Model Providers

Anthropic's frontier AI assistant

Anthropic's AI assistant known for strong reasoning, nuanced writing, and extended context up to 200K tokens. Available in Opus (most capable), Sonnet (balanced), and Haiku (fast) tiers. Features web search, deep research, file analysis, code execution, artifacts, and Projects for organized workflows. Claude Code provides terminal-based agentic coding. API supports tool use, batch processing, and prompt caching. Available via claude.ai, mobile apps, and developer API.

OpenAI's conversational AI

OpenAI's flagship conversational AI platform with 400M+ weekly active users, powered by GPT-5, GPT-4o, and reasoning models (o3, o4-mini). Handles text, code, image analysis, voice conversations, and web search in one interface. Features Advanced Voice Mode, DALL-E image generation, file analysis, Custom GPTs, memory for personalization, and Deep Research for multi-step investigation. Available on web, iOS, Android, macOS, and Windows with free and paid tiers (Plus, Pro, Team, Enterprise).

Ultra-fast LPU inference for open-weight models

Groq is an AI inference provider built around custom Language Processing Unit (LPU) hardware for low-latency open-weight model serving. GroqCloud exposes an OpenAI-compatible API for Llama, GPT-OSS, Qwen, Kimi, DeepSeek, Gemma, Whisper, and related models, with high token-throughput positioning, model-specific rate limits, and usage-based pricing.

High-throughput LLM serving engine

vLLM is an Apache-2.0 LLM inference and serving engine focused on high-throughput self-hosted model APIs. It combines PagedAttention, continuous batching, prefix caching, quantization options, OpenAI-compatible serving, structured outputs, metrics, Docker/Kubernetes deployment guidance and integrations with agent and LLM frameworks.

Direct API access to Claude models with tool use

Official API for Claude models including Opus, Sonnet, and Haiku. Supports tool use, computer use, extended thinking, and batch processing. Features prompt caching, streaming, and Messages API with vision capabilities. Known for strong performance on complex reasoning tasks, nuanced instruction following, and safety-conscious design that makes it trusted for enterprise and production applications.

Low-cost reasoning and coding models with V4 API options

Chinese AI research lab developing low-cost reasoning and coding models with a fast-moving hosted API surface. Current API docs foreground DeepSeek V4 Flash and V4 Pro with thinking/non-thinking modes, OpenAI- and Anthropic-compatible endpoints, 1M context, JSON output, tool calls, and chat-prefix/FIM options. Free chat assistant and API access are available, while open-weight/self-hosting claims should be checked against current model repositories.

The GitHub of ML — model hub, datasets, and inference

Open-source platform for building, sharing, and deploying machine learning models and datasets. Hosts 500k+ models, 100k+ datasets, and Spaces for interactive demos. The central hub of the open-source AI ecosystem, providing model discovery, inference APIs, and collaborative tools that make it the GitHub of machine learning for researchers and developers worldwide.

Open-weight inference, fine-tuning, and GPU-cloud platform

Together AI is a cloud platform for running, fine-tuning, batching, and training open-weight AI models. It supports serverless inference, dedicated endpoints, LoRA and full fine-tuning, GPU clusters, code-execution sandboxes, and async batch jobs up to 30B tokens per model. Current docs list fast-moving families such as Qwen, Kimi, GLM, GPT-OSS, DeepSeek, Llama, MiniMax, and Mistral.

Open-weight frontier lab with Vibe, Studio, and a European AI cloud

Mistral AI is the French frontier-AI lab behind open-weight and commercial models, Mistral Vibe (formerly Le Chat), Studio, agentic coding, and the European-hosted Mistral Compute cloud. It gives developers an EU-centered alternative across API, assistant, agent-platform, and sovereign-infrastructure workflows, with model-specific licensing and pricing that should be checked per workload.

Run LLMs locally with one command

Tool for running large language models locally on your machine with a simple CLI interface. Download and run Llama 3, Mistral, Gemma, Phi, Code Llama, and dozens of other open-source models with a single command. Features model management, GPU acceleration (NVIDIA/AMD/Apple Silicon), OpenAI-compatible API server, Modelfile for customization, and multi-model switching. Ideal for offline AI development, privacy-sensitive use cases, and local testing. 120K+ GitHub stars.

