Developer AI tools, side by side

An AWS service that gives your code access to models from many AI companies through one API, so you can switch models without switching providers. It also includes AgentCore for building and running agents, Knowledge Bases for connecting models to your own data, fine-tuning and Guardrails safety filters.

Free to start: No separate free tier. New AWS customers get up to $200 in Free Tier credits; trying a model in the Bedrock playground is one of the activities that earns them. (as of Oct 13, 2026)

Based in: 🇺🇸 United States, Seattle, Washington (Amazon Web Services, Inc.). Source

Terms: RAG · Fine-tuning · Guardrails

Checked Oct 13, 2026 on the company’s own site: Amazon Bedrock · AWS Free Tier · AWS Free Tier credits

AWS’s fully managed service for building, training and deploying machine learning models, including your own. It offers notebooks, managed training (with SageMaker HyperPod for large GPU clusters) and hosted inference endpoints, and works with any model, framework (PyTorch, TensorFlow, JAX) or container. Its JumpStart hub has 1,000+ ready-to-deploy models, including open models.

Free to start: AWS Free Tier gives limited monthly usage (for example 250 notebook hours and 50 training hours) for the first 2 months; after that you pay for what you use.

Based in: 🇺🇸 United States, Seattle, Washington (Amazon Web Services, Inc.). Source

Terms: Cloud computing · GPU

Checked Oct 13, 2026 on the company’s own site: Amazon SageMaker AI · SageMaker AI pricing · What is Amazon SageMaker AI? (AWS docs)

Note: Google renamed Vertex AI to Gemini Enterprise Agent Platform. Its product page now calls it Gemini platform.

Google Cloud's platform for building with AI models and agents, and the successor to Vertex AI. Its Model Garden offers more than 200 Google and third-party models, including Gemini, Anthropic's Claude models and open models such as Gemma, with tools to tune, evaluate and deploy them.

Free to start: Google Cloud says new customers get up to $300 in free credits to try the platform and other Google Cloud products. (as of Oct 13, 2026)

Based in: 🇺🇸 United States, Mountain View, California (Google LLC). Google LLC is organized under Delaware law; its address is in Mountain View, California. Source

Terms: Fine-tuning · Foundation model

Checked Oct 13, 2026 on the company’s own site: Agent Platform product page · Vertex AI name changes · Google Cloud free trial

Note: Formerly Azure AI Foundry (and before that Azure AI Studio).

Microsoft's Azure platform for building AI apps and agents, with a model catalog that includes OpenAI, Anthropic, Microsoft, DeepSeek and other models. It adds tracing, evaluations and governance controls, and connects to Azure services and Microsoft Entra ID.

Free to start: You can browse Foundry without an Azure account, but building needs an Azure subscription. Microsoft offers a free Azure trial for up to 30 days.

Based in: 🇺🇸 United States, Redmond, Washington (Microsoft Corporation). Source

Terms: Guardrails

Checked Oct 13, 2026 on the company’s own site: Microsoft Foundry · What is Microsoft Foundry? · Foundry model catalog

NVIDIA's platform for scheduling and sharing GPUs among AI workloads (development, training and inference) on Kubernetes. On October 13, 2026 NVIDIA released the whole platform as open source under Apache 2.0, plus four parts you can use on their own: KAI Scheduler (a CNCF Sandbox project), a GPU Fractioning Operator for sharing one GPU, KAI Resource Management for team quotas, and Workload Map. An integrated Community build with a Helm chart is on NVIDIA NGC without a paid subscription.

Free to start: The source code is free under Apache 2.0; the NGC Community build needs no paid Run:ai subscription (you accept NVIDIA's software licence to download it). Commercial supported offerings are sold separately. Open source: Run:ai and KAI Scheduler repositories are Apache 2.0.

Based in: 🇺🇸 United States, Santa Clara, California (NVIDIA Corporation). Source

Terms: GPU · Open-source AI · On-premises

Checked Oct 13, 2026 on the company’s own site: NVIDIA blog: Run:ai is now open source · Run:ai on GitHub · KAI Scheduler on GitHub

Note: AWS says you access Nova models through the Amazon Bedrock API, so Nova is listed as part of Bedrock.

Amazon’s own family of models, including Nova 2 Lite for everyday reasoning tasks and Nova 2.5 Sonic for real-time speech-to-speech voice agents. AWS also offers Nova Act for building agents that operate web browsers, and Nova Forge for building your own model on top of Nova.

Free to start: No separate free tier. New AWS customers get up to $200 in AWS credits to try AWS AI services. (as of Oct 13, 2026)

Based in: 🇺🇸 United States, Seattle, Washington (Amazon Web Services, Inc.). Amazon’s model family, offered by AWS through Amazon Bedrock. Source

Terms: Foundation model · Reasoning model

Checked Oct 13, 2026 on the company’s own site: Amazon Nova · Nova models · Nova pricing · Nova user guide

Anthropic's API gives your code access to its Claude models: currently Fable 5.1, Opus 5.5, Sonnet 5.5 and Haiku 5.5. It also offers Managed Agents, web search and a sandboxed code-execution tool, each billed by use.

Free to start: Anthropic says new users get a small amount of free credits to test the API.

Based in: 🇺🇸 United States, San Francisco, California (Anthropic PBC). Source

Terms: Context window

Checked Oct 13, 2026 on the company’s own site: Claude pricing · Claude API pricing FAQ

Cohere sells business-focused models through its API: Command for generating text, Embed for turning text into embeddings, Rerank for sorting search results, plus Transcribe, Translate and Parse. It also offers dedicated hosting (Model Vault) and private deployments on your own servers or private cloud.

Free to start: Every account gets a free Trial API key. Trial keys are rate-limited (1,000 calls a month) and may not be used for production or commercial work; production keys are pay-as-you-go.

Based in: 🇨🇦 Canada, Toronto, Ontario (Cohere). City from the mailing address in Cohere’s privacy policy. Source

Terms: Embeddings · RAG · On-premises

Checked Oct 13, 2026 on the company’s own site: Cohere pricing · API keys and rate limits · Deployment options

DeepSeek’s API serves its own models, currently DeepSeek-V4.1-Flash, with a 1-million-token context window. It accepts both OpenAI-style and Anthropic-style requests, and prices are half during off-peak hours.

Free to start: Not listed. Open source: DeepSeek links to the DeepSeek-V4.1-Flash weights on its Hugging Face page, where they are published under the MIT license.

Based in: 🇨🇳 China (Hangzhou DeepSeek Artificial Intelligence Co., Ltd.). Run by Hangzhou DeepSeek Artificial Intelligence Co., Ltd., with its registered address in China. Source

Terms: Context window · Open-weight model

Checked Oct 13, 2026 on the company’s own site: Models and pricing · V4.1-Flash release note · Weights on Hugging Face

Apple’s Swift framework for using the language models behind Apple Intelligence in your own apps, on the device or in Apple’s Private Cloud Compute. The same API can also use another provider’s models. It supports text and image prompts, guided generation of Swift data types (@Generable) and tool calling.

Free to start: Apple says apps in the App Store Small Business Program with fewer than 2 million first-time App Store downloads can use its newest models on Private Cloud Compute at no cloud API cost. People need a device that supports Apple Intelligence.

Based in: 🇺🇸 United States, Cupertino, California (Apple Inc.). Source

Terms: Foundation model · Edge computing

Checked Oct 13, 2026 on the company’s own site: Foundation Models documentation · Apple Intelligence for developers

Google's developer API for its Gemini models, with Google AI Studio as a free web workspace for trying prompts. It covers text, images, audio and video, plus embedding and text-to-speech models and tools like Google Search grounding and code execution.

Free to start: Free tier with limited models and lower rate limits. On the free tier Google uses your content to improve its products; on the paid tier it does not.

Based in: 🇺🇸 United States, Mountain View, California (Google LLC). Google LLC is organized under Delaware law; its address is in Mountain View, California. Source

Terms: Embeddings · Context window

Checked Oct 13, 2026 on the company’s own site: Gemini API pricing

Note: Not the same as Groq. Grok, spelled with a k, is xAI’s family of models (xAI’s site now brands itself SpaceXAI). Groq, with a q, is a separate inference company, listed under Model hosting & inference.

xAI's API for its Grok models, led by Grok 4.7 for code, chat and reasoning, plus Grok Imagine for images and video and a Voice API for speech. It works with the OpenAI SDK by changing the base URL, and offers server-side web search and X search tools.

Free to start: No free API tier or free credits are listed. Every Console account includes a free Playground for testing models; API use is paid from prepaid credits or monthly invoicing. Open source: xAI published the weights of an older model, Grok-1, in March 2024 under Apache 2.0. xAI's site does not list the current API models as open weights.