Self-hosted AI platform with ChatGPT-like interface for local and cloud LLMs.

Extensible, self-hosted AI platform with 290M+ Docker pulls and 124K+ GitHub stars. Supports Ollama, OpenAI-compatible APIs, and any Chat Completions backend. Features built-in RAG, multi-user RBAC, voice/video calls, Python function workspace, model builder, and web browsing. Runs entirely offline with enterprise features including SSO and audit logging.

API for GPT-5 family models, multimodal generation, embeddings, and agents

Official API platform for the GPT-5 family, reasoning/thinking variants, multimodal generation, speech, embeddings, and agent workflows. Features the Responses API, tool calling, structured outputs, batch processing, fine-tuning, and SDK support. It remains one of the most widely integrated AI APIs in the developer ecosystem, but model choice, retention settings, rate limits, and pricing tiers require active governance in production.

Run and deploy ML models via API with simple pricing

Cloud platform that lets developers run thousands of open-source and proprietary public ML models through a simple API without managing GPUs or infrastructure. Replicate hosts models for image, text, audio, and video, supports Cog-based custom deployments and private models, and now operates as a distinct Cloudflare brand with pay-by-time or input/output pricing depending on the model.

All-in-one self-hosted AI app with RAG, agents, and multi-user support

AnythingLLM is an open-source, privacy-first AI application that turns any document into an interactive knowledge base. It bundles document ingestion, vector storage (built-in LanceDB), RAG pipelines, AI agents, and multi-user access into a single deployable package. Supports 30+ LLM providers including OpenAI, Anthropic, Ollama, and local models. With 62K+ GitHub stars and MIT license, it runs as a desktop app or Docker container with zero configuration required out of the box.

Google's multimodal AI model

Google's multimodal AI platform with models from Flash (fast) to Pro and Ultra (most capable). Natively processes text, images, audio, video, and code with up to 2M token context windows. Integrated across Google Search, Workspace, Android, and Chrome. Features Deep Research for multi-step investigation, Gems for custom personas, and NotebookLM for document analysis. Available free via web/mobile apps and as a paid API through Google AI Studio and Vertex AI.

Unified API gateway for 200+ AI models

Unified API gateway providing access to 500+ AI models from leading providers through a single OpenAI-compatible interface. OpenRouter eliminates the need to manage separate keys, billing, and integrations across providers like OpenAI, Anthropic, Google, and Meta, with built-in plugins for web search, PDF processing, automatic fallback routing, and per-model cost tracking.

Run local LLMs with an intuitive desktop GUI and OpenAI-compatible API server.

Free desktop application by Element Labs for discovering, downloading, and running open-source LLMs locally. Features a curated Hugging Face model browser, side-by-side model comparison, parameter tuning, and an OpenAI-compatible API server on localhost:1234. Powered by llama.cpp with Metal acceleration for Apple Silicon.

AMD's open-source local LLM server with GPU and NPU acceleration

Lemonade is AMD's open-source local AI serving platform for LLMs, image generation, speech recognition, and text-to-speech on your own hardware. Built in lightweight C++, it can detect CPU, GPU, and NPU backends and is extra optimized for Ryzen AI, Radeon, and Strix Halo PCs. Lemonade exposes OpenAI, Anthropic, and Ollama-compatible APIs, ships with a desktop model manager, and supports source-confirmed GGUF, FLM, and ONNX models across Windows, Linux, macOS, and Docker.

Run frontier AI models across a cluster of everyday devices

exo turns multiple local machines into a unified AI compute cluster for models that exceed a single device's memory. It automatically discovers devices, uses topology-aware auto parallelism to split work across available resources, and supports RDMA over Thunderbolt 5 for co-located clusters or standard networking for looser setups. The project exposes OpenAI Chat Completions, Claude Messages, OpenAI Responses, and Ollama-compatible APIs plus a dashboard for cluster management.