Based in: 🇺🇸 United States, Austin, Texas (SpaceXAI LLC). SpaceXAI LLC is a Nevada company with its registered offices in Austin, Texas. Source

Terms: Context window · Open-weight model · Zero data retention

Checked Oct 13, 2026 on the company’s own site: xAI API · Models and pricing · Billing · Open release of Grok-1

Moonshot AI’s developer platform for its Kimi models, led by Kimi K3, a flagship model with a 1-million-token context window aimed at software engineering and deep reasoning. It also offers K2.7 Code for coding and built-in tools such as web search and code execution.

Free to start: The platform lists per-token prices (Kimi K3: $3 in / $15 out per million tokens) and doesn’t mention a free tier. (as of Oct 13, 2026) Open source: Moonshot publishes the Kimi K3 weights on Hugging Face under its own Kimi K3 license, based on MIT, with extra conditions for very large companies that offer the model as a paid API service.

Based in: 🇨🇳 China, Beijing (Moonshot AI). Moonshot AI’s About page gives its address in Beijing; its Kimi privacy policy names Beijing Moonshot Technology Co., Ltd. and says data is stored in the People’s Republic of China. Operating company for the Kimi API platform: Moonshot AI PTE. LTD., Singapore. Source

Terms: Context window · Open-weight model

Checked Oct 13, 2026 on the company’s own site: Kimi API platform · Kimi K3 on Hugging Face · Kimi K3 license

A REST API for Manus, a general AI agent. You create a task, the agent works on it on its own, and you poll for its messages or receive webhooks when it stops; you can ask for the result as structured JSON by passing a schema. API v2 is current, and v1 is deprecated.

Free to start: Not listed.

Based in: 🇸🇬 Singapore (Butterfly Effect Pte. Ltd.). Manus’s privacy policy says it is headquartered in Singapore; its terms name Butterfly Effect Pte. Ltd. as the company providing Manus. Source

Terms: Cloud computing

Checked Oct 13, 2026 on the company’s own site: Manus API introduction · Task lifecycle · Manus

Note: Meta’s former Llama API address (llama.developer.meta.com) and llama.com now forward to Meta Model API. Its docs list Meta’s Muse models; Llama models are not listed.

Meta’s pay-as-you-go API for its Muse Spark models, plus Muse Image for images, Muse Voice Transcribe for speech-to-text and Segment Anything (SAM 3.1) for finding objects in images and video. It works with the OpenAI and Anthropic SDKs by changing the base URL, and Meta also offers Muse Code, a coding agent for the terminal.

Free to start: Not listed. Open source: Meta publishes Muse Glimmer, a 30B open-weight model, under Apache 2.0 for running on your own hardware. The hosted Muse Spark models are not open.

Based in: 🇺🇸 United States, Menlo Park, California (Meta Platforms, Inc.). Source

Terms: Context window · Open-weight model

Checked Oct 13, 2026 on the company’s own site: Docs overview · Pricing and rate limits · Open-weight models

A Microsoft decision-scoring model: you give it a situation and a fixed set of answer options (yes/no, multiple choice, ratings or a rubric) and it returns a calibrated probability for each option instead of generating text. It is built for routing, classification, prioritization, verification, grading AI or agent actions and workflow control. Microsoft post-trained it from Qwen3.5-9B.

Free to start: Input tokens cost $0.042 per million; output tokens are free. No free tier listed. (as of Oct 13, 2026)

Based in: 🇺🇸 United States, Redmond, Washington (Microsoft Corporation). Source

Terms: Cloud computing

Checked Oct 13, 2026 on the company’s own site: Introducing Microsoft-Decision-1 (Microsoft) · Microsoft Foundry catalog

Mistral sells API access to its models through Mistral Studio, priced per million tokens, with 50% off for batch jobs. Some of its models are published as open weights that you can download and run on your own servers.

Free to start: Mistral’s Free plan gives limited access to Vibe and includes access to Mistral Studio. Open source: Mistral says its open-weight models (for example Mistral 7B) are Apache 2.0 licensed for research and individual use, and commercial deployments need a Mistral license.

Based in: 🇫🇷 France, Paris (Mistral AI). Source

Terms: Open-weight model

Checked Oct 13, 2026 on the company’s own site: Mistral pricing and FAQ · Mistral Studio

OpenAI's API lets your code use the GPT models behind ChatGPT, currently led by GPT-6 Astra, GPT-6.1 Sol and GPT-6 Luna. It also offers the Agents SDK and Responses API for building agents, with built-in tools such as web search, file search and remote MCP servers.

Free to start: OpenAI's API page lists pay-as-you-go pricing and does not mention a free tier.

Based in: 🇺🇸 United States, San Francisco, California (OpenAI OpCo, LLC). Source

Terms: Context window · Zero data retention

Checked Oct 13, 2026 on the company’s own site: OpenAI API Platform

Note: OpenAI offers the Decisions API as an endpoint of the OpenAI API (POST /v1/decisions), so it is listed as part of the OpenAI API.

An OpenAI API endpoint for quick, structured answers instead of written replies: the probability that a statement is true, a pick from a fixed list of options, or a score against a rubric, for text and images. OpenAI says it is about 10 times faster than asking the same question through the Responses API. It is in public beta, and gpt-6-luna is the only model.

Free to start: Paid by use: $0.10 per 1 million input tokens with gpt-6-luna, and no charge for output tokens. (as of Oct 13, 2026)

Based in: 🇺🇸 United States, San Francisco, California (OpenAI OpCo, LLC). Source

Terms: Inference · Latency

Checked Oct 13, 2026 on the company’s own site: Decisions guide · OpenAI API pricing · Public beta announcement (OpenAI Developer Community)

Perplexity’s developer APIs. The Agent API gives web-grounded answers with citations and can also call models from OpenAI, Anthropic, Google and xAI with web search tools. The Search API returns ranked web results, and there is also an Embeddings API. The Orchestrator API (formerly the Router API, now in private preview) gives one API key for open-weight models hosted by Perplexity. Sonar Chat Completions is now the Agent API.

Free to start: Paid by use; the Search API is $5 per 1,000 requests. (as of Oct 13, 2026)

Based in: 🇺🇸 United States, San Francisco, California (Perplexity AI, Inc.). City from the mailing address in Perplexity’s terms of service. Source

Terms: RAG · Embeddings

Checked Oct 13, 2026 on the company’s own site: Perplexity API Platform · API docs · API pricing · Orchestrator API docs

Qwen is a family of models offered through an API that uses the same request format as the OpenAI API. Many Qwen models are also released as open weights, such as the small Qwen3.5-2B and the image model Qwen-Image-2.1.

Free to start: The Qwen site says its chat app is free; it doesn’t state a free tier for the API. Open source: Many Qwen models are published on Hugging Face; Qwen3.5-2B, for example, is Apache 2.0. Licenses vary by model.

Based in: 🇨🇳 China, Hangzhou (Alibaba Cloud (Qwen team)). Qwen models are developed by the Qwen team at Alibaba Cloud. Qwen’s GitHub organization lists China; city from Alibaba’s GitHub organization (Hangzhou, China). Operating company for qwen.ai: Nth Power Global Tech Singapore Pte. Ltd., Singapore. Source

Terms: Open-weight model

Checked Oct 13, 2026 on the company’s own site: Qwen · Qwen3.5-2B on Hugging Face

Jev is TypeSafe AI’s decision model (“System One model”). Instead of generating text, you send it some state plus typed questions (Choice, Score or yes/no “Noul”) and it returns structured answers with probabilities and a confidence value your code can branch on. All questions in a call are evaluated in parallel. It is used through an API, a Python SDK and a web Playground.

Free to start: TypeSafe’s pages do not list prices or a free tier; sign up in the API console.

Based in: 🇺🇸 United States, San Francisco, California (TypeSafe AI, Inc.). Source

Terms: Cloud computing

Checked Oct 13, 2026 on the company’s own site: TypeSafe docs: Introduction · TypeSafe docs: Quick start · Introducing System One Models & Jev

Z.ai sells API access to its GLM models, led by GLM-5.3 for coding and long software tasks, along with vision, image, video and speech models. Several GLM models are also published as open weights.

Free to start: Some smaller models, such as GLM-4.7-Flash and GLM-4.5-Flash, are listed as free; the others are priced per million tokens. Open source: GLM-5.3 weights are on Z.ai’s Hugging Face page under its own GLM-5.3 license: free to use and modify, with extra conditions for very large companies that offer the model as a paid API service. GLM-5.3-Flash is MIT licensed.

Based in: 🇨🇳 China, Beijing (Z.ai (Zhipu)). Z.ai (Zhipu) describes itself as an LLM provider in China and gives its address in Beijing. Operating company for the Z.ai API platform: JINGSHENG HENGXING TECHNOLOGY PTE.LTD, Singapore. Source

Terms: Open-weight model · Context window

Checked Oct 13, 2026 on the company’s own site: Z.ai pricing · GLM-5.3 on Hugging Face · GLM-5.3 license

Runs AI models on GPUs in Cloudflare’s global network, called from your code without managing servers. It offers 50+ open-source models and fits with Cloudflare’s other developer tools, such as AI Gateway and its vector database.