Run LLMs as a single portable executable file

Llamafile by Mozilla packages a complete LLM — model weights, inference engine, and OpenAI-compatible API server — into a single executable file that runs on Mac, Windows, Linux, FreeBSD, and OpenBSD with no installation. Built on llama.cpp and Cosmopolitan Libc for cross-platform portability, it delivers GPU-accelerated inference when available and falls back to optimized CPU execution. Supports GGUF models with a built-in web chat UI and REST API for integration.

Managed foundation models on AWS

Fully managed AWS service providing enterprise access to 100+ foundation models from Anthropic, Meta, Mistral, Cohere, and Amazon's Nova family through a single API. Bedrock includes AgentCore for agent runtime, Knowledge Bases for RAG, Guardrails blocking 88% of harmful content, plus Model Distillation, Prompt Caching, and Intelligent Prompt Routing for cost optimization.

Multi-model coding subscription by Alibaba Cloud

Alibaba Cloud Coding Plan is a flat-rate subscription that bundles access to multiple AI coding models — Qwen3.5-Plus, Qwen3-Coder-Next, GLM-4.7, and Kimi-K2.5 — under a single monthly fee, replacing unpredictable pay-per-token API pricing. It integrates with popular AI coding tools including Cline, Claude Code, and OpenCode, giving developers and small teams enterprise-grade Chinese AI models at dramatically lower price points than Western competitors.

OpenAI models with Azure enterprise security

Microsoft's enterprise gateway to OpenAI models — GPT-5-family models, reasoning variants, real-time/audio options, and Azure-hosted governance — with Azure security, compliance, and global infrastructure. Azure OpenAI is designed for teams that need OpenAI capability inside existing Microsoft cloud controls.

ML inference platform for production AI models

Baseten is the inference platform for deploying AI models at scale with dedicated and pre-optimized model APIs and performance-optimized infrastructure. Specializes in image generation, transcription, text-to-speech, LLM serving, embeddings, and compound AI workloads. Delivers 75% latency reduction with 415ms cold starts and 3000+ concurrent scaling. Available as managed cloud or self-hosted, trusted by Cursor, Notion, Descript, and Sourcegraph for production inference.

ML model serving and deployment framework

BentoML is an open-source framework with 7K+ GitHub stars for packaging, deploying, and serving ML models as production-ready APIs. Bundles models, preprocessing, and serving logic into portable Bento archives with auto-generated REST/gRPC endpoints. Features adaptive batching for throughput optimization, GPU scheduling, multi-model inference pipelines, and containerization. Supports all major ML frameworks including PyTorch, TensorFlow, scikit-learn, and Hugging Face Transformers.

On-device AI inference engine for mobile and wearable applications

Cactus is a YC-backed low-latency AI engine for mobile and wearable devices that runs LLMs, transcription, embedding, and TTS models locally. It achieves 16-20 tok/sec on older devices and 70+ tok/sec on flagships with ARM SIMD kernels optimized for Snapdragon, Apple, and MediaTek processors. Supports Qwen, Gemma, Llama, DeepSeek with Flutter, React Native, and Kotlin SDKs.

Wafer-scale inference at thousands of tokens per second

Cerebras Inference serves open-weight LLMs like Llama, Qwen, and GPT-OSS on wafer-scale CS-3 chips through an OpenAI-compatible API, benchmarking between 1,800 and 2,600 output tokens per second on Llama 3.1 8B and several hundred on 70B models. A free tier offers one million tokens per day with no credit card, while paid pay-per-token pricing starts at $0.04 per million tokens for the smaller Llama models.

One desktop app for every LLM — private, cross-platform, extensible

Chatbox is a cross-platform desktop AI client supporting OpenAI, Claude, Gemini, DeepSeek, and local models via Ollama. All chat data stays on-device, making it ideal for privacy-conscious developers. Features include document analysis, code assistance with syntax highlighting, image generation, web search, and a local knowledge base for private Q&A. Available on Windows, macOS, Linux, Android, iOS, and web.

Desktop AI productivity studio with 300+ assistants

Cherry Studio is an open-source desktop AI application with 42K+ GitHub stars providing unified access to 50+ LLM providers through a single Electron-based interface. Features 300+ pre-built AI assistants for different tasks, multi-model conversations, knowledge base with RAG support, real-time translation, image generation, and Mermaid diagram rendering. Supports topic-based chat management, message branching, and custom assistant creation. Available on macOS, Windows, and Linux.

Enterprise AI for text generation, search, and RAG

Enterprise-focused AI platform from former Google Brain researchers offering Command (chat), Embed (semantic search), and Rerank (result ordering) model families. Cohere Embed v4 supports 100+ languages with multimodal text/image inputs, North agent workspace processes documents and spreadsheets, and Model Vault enables secure VPC or on-premises deployment for regulated enterprises.

Cost-effective AI inference platform with 86+ models from $0.02/M tokens

DeepInfra is an AI inference platform offering 86+ LLM models with pricing starting at $0.02 per million tokens. Backed by $20.6M in funding including an $18M Series A from Felicis Ventures, it provides OpenAI-compatible endpoints for models including DeepSeek, Llama, and Mistral with pay-as-you-go pricing.

Voice AI APIs for speech-to-text and text-to-speech

Deepgram is a voice AI infrastructure platform providing low-latency speech-to-text, text-to-speech, and conversational AI APIs. Its Nova-3 model delivers industry-leading accuracy for real-time transcription with streaming support, interruption handling, and multi-language capabilities. Used by 1,300+ organizations including Twilio and Vapi, Deepgram powers voice features in applications ranging from call centers to AI agent voice interfaces.

Lifelike AI voice generation, cloning, and voice agents

ElevenLabs is an AI voice platform for text-to-speech, voice cloning, and conversational AI agents, built on models like Multilingual v2 and the low-latency Flash v2.5 and Turbo v2.5. Developers call its API to generate lifelike narration, clone voices from short audio samples, dub content across 30+ languages, add sound effects, and deploy real-time voice agents for customer service, IVR, and interactive apps, with SDKs for Python, JavaScript, and more.

PyTorch on-device AI for mobile and edge devices

ExecuTorch is PyTorch's official solution for deploying AI models on mobile, embedded, and edge devices. It features a 50KB base runtime, 12+ hardware backends including Apple CoreML, Qualcomm QNN, ARM, and Vulkan, and native PyTorch export without format conversions. Powers Meta's on-device AI across Instagram, WhatsApp, Quest 3, and Ray-Ban Smart Glasses, supporting LLMs, vision, speech, and multimodal models.

Production-grade inference with serverless and on-demand GPUs

High-performance inference platform serving open-source and custom AI models at global scale, processing 13+ trillion tokens daily at ~180K requests per second. Fireworks AI delivers 1,000+ tokens per second on large models through quantization-aware tuning and adaptive speculation, with serverless, fine-tuning, and dedicated GPU options across text, image, and audio modalities.

Google Cloud ML platform with Gemini and custom models

Google Cloud's end-to-end ML platform with Gemini models, Model Garden featuring 150+ models, AutoML, and custom training pipelines. Features Vertex AI Search, Conversation, and Agent Builder for enterprise AI applications. The comprehensive platform for organizations building production AI systems at scale within the Google Cloud ecosystem, with enterprise governance and compliance built in.

Offline-first AI assistant for local inference

Jan is an open-source offline-first AI assistant with 25K+ GitHub stars running LLMs locally without sending data externally. Features a ChatGPT-like interface with one-click model downloads from Hugging Face, conversation management, customizable prompts, and an OpenAI-compatible local API server. Supports GGUF models via llama.cpp with GPU acceleration on NVIDIA and Apple Silicon. Built with Electron for macOS, Windows, and Linux with full data privacy.

Heterogeneous CPU-GPU inference and SFT for large MoE models

Open-source framework for running and fine-tuning large Mixture-of-Experts models with heterogeneous CPU-GPU execution, optimized kernels, limited VRAM and SGLang or LLaMA-Factory integrations.

Budget coding subscription by Moonshot AI

Kimi Coding Plan covers Moonshot AI's consumer subscription tiers and API pricing for accessing Kimi's AI coding capabilities, powered by the Kimi K2.5 model that scores 76.8% on SWE-Bench Verified. Includes a free Adagio tier with unlimited basic conversations, paid Andante and Presto tiers with higher K2.5 quotas, and pay-as-you-go platform API pricing for integrating Kimi into custom workflows.