Free to start: Everyone gets 10,000 Neurons a day free (Neurons are Cloudflare’s usage unit); beyond that you need Workers Paid at $0.011 per 1,000 Neurons. (as of Oct 13, 2026)

Based in: 🇺🇸 United States, San Francisco, California (Cloudflare, Inc.). Source

Terms: Inference · Edge computing · GPU

Checked Oct 13, 2026 on the company’s own site: Workers AI docs · Pricing

Note: Not the same as Grok. Groq, spelled with a q, runs fast inference on its own chips. Grok, with a k, is xAI’s (SpaceXAI’s) family of models, listed under Model APIs.

Groq designs its own inference chips, called LPUs, and runs open models on them in GroqCloud, an API that works with the OpenAI SDK. Its newer LPX systems work alongside NVIDIA GPUs.

Free to start: You start on a Free tier. Adding a payment method moves you to the pay-as-you-go Developer tier, which Groq says adds more capacity and features.

Based in: 🇺🇸 United States, Mountain View, California (Groq LLC). City from Groq’s mailing address (a P.O. box). Source

Terms: Inference · Latency · Grok

Checked Oct 13, 2026 on the company’s own site: Groq · GroqCloud docs · Rate limits · Billing FAQs

The site where AI companies and researchers publish open models and datasets; most of the open models in this directory are downloaded from it. Through Inference Providers you can call 200+ models from many hosting companies with one account and no Hugging Face markup, or rent dedicated servers for a model with Inference Endpoints.

Free to start: Free accounts can run Spaces on free CPU hardware. Inference Providers needs purchased credits on a free account; PRO ($9 a month) includes $2 of monthly credits. (as of Oct 13, 2026) Open source: Its Transformers library and many other tools are open source (Apache 2.0); the Hub service itself is not.

Based in: 🇺🇸 United States (Hugging Face). Hugging Face says the company is located in the United States; its main EU establishment is Hugging Face SAS in Paris, France. Source

Terms: Open-weight model · Inference · Fine-tuning

Checked Oct 13, 2026 on the company’s own site: Pricing · Inference Providers pricing · Transformers LICENSE

An open-source AI gateway and Python SDK that you run yourself: one OpenAI-compatible API in front of many model providers, with keys, spending limits, routing and logging for a whole team. A paid Enterprise version adds more admin features.

Free to start: The open-source gateway is free forever to self-host; LiteLLM Enterprise is paid. Open source: Code outside the enterprise/ folder is MIT; the enterprise folder has its own license.

Based in: 🇺🇸 United States, San Francisco, California (Berrie AI Incorporated). Source

Terms: Inference · Latency

Checked Oct 13, 2026 on the company’s own site: LiteLLM · About · Docs · License

A European inference API that serves 60+ open-weight models (such as GLM, Qwen, DeepSeek, Kimi and Mistral) on EU-based providers only. It is OpenAI- and Anthropic-compatible, so you change the base URL and keep your code; it fails over between providers, lets you add :speed, :price or :eco to a model ID, and reports the energy and carbon cost of every response.

Free to start: Pay-as-you-go credits with no minimums; coding subscriptions for businesses from €49 a month. No free tier listed.

Based in: 🇩🇪 Germany, Saarbrücken (Melious AI GmbH). Source

Terms: Open-weight model · Cloud computing

Checked Oct 13, 2026 on the company’s own site: Melious Inference API · Melious docs · Melious pricing

One API and one bill for 500+ models from 80+ providers. If a provider goes down, requests can fall back to another. OpenRouter passes through each provider’s price without markup and charges a fee when you buy credits.

Free to start: Not listed.

Based in: 🇺🇸 United States, New York, New York (OpenRouter, Inc.). City from the notice address in OpenRouter’s terms. Source

Terms: Inference

Checked Oct 13, 2026 on the company’s own site: OpenRouter · FAQ

Note: Replicate has joined Cloudflare. It says it will carry on as a distinct brand and its API isn’t changing.

A site for running models through an API, from thousands of community-contributed open models to commercial ones. Most models are billed for the time they run, and you can package and deploy your own model with Cog, Replicate’s open-source tool.

Free to start: You can run select models for free; after a while you’re asked to set up billing. Open source: Cog, its tool for packaging models, is open source (Apache 2.0); the Replicate service is not.

Based in: 🇺🇸 United States, San Francisco, California (Replicate, LLC). Replicate joined Cloudflare (Replicate blog); both list 101 Townsend St., San Francisco. Source

Terms: Open-weight model · Inference

Checked Oct 13, 2026 on the company’s own site: Pricing · Billing docs · Replicate is joining Cloudflare · Cog LICENSE

A cloud for running open models: call them through an OpenAI-compatible API and pay per token, rent dedicated GPUs for one model, fine-tune models on your own data, or book H100 and B200 GPU clusters.

Free to start: Together says it does not offer free trials; you need to buy at least $15 of credits to start. (as of Oct 13, 2026)

Based in: 🇺🇸 United States, San Francisco, California (Together Computer, Inc.). Together Computer, Inc. is a Delaware corporation; city from the notice address in its terms. Source

Terms: Open-weight model · Fine-tuning · GPU

Checked Oct 13, 2026 on the company’s own site: Docs overview · Billing and credits · Pricing

One API key for hundreds of text, image, video and audio models. Vercel charges each provider’s list price with no markup, and on paid use you can bring your own provider keys.

Free to start: Every Vercel team gets $5 a month in AI Gateway credits for a subset of models; beyond that you buy credits. (as of Oct 13, 2026)

Based in: 🇺🇸 United States, Covina, California (Vercel Inc.). City from the mailing address in Vercel’s privacy notice. Source

Terms: Inference

Checked Oct 13, 2026 on the company’s own site: AI Gateway · AI Gateway pricing

Deploys and serves AI models across Vultr’s data centers on six continents without you managing the servers. It is part of Vultr’s cloud, which also rents GPUs.

Free to start: The product page offers a free account but doesn’t list a free usage tier.

Based in: 🇺🇸 United States, West Palm Beach, Florida (The Constant Company, LLC (Vultr)). Vultr’s contact page gives its location in West Palm Beach, Florida; its terms name The Constant Company, LLC. Source

Terms: Inference · GPU

Checked Oct 13, 2026 on the company’s own site: Vultr Serverless Inference

Note: Announced Oct 5, 2026; not downloadable yet. Reflection says it will release the weights later this month and offers early-access sign-up.

Reflection AI’s first open-weight model: a mixture-of-experts model with 501B total parameters, 23B of them active at a time, built for coding, reasoning and agent work. Reflection says it is going through final safety testing.

Free to start: Not available yet; only an early-access sign-up. Open source: Reflection describes Beam as open-weight, with weights due later this month. The license is not stated yet.

Based in: 🇺🇸 United States, Brooklyn, New York (Reflection AI, Inc.). Source

Terms: Open-weight model · Parameters

Checked Oct 13, 2026 on the company’s own site: Introducing Beam · Reflection AI

Clef is Cloudflare’s family of open decision models, tuned to make decisions such as approving, classifying or routing items in workflows rather than to chat. Clef is a 27B model, Clef-Flash is a smaller, cheaper version, and Clef-Omni (Oct 2026) also accepts images, audio and video. All are post-trained from Qwen and also hosted on Workers AI.

Free to start: The weights are free to download. Open source: Published under Apache 2.0 on Cloudflare’s Hugging Face page.

Based in: 🇺🇸 United States, San Francisco, California (Cloudflare, Inc.). Source

Terms: Open-weight model · Fine-tuning

Checked Oct 13, 2026 on the company’s own site: Clef model card · Clef-Flash model card · Clef-Omni model card

A small 740M-parameter open model that turns text, images, audio and video into embeddings, so you can search across all of them together. It is built on Gemma 4 and is designed to run locally and offline on consumer GPUs or CPUs.

Free to start: The weights are free to download. Open source: Google publishes the weights under the Apache 2.0 license.

Based in: 🇺🇸 United States, Mountain View, California (Google LLC). Google LLC is organized under Delaware law; its address is in Mountain View, California. Source

Terms: Embeddings · RAG · Open-weight model

Checked Oct 13, 2026 on the company’s own site: EmbeddingGemma docs · Model card on Hugging Face

The Falcon family from TII in Abu Dhabi includes the Falcon-H1 language models, Falcon-H1-Arabic, Falcon Perception for images, and three new models for the UAE: Falcon-Emirati, Falcon-ASR for speech recognition and Falcon-OCR-Arabic for reading Arabic text in images.

Free to start: Open models are free to download; TII also offers web demos of the new models. Open source: TII says it releases its Falcon models as open source or open access. Licenses vary by model; Falcon-OCR, for example, is Apache 2.0 on Hugging Face.

Based in: 🇦🇪 United Arab Emirates, Abu Dhabi (Technology Innovation Institute). TII is part of the Abu Dhabi Government’s Advanced Technology Research Council (TII About page). Source

Terms: Open-weight model

Checked Oct 13, 2026 on the company’s own site: Falcon LLM · Falcon-OCR on Hugging Face

Google’s family of open models, sized from small E2B and E4B versions for phones and other devices up to 12B, 26B and 31B versions for personal computers and servers. Gemma 4 reads text, audio and images and has a 256K-token context window. Related models include DiffusionGemma, TranslateGemma and MedGemma.

Free to start: The weights are free to download. Open source: Gemma 4 weights are published on Google’s Hugging Face page under Apache 2.0.

Based in: 🇺🇸 United States, Mountain View, California (Google LLC). Google LLC is organized under Delaware law; its address is in Mountain View, California. Source

Terms: Open-weight model · Context window · Edge computing

Checked Oct 13, 2026 on the company’s own site: Gemma · Gemma docs · Gemma 4 31B on Hugging Face

Mellum is JetBrains’ open coding model family. The current version, Mellum2.1, is a 12B mixture-of-experts “thinking” model with 2.5B active parameters, trained with reinforcement learning in real repositories so it can explore a codebase, edit files, run commands and call tools. It is small and fast enough to run on your own hardware as a coding agent or sub-agent.

Free to start: The weights are free to download from JetBrains’ Hugging Face page. Open source: Published under Apache 2.0 on JetBrains’ Hugging Face page.

Based in: 🇳🇱 Netherlands, Amsterdam (JetBrains N.V.). JetBrains also has major offices in Prague and Munich. Source

Terms: Open-weight model

Checked Oct 13, 2026 on the company’s own site: Mellum2.1 model card · JetBrains AI blog: Mellum2.1

An open-weight model from German company Aleph Alpha for German and English. It is a mixture-of-experts model with 78B total parameters, of which about 3.5B are active for each token, and it can take in up to about 1 million tokens.

Free to start: The weights are free to download. Open source: Published under Apache 2.0 on Aleph Alpha’s Hugging Face page.

Based in: 🇩🇪 Germany, Heidelberg (Aleph Alpha GmbH). Source

Terms: Open-weight model · Parameters · Context window

Checked Oct 13, 2026 on the company’s own site: Kolibri-1 model card · Aleph Alpha

NVIDIA’s pretrained model for classification and regression on tables of data, such as spreadsheets and database records, rather than text.

Free to start: Free to download. Open source: Published on NVIDIA’s Hugging Face page under the OpenMDW 1.1 license.

Based in: 🇺🇸 United States, Santa Clara, California (NVIDIA Corporation). Source

Terms: Open-weight model · Machine learning

Checked Oct 13, 2026 on the company’s own site: Kumo-Tabular model card

Poolside’s open-weight models for coding agents. Laguna XS 2.1 (33B parameters, 3B active, 256K context) is small enough to run on your own device; Laguna S 2.1 (118B, 8B active, 1M context) is its newest. Both are also available on OpenRouter and Vercel AI Gateway.

Free to start: The weights are free to download; hosted use is billed by the provider. Open source: Laguna XS 2.1 and S 2.1 are published under the OpenMDW 1.1 license; the earlier Laguna XS.2 is Apache 2.0.

Based in: 🇺🇸 United States, San Francisco, California (Poolside, Inc.). Poolside, Inc. is a Delaware corporation with offices in San Francisco. Source

Terms: Open-weight model · Parameters · Context window

Checked Oct 13, 2026 on the company’s own site: Poolside · Laguna XS 2.1 on Hugging Face · Laguna S 2.1 on Hugging Face

Liquid AI's d1 "decision models" return structured answers (yes/no, a pick from named options, or a score) in a single forward pass instead of writing text. On October 7, 2026, Liquid AI released two of them as open weights on Hugging Face: d1-3B, which reads text and images, and d1-omni-600M, an early research checkpoint that reads text with images or audio. Liquid AI reports d1-3B answers a question in 8 ms on an NVIDIA RTX 4090. They run locally with llama.cpp, and a hosted d1 model is also offered through the Liquid API.

Free to start: The open weights are free to download. Commercial use is licensed only for organizations under $10 million in annual revenue (LFM Open License v1.0). (as of Oct 13, 2026) Open source: Open weights under Liquid AI's LFM Open License v1.0, which limits commercial use to organizations with under $10 million in annual revenue.

Based in: 🇺🇸 United States, Cambridge, Massachusetts (Liquid AI, Inc.). Source

Terms: Open-weight model · Edge computing · Latency · Parameters

Checked Oct 13, 2026 on the company’s own site: Liquid AI blog: Open d1 · d1-3B on Hugging Face · d1-omni-600M on Hugging Face · d1 docs (Liquid API)

Liquid AI's Liquid Foundation Models (LFM): small, fast open-weight text, vision and audio models from 230M to 24B parameters, built to run on devices. The largest, LFM2.5-24B-A2B (Oct 13, 2026), is a mixture-of-experts reasoning model with about 2B active parameters and a 131K context, built for private on-device agents with tool use. Weights are on Hugging Face with day-one llama.cpp, MLX and vLLM support; a paid API is available through Liquid Console.

Free to start: Open weights are free to download; commercial use only for companies under $10 million in annual revenue (LFM Open License v1.0). Liquid Console gives $2 of API credit at sign-up. (as of Oct 13, 2026) Open source: Open weights under the LFM Open License v1.0, which ends commercial rights above $10 million annual revenue.

Based in: 🇺🇸 United States, Cambridge, Massachusetts (Liquid AI, Inc.). Source

Terms: Open-weight model · Edge computing · Reasoning model · Parameters

Checked Oct 13, 2026 on the company’s own site: Liquid AI blog: LFM2.5-24B-A2B · LFM2.5-24B-A2B on Hugging Face · Liquid docs · LFM Open License

KT’s Korea-centric open models, in a Base and a smaller Mini version, built to understand Korean language and culture.

Free to start: Free to download. Open source: Published on KT’s Hugging Face page under the MIT license.

Based in: 🇰🇷 South Korea (KT Corp.). Source

Terms: Open-weight model

Checked Oct 13, 2026 on the company’s own site: Mi:dm 2.0 Base model card

NVIDIA's open platform of world foundation models, datasets and tools for physical AI: robots, autonomous vehicles and smart infrastructure. Cosmos models generate and predict video of how a scene will unfold, create synthetic training data, and reason about the physical world; the latest generation, Cosmos 3, is one omnimodal model family. Post-training scripts are on GitHub, and the models can be served with Diffusers, Transformers, vLLM, SGLang, TensorRT-LLM or NVIDIA NIM.

Free to start: Models and code are openly available to download. Open source: NVIDIA says the source code and models are released under the Linux Foundation's OpenMDW-1.1 license.

Based in: 🇺🇸 United States, Santa Clara, California (NVIDIA Corporation). Source

Terms: Foundation model · Open-weight model · GPU

Checked Oct 13, 2026 on the company’s own site: NVIDIA Cosmos · Cosmos on GitHub

NVIDIA's open foundation models for humanoid and other general-purpose robots. GR00T N1.7, the current release, takes language and camera images and outputs robot actions for manipulation tasks, and can be post-trained on your own robot's real or synthetic demonstration data. The weights are on Hugging Face and the fine-tuning and inference code is on GitHub; NVIDIA pairs it with Isaac Lab, Isaac Sim and Jetson Thor for training, simulation and on-robot inference.

Free to start: Weights and code are free to download. Open source: Model weights are under the NVIDIA Open Model License; the GitHub code is Apache 2.0.

Based in: 🇺🇸 United States, Santa Clara, California (NVIDIA Corporation). Source

Terms: Foundation model · Open-weight model · Fine-tuning

Checked Oct 13, 2026 on the company’s own site: NVIDIA Isaac GR00T · Isaac-GR00T on GitHub · GR00T N1.7 on Hugging Face

NVIDIA’s family of open models for AI agents, including the Nemotron 3.5 Lightning models and safety and speech models. NVIDIA publishes the training data as well, and the models run on anything from edge devices to the cloud.

Free to start: The models are openly available to download. Open source: NVIDIA calls the models openly available and publishes training data. Licenses vary by model; many use the NVIDIA Open Model License, which NVIDIA describes as permissive and allowing commercial use.

Based in: 🇺🇸 United States, Santa Clara, California (NVIDIA Corporation). Source

Terms: Open-weight model · GPU

Checked Oct 13, 2026 on the company’s own site: NVIDIA Nemotron

Perplexity’s open embedding models for search. The newest pair, pplx-embed-v2-late in 0.6B and 9B sizes, can search text, images and visual documents such as rendered PDF pages without OCR. Both sizes share one embedding space, so the small model can query an index built with the large one. They work with sentence-transformers and transformers.

Free to start: Both models are free to download from Hugging Face. Open source: Perplexity publishes both models on Hugging Face under the MIT license.