Open-source toolkit for quantizing, deploying, and serving LLMs and vision-language models

LMDeploy is an Apache-2.0 toolkit for self-hosting LLM and vision-language model inference with TurboMind and PyTorch engines. It combines continuous batching, blocked KV cache, tensor parallelism, AWQ and KV-cache quantization with OpenAI-compatible APIs, multi-GPU distribution, offline pipelines, and production metrics.

Free, open-source local AI inference engine

LocalAI is an open-source local AI inference engine with 44K+ GitHub stars that runs LLMs, image generation, audio transcription, and embeddings entirely on consumer hardware without GPU requirements. Provides an OpenAI API-compatible REST endpoint as a drop-in replacement, supporting 1000+ models including LLaMA, Mistral, and Phi families. Features include text-to-speech, speech-to-text, function calling, constrained grammar output, and multi-modal capabilities all running locally.

Run LLMs natively on any device with ML compilation

MLC LLM is an open-source engine for deploying large language models natively across diverse platforms using machine learning compilation. It runs models on NVIDIA/AMD GPUs, Apple Silicon, mobile devices, and browsers via WebGPU without cloud dependencies. Features include OpenAI-compatible API, quantization support, and optimized backends for CUDA, Metal, Vulkan, and WebAssembly.

Multi-model coding subscription by Minimax

The MiniMax Coding Plan is a subscription service providing developers with flat-rate access to MiniMax's AI models for coding tasks, with three monthly tiers designed to offer dramatically more value than per-token pricing from Anthropic or OpenAI. MiniMax positions its coding plans as delivering capacity equivalent to Claude Code Max at a fraction of the cost, making high-performance AI coding assistance accessible to a broader range of developers.

Cross-platform on-device AI model runtime

Nexa SDK enables running frontier LLMs and multimodal models locally across PC, mobile, IoT, and wearables with automatic hardware acceleration for GPU, NPU, and CPU. It supports Qwen, Gemma, Llama, DeepSeek models with Python/C++ desktop SDKs, Android/iOS mobile SDKs, and Docker for edge deployment. Includes an OpenAI-compatible API server with chat and function calling support.

Cross-platform high-performance ML inference engine

ONNX Runtime is Microsoft's open-source inference engine for machine learning models in ONNX format. It delivers cross-platform acceleration via execution providers for NVIDIA CUDA, TensorRT, DirectML, CoreML, OpenVINO, and more. Supports training acceleration, quantization, and GenAI workloads. Used in production across Windows, Azure, Office 365, and thousands of applications with pip-installable Python and native C++/C#/Java APIs.

OpenAI API management gateway for 100+ LLM providers

One API is a self-hosted LLM API gateway that provides a unified OpenAI-compatible interface for managing multiple model providers including OpenAI, Azure, Anthropic, Google, and dozens of Chinese providers. It handles load balancing, quota management, rate limiting, token tracking, and channel-based routing through a web dashboard. Widely adopted in the Chinese developer ecosystem with over 18,000 GitHub stars.

Intel's open-source AI inference optimization toolkit

OpenVINO is Intel's open-source toolkit for optimizing and deploying AI inference across CPUs, GPUs, and NPUs. It supports models from PyTorch, TensorFlow, ONNX, and TFLite, providing graph optimizations, quantization, and hardware-specific acceleration. The toolkit includes a GenAI API for LLM deployment and runs on Intel, ARM, and x86 platforms for edge, desktop, and cloud inference workloads.

Container-native local AI model serving with Podman

RamaLama is an open-source tool that containerizes AI model inference using Podman or Docker, eliminating host system configuration complexity. It auto-detects GPUs (NVIDIA, AMD, Intel, Apple Silicon), pulls models from HuggingFace, Ollama, and OCI registries, and runs them in isolated rootless containers with read-only mounts and network isolation. Developed under the Containers project (Red Hat ecosystem), it brings familiar container workflows to local LLM serving.