Based in: 🇺🇸 United States, San Francisco, California (Perplexity AI, Inc.). City from the mailing address in Perplexity’s terms of service. Source

Terms: Embeddings · Open-weight model · RAG

Checked Oct 13, 2026 on the company’s own site: pplx-embed-v2-late-0.6b on Hugging Face · pplx-embed-v2-late-9b on Hugging Face · Perplexity blog: Multimodal embeddings beyond a single vector

A small 2B-parameter model that makes quick decisions inside agents, such as which tool to call next, in tens of milliseconds on a local CPU or GPU. The code, weights, training data and scripts are all published.

Free to start: Free to download. Open source: Code is on GitHub and the weights are on Hugging Face under Apache 2.0, along with the training data and scripts.

Based in: 🇺🇸 United States, Seattle, Washington (Amazon Web Services, Inc.). From the Strands Agents project; the strandsagents.com site is © Amazon Web Services, Inc. Source

Terms: Open-source AI · Parameters · Latency

Checked Oct 13, 2026 on the company’s own site: Introducing Strands Decider 2B · Weights on Hugging Face

Tencent’s Hy open models (Tencent’s Hunyuan website, hunyuan.tencent.com, now uses the Hy name). Hy3 is a mixture-of-experts language model with 295B total parameters, 21B of them active; the family also includes Hy-MT2 translation models and a Hy4 preview.

Free to start: Free to download. Open source: Hy3 is published on Tencent’s Hugging Face page under Apache 2.0; check each model’s card, as licenses can differ.

Based in: 🇨🇳 China, Shenzhen (Tencent). Source

Terms: Open-weight model · Parameters

Checked Oct 13, 2026 on the company’s own site: Hy3 model card · Tencent Hy

Atlassian’s official MCP server, hosted by Atlassian. It lets AI tools such as ChatGPT, Claude, GitHub Copilot CLI or Gemini search and update Jira, Confluence, Jira Service Management, Bitbucket, Loom and other Atlassian Cloud data, within each user’s existing permissions. Atlassian says version 2 went from dozens of tools to more than 200.

Free to start: Each call uses Rovo credits from your organization’s shared pool; allowances depend on your Atlassian plan.

Based in: 🇦🇺 Australia, Sydney (Atlassian). Source

Terms: Prompt injection

Checked Oct 13, 2026 on the company’s own site: Rovo MCP · Getting started · GitHub repository · Team ’26 Europe announcement

An open-source Python framework for multi-agent workflows, where several AI agents each get a role and work through a task together. The company also sells an enterprise platform for building, running and governing agents.

Free to start: The framework is free under the MIT license. Open source: Yes, MIT license.

Based in: 🇺🇸 United States (CrewAI, Inc.). CrewAI’s GitHub organization lists the United States; its terms say CrewAI, Inc. is a Delaware corporation. No city is stated. Source

Terms: Prompt injection

Checked Oct 13, 2026 on the company’s own site: CrewAI · CrewAI on GitHub

An open-source framework for building apps and agents on top of language models, with ready-made connections to many model providers, databases and tools. The same company makes LangGraph for lower-level agent control, Deep Agents for long-running agents, and LangSmith, a hosted platform for testing, monitoring and deploying agents.

Free to start: The library is free under the MIT license. Open source: Yes, MIT license.

Based in: 🇺🇸 United States (LangChain Inc.). LangChain Inc. is a Delaware corporation; no headquarters city is stated. Source

Terms: RAG · Embeddings

Checked Oct 13, 2026 on the company’s own site: LangChain · LICENSE (MIT)

An open-source Python framework for connecting language models to your own data, commonly used for retrieval-augmented generation (RAG) over documents. The company also runs LlamaParse, a hosted service that turns PDFs, tables, charts and scans into clean text that AI apps can use.

Free to start: The framework is free under the MIT license. LlamaParse has a free plan with 10,000 credits a month (about 1,000 pages). Open source: Yes, MIT license.

Based in: 🇺🇸 United States, San Francisco, California (LlamaIndex, Inc.). LlamaIndex’s GitHub organization lists the United States; city from the office named on its careers page. Its terms and privacy notice give no address. Source

Terms: RAG · Embeddings

Checked Oct 13, 2026 on the company’s own site: LlamaIndex · LICENSE (MIT)

An open-source MCP server from Google that connects AI agents, coding tools and apps directly to your company databases, handling connections and security so you don’t have to.

Free to start: Free to use. Open source: Apache 2.0.

Based in: 🇺🇸 United States, Mountain View, California (Google LLC). Google LLC is organized under Delaware law; its address is in Mountain View, California. Source

Terms: Open-source AI

Checked Oct 13, 2026 on the company’s own site: README on GitHub

An open-source SDK from Microsoft for running AI agents, model-generated code, plugins and tools inside a sandbox. You declare which files, network destinations and screen access a workload may use in a JSON policy, and MXC enforces it with the right container for the platform: a process sandbox on Windows, macOS or Linux, or stronger options such as WSL containers and (experimental) microVMs. SDKs are available for Rust, .NET and Node.

Free to start: Free to use under the MIT license. Open source: MIT license (GitHub repository).

Based in: 🇺🇸 United States, Redmond, Washington (Microsoft Corporation). Source

Terms: Prompt injection · Open-source AI

Checked Oct 13, 2026 on the company’s own site: MXC on GitHub · Windows Developer Blog: MXC

Open-source device SDKs and firmware for connecting Meta’s Muse assistant to hardware you build yourself, using an off-the-shelf ESP32 board or a Raspberry Pi with displays, buttons and sensors.

Free to start: The SDKs are free; you need an SDK token from a Muse account. Open source: The device SDKs and firmware are Apache 2.0.

Based in: 🇺🇸 United States, Menlo Park, California (Meta Platforms, Inc.). Muse is Meta’s assistant; gadgets.muse.ai links to Meta’s AI terms. Source

Terms: Open-source AI · Edge computing

Checked Oct 13, 2026 on the company’s own site: Muse Gadgets

An open-source collection of reference architectures, infrastructure-as-code and deployment automation from AWS for building robots and other machines that perceive and act in the real world. It covers synthetic data, model training, simulation and validation, and edge deployment, and connects AWS services such as Amazon SageMaker and Amazon Bedrock AgentCore with NVIDIA's robotics stack (Isaac Sim, Isaac Lab, Isaac GR00T, Cosmos and OSMO). AWS says it is robot-agnostic and task-agnostic: you bring your own robot description, teleoperation data and task.

Free to start: The code is free under Apache 2.0; you pay for the AWS resources it deploys. Open source: Apache 2.0 license (GitHub repository).

Based in: 🇺🇸 United States, Seattle, Washington (Amazon Web Services, Inc.). Source

Terms: Open-source AI · GPU · Edge computing · Cloud computing

Checked Oct 13, 2026 on the company’s own site: Physical AI Toolchain on GitHub · AWS blog: Introducing the toolchain · About Amazon announcement

Microsoft’s lightweight, open-source kit for building AI agents and adding AI models to apps written in C#, Python or Java. It sits between your code and the models, handling prompts, plugins (functions the model can call) and memory.

Free to start: Free to use; you pay only for the models you call. Open source: MIT license.

Based in: 🇺🇸 United States, Redmond, Washington (Microsoft Corporation). Source

Terms: Open-source AI

Checked Oct 13, 2026 on the company’s own site: Introduction to Semantic Kernel · LICENSE

An open-source toolkit for building production AI agents in Python or TypeScript. It includes a ready-made agent harness, an SDK for building your own, a safe virtual shell for agents, and evaluation tools, and it works with every major model provider.

Free to start: Free to use; you pay only for the models you call. Open source: Apache 2.0 (the SDK repository is now strands-agents/harness-sdk).

Based in: 🇺🇸 United States, Seattle, Washington (Amazon Web Services, Inc.). Open-source project from AWS; the strandsagents.com site is © Amazon Web Services, Inc. Source

Terms: Open-source AI

Checked Oct 13, 2026 on the company’s own site: Strands Agents · Harness SDK on GitHub

Google DeepMind's open-source tool for adding an invisible watermark to text your own model generates, and for checking text for that watermark later. It is built into Hugging Face Transformers (v4.46.0 and later), with a reference version on GitHub.

Free to start: The code is free to use under the Apache 2.0 license. Open source: Google DeepMind publishes the reference code on GitHub under the Apache 2.0 license.

Based in: 🇺🇸 United States, Mountain View, California (Google LLC). Google DeepMind is part of Google; Google LLC is organized under Delaware law with its address in Mountain View, California. Source

Terms: Watermarking · Open-source AI

Checked Oct 13, 2026 on the company’s own site: SynthID Text docs (Google AI for Developers) · SynthID Text on GitHub · Hugging Face Transformers generation docs

Cloud sandboxes for AI agents. Each sandbox is an isolated microVM (Firecracker) that starts in a few hundred milliseconds, so an agent can run code, tool calls or whole builds away from your own servers. Sandboxes can be suspended and resumed with their memory and files kept, and you create them from the Python or TypeScript SDK or the command line.

Free to start: The Free tier is $0 with no credit card: one sandbox at a time (1 vCPU, 1 GB RAM, 10 GB disk) and sessions of up to 2 hours. Usage Credits start with a $5 prepaid pack, and Pro is $250 a month plus usage. (as of Oct 13, 2026) Open source: Tensorlake’s main GitHub repository is under the Apache 2.0 license; the sandboxes themselves run on Tensorlake’s cloud.

Based in: 🇺🇸 United States, San Francisco, California (Tensorlake, Inc.). Tensorlake’s site footer says “Built in SF”, and its terms are governed by California law. Source

Terms: Cloud computing · On-premises

Checked Oct 13, 2026 on the company’s own site: Tensorlake · Pricing · Sandboxes docs · Tensorlake FAQ · Tensorlake on GitHub

An open-source standard for connecting AI apps to outside data and tools, such as files, databases and business software. Claude, ChatGPT, VS Code, Cursor and many other apps support it, so one MCP server can work with all of them.

Free to start: Free to implement. Open source: The specification is Apache 2.0; the project says it is moving its code from MIT to Apache 2.0.

Based in: 🇺🇸 United States (Created by Anthropic; now part of the Agentic AI Foundation (Linux Foundation)). MCP was created by Anthropic, a US company, which donated it to the Agentic AI Foundation under the Linux Foundation. It is set up as a Series of LF Projects, LLC, with contributors from many companies. Source

Terms: Prompt injection · Open-source AI

Checked Oct 13, 2026 on the company’s own site: What is MCP? · LICENSE

Note: Announced Oct 6, 2026. The v0.1 specification and a reference implementation are planned for later in October.

A proposed standard for how people’s personal AI agents deal with companies: handling sign-in, protecting consumers and showing companies what agents do on their websites, APIs or own agents. Meta and Sierra introduced it with several partner companies, and it is open for anyone to implement.

Free to start: Open for anyone to implement.

Based in: 🇺🇸 United States, Menlo Park and San Francisco, California (Meta Platforms, Inc. and Sierra Technologies, Inc.). Introduced by two US companies: Meta (Menlo Park) and Sierra (San Francisco). Source

Checked Oct 13, 2026 on the company’s own site: Introducing Personal Agent Protocol

An open-source database for AI search that handles vector, full-text, regex and metadata search. You can run it locally in a few lines of code or use Chroma Cloud, its serverless hosted version.

Free to start: The Chroma Cloud Starter plan is $0 a month plus usage, and comes with $5 in free credits. Running it yourself is free. (as of Oct 13, 2026) Open source: Apache 2.0.

Based in: 🇺🇸 United States, San Francisco, California (Chroma Inc.). Source

Terms: Embeddings · RAG

Checked Oct 13, 2026 on the company’s own site: Chroma · Pricing · LICENSE

An open-source vector database built to scale to tens of billions of vectors. Milvus Lite installs with pip for quick starts; Zilliz, the company behind it, sells Zilliz Cloud as a fully managed version, including a bring-your-own-cloud option.

Free to start: Zilliz Cloud’s Free plan includes 5 GB of storage and up to 5 collections. Running Milvus yourself is free. Open source: Apache 2.0.

Based in: 🇺🇸 United States, Redwood City, California (Zilliz Inc.). Milvus is a graduated project of the LF AI & Data Foundation, contributed by Zilliz. Source

Terms: Embeddings · RAG

Checked Oct 13, 2026 on the company’s own site: Milvus · Zilliz Cloud pricing · LICENSE

A fully managed vector database: you store embeddings and Pinecone returns the closest matches quickly, which is the search step in most RAG apps. It also offers hosted embedding and reranking models and Pinecone Assistant for chatting with documents.

Free to start: The Starter plan is free: up to 2 GB of storage, on AWS in one U.S. region.

Based in: 🇺🇸 United States, San Francisco, California (Pinecone Systems, Inc). City from the mailing address in Pinecone’s privacy policy. Source

Terms: Embeddings · RAG

Checked Oct 13, 2026 on the company’s own site: Pinecone pricing

An open-source vector search engine. You can run it yourself, use the fully managed Qdrant Cloud, or run Qdrant Hybrid Cloud on your own infrastructure while Qdrant manages it.

Free to start: Qdrant Cloud has a Free tier, “free forever”, for testing and prototypes: a single node with 0.5 vCPU, 1 GB RAM and 4 GB disk. Open source: Apache 2.0.

Based in: 🇩🇪 Germany, Berlin (Qdrant Solutions GmbH). Source

Terms: Embeddings · RAG

Checked Oct 13, 2026 on the company’s own site: Pricing · LICENSE

Supabase is a hosted Postgres database with sign-in, file storage and APIs built in. Turning on the pgvector extension lets you store embeddings and run vector similarity search in the same database as the rest of your app’s data.

Free to start: The Free plan includes a 500 MB database and up to 2 active projects; free projects are paused after a week of inactivity. Open source: Supabase is Apache 2.0; pgvector uses the PostgreSQL license.

Based in: 🇺🇸 United States (Supabase). Supabase’s GitHub organization lists the United States; no city is stated. Contracting company in its terms: Supabase Pte. Ltd., Singapore (Supabase, Inc., registered in Delaware, for cloud-marketplace purchases). Source

Terms: Embeddings · RAG

Checked Oct 13, 2026 on the company’s own site: Pricing · pgvector guide · Supabase LICENSE · pgvector LICENSE

An open-source vector database that can combine meaning-based search with ordinary keyword search (hybrid search). You can run it on your own servers or use Weaviate Cloud, the company's managed service.

Free to start: Weaviate Cloud has an always-free plan: one cluster, up to 100,000 objects. Open source: The core database is BSD-3-Clause; some enterprise features sit under a separate paid license.

Based in: 🇳🇱 Netherlands, Amsterdam (Weaviate B.V.). Source

Terms: Embeddings · RAG

Checked Oct 13, 2026 on the company’s own site: Weaviate pricing · LICENSE

Note: Eligible projects are accepted case by case (criteria similar to Google's OSS-Fuzz).

A free, opt-in service from Anthropic that periodically scans critical open-source projects for security vulnerabilities with its strongest Claude models. Maintainers enroll by opening a pull request on GitHub with a project config and a Dockerfile; the scanner builds the project in an isolated VM, audits it without internet access, and emails reports with a reproducer and a proposed patch where available. Reports are model-generated and not reviewed by a person, so some may be wrong. Launched October 8, 2026, as part of the Anthropic Cyber Mission.

Free to start: Free for enrolled open-source projects. Open source: The enrollment repository and its check tools are Apache 2.0; the scanning service itself is run by Anthropic.

Based in: 🇺🇸 United States, San Francisco, California (Anthropic PBC). Source

Terms: Open-source AI

Checked Oct 13, 2026 on the company’s own site: OSS Scanner overview and FAQ · Anthropic research post · OSS Scanner on GitHub

Anthropic’s coding agent: it reads your codebase, edits files, runs commands and works with your development tools. You can use it in the terminal, in VS Code or JetBrains IDEs, in a desktop app, in the browser, or from Slack.

Free to start: Not listed.

Based in: 🇺🇸 United States, San Francisco, California (Anthropic PBC). Source

Terms: Context window

Checked Oct 13, 2026 on the company’s own site: Claude Code · Claude Code docs · LICENSE

A code editor and command-line tool built around AI agents: you hand off a task, and the agent plans it, writes the code and leaves the result for you to review. You can pick models from OpenAI, Anthropic, Google, xAI and Cursor itself, and paid plans add cloud agents and Bugbot code review.

Free to start: Not listed.

Based in: 🇺🇸 United States, San Francisco, California (Anysphere, Inc.). City from the contact address in Cursor’s terms. Source

Terms: Context window

Checked Oct 13, 2026 on the company’s own site: Cursor · Cursor pricing · Cursor download

Note: Windsurf has been renamed Devin Desktop, and windsurf.com now forwards to devin.ai. Cognition says plans and pricing stay the same. The Windsurf for JetBrains plugin is still available but is in maintenance mode; Cognition recommends Devin over ACP for JetBrains IDEs.

An AI code editor built on the Windsurf editor, now with an Agent Command Center for running several coding agents at once, both on your computer and in the cloud (Devin Cloud). It includes Tab completions, inline edits and Devin Local, the local agent that succeeds Cascade, and it can also run other agents through the Agent Client Protocol (ACP).

Free to start: The Free plan includes a light agent quota with limited models, plus unlimited Tab completions and inline edits. Pro is $20 a month, Max $200 a month, and Teams $80 a month plus $40 per full seat. (as of Oct 13, 2026)

Based in: 🇺🇸 United States, San Francisco, California (Cognition AI, Inc.). Source

Terms: Context window

Checked Oct 13, 2026 on the company’s own site: Devin Desktop · Plans and pricing · Windsurf is now Devin Desktop · Devin Desktop FAQ

GitHub's AI coding assistant, which works in VS Code, Visual Studio, JetBrains IDEs, Xcode and other editors, on github.com and in the terminal. It suggests code as you type, answers questions in chat, and has an agent you can assign an issue to that opens a pull request.

Free to start: Copilot Free includes 2,000 inline suggestions a month and limited chat and agent use. GitHub may use Free, Pro and Pro+ interactions to train its models unless you opt out.

Based in: 🇺🇸 United States, San Francisco, California (GitHub, Inc.). GitHub’s terms state that Microsoft is an affiliate of GitHub. Source

Terms: Prompt injection

Checked Oct 13, 2026 on the company’s own site: Copilot plans and FAQ

xAI’s coding agent and terminal app, now open source. It can run interactively, headless in scripts and CI, or inside editors through the Agent Client Protocol (ACP), and it can run fully local, pointed at your own model server.

Free to start: The code is free; using xAI’s models costs extra. Open source: First-party code is Apache 2.0.

Based in: 🇺🇸 United States, Austin, Texas (SpaceXAI LLC). SpaceXAI LLC is a Nevada company with its registered offices in Austin, Texas. Source

Terms: Grok · Open-source AI

Checked Oct 13, 2026 on the company’s own site: Grok Build is now open source · README on GitHub

IBM’s AI development partner for your IDE and command line (Bob Shell), which can run agents and subagents in your codebase. Premium packages focus on enterprise modernization, such as upgrading Java apps and mainframe and IBM i development, and Bobalytics reports on usage and cost.

Free to start: A free trial is offered; the price after the trial isn’t shown on the product page.

Based in: 🇺🇸 United States, Armonk, New York (IBM). Source

Checked Oct 13, 2026 on the company’s own site: IBM Bob

An AI coding tool from AWS, available as an IDE and as a command-line tool (Kiro CLI). It turns your prompts into requirements, designs and a task list (spec-driven development), then builds them with agents that can run in parallel. By default an Auto mode mixes several models, or you can pick Claude, GPT or open-weight models yourself.

Free to start: Kiro Free is $0 a month with 50 credits and access to open-weight models and Claude Sonnet 4.5, with limits. Paid plans run from Pro at $20 to Power at $200 per user a month. (as of Oct 13, 2026)

Based in: 🇺🇸 United States, Seattle, Washington (Amazon Web Services, Inc.). Kiro’s site says it is built and operated by AWS. Source

Terms: Context window · Prompt injection

Checked Oct 13, 2026 on the company’s own site: Kiro · Kiro pricing · Kiro license

Meta's coding agent for the terminal and CI. Run it in a project and it plans, edits and runs commands to finish a task, with approvals and an OS sandbox on from the first run; several agents can work in parallel with reviewers in the background. It runs Meta's Muse models (Muse Spark by default; Muse Wonder Full only on the higher plans).

Free to start: Four monthly plans (Everyday, High, Power, Maximum) or pay-as-you-go API billing. Subscriptions default to Contributor mode (Meta may train on your content); you can turn it off. No free tier listed.

Based in: 🇺🇸 United States, Menlo Park, California (Meta Platforms, Inc.). Source

Checked Oct 13, 2026 on the company’s own site: Muse Code docs · Muse Code subscriptions

OpenAI’s coding agent. It works in ChatGPT, in the cloud, as an IDE extension, as a desktop app and as the Codex CLI in your terminal.

Free to start: Codex is included in ChatGPT plans: Plus ($20 a month), Pro ($100 a month), Business and Enterprise. It can also be used with an API key. (as of Oct 13, 2026) Open source: The Codex CLI is open source under Apache 2.0; the cloud service is not.

Based in: 🇺🇸 United States, San Francisco, California (OpenAI OpCo, LLC). Source

Terms: Context window

Checked Oct 13, 2026 on the company’s own site: Codex · Codex docs · Codex CLI LICENSE

A fast, open-source, multiplayer code editor with built-in AI: agentic editing, inline edits and edit prediction as you type. It can use Zed-hosted models, your own API keys, local models, or external agents such as Claude Agent and Codex CLI. It runs on macOS, Linux and Windows.

Free to start: The Personal plan is free forever, with unlimited use with your own API keys or external agents. Pro is $10 a month with $5 of tokens included; Business is $30 per seat a month. (as of Oct 13, 2026) Open source: Zed’s source code is on GitHub, mainly under GPL-3.0-or-later with some Apache-2.0 components.

Based in: 🇺🇸 United States, Denver, Colorado (Zed Industries, Inc.). City from the mailing address in Zed’s DMCA policy. Source

Terms: Open-source AI · Context window

Checked Oct 13, 2026 on the company’s own site: Zed · Zed pricing · Zed on GitHub

A fully managed Azure API for real-time voice agents: you send audio and get back spoken replies, optional avatar visuals and action triggers, without wiring speech recognition, a language model and text-to-speech together yourself.

Free to start: The overview page doesn’t list a free tier.

Based in: 🇺🇸 United States, Redmond, Washington (Microsoft Corporation). Source

Terms: Latency · Cloud computing

Checked Oct 13, 2026 on the company’s own site: What is the Voice Live API?

An open-source framework for real-time voice, video and text agents in Python or Node.js, with plugins for most major AI providers. LiveKit Cloud hosts and scales the agents and can connect them to phone lines.

Free to start: The Build plan is $0 a month with no credit card, and includes inference credits, 1,000 free agent session minutes a month and one free phone number. (as of Oct 13, 2026) Open source: The Agents framework is Apache 2.0.

Based in: 🇺🇸 United States, San Francisco, California (LiveKit Incorporated). Source

Terms: Latency · Open-source AI

Checked Oct 13, 2026 on the company’s own site: Agents framework docs · Pricing · LICENSE

Note: MAI-Transcribe-2-Streaming is in public preview in Azure (no service-level agreement; not recommended for production).

Microsoft AI’s own speech models: MAI-Transcribe-2-Streaming turns speech into text in real time in 60 languages, and MAI-Voice-2.1 and its faster Flash version turn text into speech in 23 languages.

Free to start: Pay per use: Transcribe is $0.54 an hour of audio (introductory price through the end of the year); Voice-2.1 is $22 and Flash $15 per million characters. (as of Oct 13, 2026)

Based in: 🇺🇸 United States, Redmond, Washington (Microsoft Corporation). Microsoft AI is part of Microsoft; microsoft.ai uses Microsoft’s privacy statement and terms. Source

Terms: Latency

Checked Oct 13, 2026 on the company’s own site: MAI-Transcribe-2-Streaming announcement · MAI-Voice-2.1 · Microsoft Learn: MAI-Transcribe-2-Streaming

An Indian AI platform with APIs for speech-to-text in 12 Indic languages, text-to-speech in 11, translation across 23 languages, and turning PDFs and images into structured text. All APIs draw from one prepaid credit balance.

Free to start: You start with free credits (the amount isn’t stated), then pay as you go; speech-to-text is ₹30 an hour.

Based in: 🇮🇳 India, Bengaluru (Axonwise Private Limited (Sarvam AI)). Sarvam AI is the trading name of Axonwise Private Limited, incorporated in India. Source

Checked Oct 13, 2026 on the company’s own site: Sarvam AI · API pricing

Lucy is Decart’s realtime AI video-editing model family. Lucy 2.5 edits a live video stream with text prompts, reference images, or both — add, remove or replace objects, swap characters, change backgrounds and restyle scenes — through Decart’s cloud API and SDKs (JavaScript, Python, Swift, Android). Related Lucy models cover virtual try-on and restyle. Pricing is pay-as-you-go (for example Lucy 2.5 realtime at $0.02/sec at 720p). (as of Oct 13, 2026)

Free to start: New accounts receive free credits to test the API; then pay-as-you-go with no subscription or minimum spend.

Based in: 🇺🇸 United States, Wilmington, Delaware (Decart.AI, Inc.). Source

Terms: Foundation model · Inference · Cloud computing

Checked Oct 13, 2026 on the company’s own site: Lucy product page · Lucy 2.5 Realtime docs · API overview · Pricing

Note: Oasis 3 is labeled Preview on Decart’s docs.

Oasis 3 Preview is Decart’s realtime, promptable world model for physical AI. You set a scene with text, stream driving actions (throttle and steering), and receive generated multi-view camera frames over a gRPC session — useful as a learned driving simulator for reinforcement learning. A browser demo is at oasis3-preview.decart.ai; builders use the Python package decart-oasis. Pay-as-you-go pricing lists Oasis 3 Preview at $0.02 per second of realtime generation. (as of Oct 13, 2026)

Free to start: Same Decart platform credits as other models; then pay-as-you-go.

Based in: 🇺🇸 United States, Wilmington, Delaware (Decart.AI, Inc.). Source

Terms: Foundation model · Inference · Cloud computing

Checked Oct 13, 2026 on the company’s own site: Oasis product page · Oasis 3 Preview Realtime docs · Pricing

Black Forest Labs makes the FLUX image and video models. The newest, FLUX 3 Image and FLUX 3 Video, are available through its pay-as-you-go API, and some FLUX models are released as open weights you can download and run yourself.

Free to start: Pay as you go with no subscription or seat fees. FLUX 3 Image lists at $0.048 per 1K image. (as of Oct 13, 2026) Open source: Some FLUX models are published as open weights; licenses vary by model (for example, FLUX.2-small-decoder is Apache 2.0).

Based in: 🇩🇪 Germany, Freiburg im Breisgau (BFL GmbH). Registered address of BFL GmbH in Germany; Black Forest Labs Inc. in San Francisco handles users outside Europe (privacy policy). Source

Terms: Open-weight model

Checked Oct 13, 2026 on the company’s own site: Black Forest Labs · Pricing · FLUX.2-small-decoder on Hugging Face

Open video models that make 5-second clips with matching 44 kHz sound, including lip-sync, from a text prompt or a starting image. There is a Lite version (3B parameters) and a Pro version (29B), plus an add-on that upscales to Full HD.

Free to start: Free to download. Open source: MIT license on GitHub.

Based in: 🇷🇺 Russia (Kandinsky Lab). Kandinsky Lab’s website is run under Russian personal-data law (Federal Law No. 152-FZ). Source

Terms: Open-weight model · GPU

Checked Oct 13, 2026 on the company’s own site: Kandinsky 6 on GitHub

Lightricks makes LTX, a family of open video and audio generation models; LTX-2.5 is the newest. You can download the weights and run or fine-tune them on your own hardware, or use the LTX API. Lightricks also offers LTX Desktop and a trainer for custom LoRA add-ons.

Free to start: The open weights are free for companies under $10 million in annual recurring revenue; the API is paid. (as of Oct 13, 2026) Open source: Weights are on Lightricks’ Hugging Face page under its own LTX-2.x Community License, not a standard open-source license.

Based in: 🇮🇱 Israel, Jerusalem (Lightricks Ltd.). Jerusalem is the first office on Lightricks’ contact page and the mailing address in the LTX privacy policy. Source

Terms: Open-weight model · Fine-tuning

Checked Oct 13, 2026 on the company’s own site: LTX · LTX-2.5 on Hugging Face · LTX-2.x license

Note: Developers use Nano Banana 2.1 through the Gemini API and Google AI Studio, so it is listed as part of the Gemini API.

Google’s image generation and editing model, based on Gemini 3.6 Flash. In the Gemini API its model id is gemini-nano-banana-2.1; it can mix up to 14 reference images, render text, and make images at 1K, 2K or 4K. Google also uses it in the Gemini app, Flow and Stitch.

Free to start: Google’s pricing page lists no free tier for this model. Paid tier: about $0.034 per 1K image ($30 per 1 million image output tokens). (as of Oct 13, 2026)

Based in: 🇺🇸 United States, Mountain View, California (Google LLC). Google LLC is organized under Delaware law; its address is in Mountain View, California. Source

Checked Oct 13, 2026 on the company’s own site: Model card · Image generation docs · Gemini API pricing

Note: Odyssey-3 is a research preview; API access is by request.

Odyssey builds world models: AI that generates interactive, video-like environments and predicts how they change as a person or agent acts. Odyssey-3, launched October 8, 2026, is its most powerful so far and is in research preview; Odyssey says developers use it both to simulate environments and to train control policies for robots, humanoids and vehicles, and invites physical AI developers to get in touch. The Odyssey API, with JavaScript and Python SDKs, currently offers Odyssey-2 Pro for interactive streams, viewable streams and batch simulations.

Free to start: Odyssey's pages do not list prices or a free tier.

Based in: 🇺🇸 United States, Menlo Park, California (Odyssey Systems, Inc.). Source

Terms: Foundation model · Inference

Checked Oct 13, 2026 on the company’s own site: Meet Odyssey-3 · Odyssey API docs

Qwen-Image-2.1 is the Qwen team’s open text-to-image and image-editing model, with a 7B visual generation component. It can make transparent (RGBA) images, edit with up to 10 reference images and render text well. A Turbo checkpoint does generation and editing in 8 denoising steps; hosted Pro and Turbo APIs are on Alibaba Cloud Model Studio.

Free to start: Weights are free to download; the hosted APIs are paid. Open source: Published under the Qwen Research License, which is not a standard open-source license; read its terms before commercial use.

Based in: 🇨🇳 China, Hangzhou (Alibaba Cloud (Qwen team)). Qwen models are developed by the Qwen team at Alibaba Cloud. Qwen’s GitHub organization lists China; city from Alibaba’s GitHub organization (Hangzhou, China). Source

Terms: Open-weight model

Checked Oct 13, 2026 on the company’s own site: Qwen-Image-2.1 GitHub · Qwen-Image-2.1-Turbo model card

Stability AI offers image, audio and 3D generation and editing through its Developer Platform API, paid in credits (1 credit = $0.01), with models such as Stable Image Ultra, Stable Diffusion 3.5 and Stable Audio 3.0. You can also download many of its models and run them yourself under its Community License. (as of Oct 13, 2026)

Free to start: New API accounts start with 25 free credits (1 credit = $0.01). The Community License for self-hosting is free for individuals and organizations with less than $1M in annual revenue. (as of Oct 13, 2026) Open source: The Community License is free for researchers, developers, small businesses and creators with less than $1M in annual revenue; larger companies need an Enterprise license.

Based in: 🇬🇧 United Kingdom, London (Stability AI Ltd). Incorporated in England and Wales. Outside the UK, EU and Switzerland, services are provided by Stability AI US Services Corporation, a Delaware corporation. Source

Terms: Open-weight model · GPU

Checked Oct 13, 2026 on the company’s own site: Stability AI · API pricing · Self-hosted license

A desktop app for finding, downloading and running open models on your computer, with a chat window and a programmable API. Its newer Bionic agent can also edit documents and handle coding tasks, using local models or optional paid cloud models.

Free to start: The Free plan runs local models. Bionic+ ($20 a month) and Pro ($100) add hosted open models. (as of Oct 13, 2026) Open source: The app is offered under LM Studio's terms of use; its lms command-line tool is open source (MIT).

Based in: 🇺🇸 United States (Element Labs, Inc.). Element Labs, Inc. is a Delaware corporation with its registered address in Wilmington, Delaware; no headquarters city is stated. Source

Terms: Open-weight model · GPU

Checked Oct 13, 2026 on the company’s own site: LM Studio pricing · LM Studio download · lms LICENSE (MIT)

Open-source software that stores and reuses the KV cache (the model’s saved work on a prompt) across model servers such as vLLM, to cut time to first token and raise throughput, especially for long, multi-turn or document-heavy requests.

Free to start: Free to use. Open source: Apache 2.0.

Based in: Not listed (LMCache project). LMCache calls itself an independent open-source project that joined the PyTorch Foundation and is supported in part by Tensormesh. No location is stated. Source

Terms: Inference · GPU

Checked Oct 13, 2026 on the company’s own site: GitHub · Documentation

A free, open-source tool for downloading and running open models on your own computer, with a REST API on your machine that your apps can call. It also offers optional cloud models, paid with usage credits, for models too big to run at home.

Free to start: Not listed. Open source: Yes, MIT license.

Based in: Not listed (Ollama Inc.). Ollama’s terms name Ollama Inc. and use California law, but its terms, privacy policy and GitHub organization give no headquarters, address or location.

Terms: Open-weight model · GPU

Checked Oct 13, 2026 on the company’s own site: Ollama pricing · Ollama download · LICENSE (MIT)

An open-source engine for serving language models on your own GPUs or other hardware, with a drop-in OpenAI-compatible API. It is built for high throughput, with techniques such as PagedAttention and continuous batching.

Free to start: Free to use; you pay only for your own hardware. Open source: Apache 2.0.

Based in: 🇺🇸 United States (vLLM project). vLLM was first developed in the Sky Computing Lab at UC Berkeley; it is now a community project under the PyTorch Foundation with contributors from many companies. No company is named. Source

Terms: Inference · GPU · Open-weight model

Checked Oct 13, 2026 on the company’s own site: vLLM · Documentation · GitHub

Microsoft's built-in framework for running AI models locally in Windows apps, based on ONNX Runtime. It runs models on the PC's NPU, GPU or CPU, with hardware-specific accelerators that Windows installs and keeps up to date, and accepts models from PyTorch, TensorFlow, scikit-learn and other frameworks. Microsoft announced llama.cpp support in Windows ML on October 7, 2026.

Free to start: Microsoft's overview page does not state a price.

Based in: 🇺🇸 United States, Redmond, Washington (Microsoft Corporation). Source

Terms: Inference · Edge computing

Checked Oct 13, 2026 on the company’s own site: What is Windows ML? (Microsoft Learn)