AI Foundation Models & LLM Specifications
Cataloged specifications and pricing snapshots per 1M tokens, prompt caching rates, and tool-calling support. Discover which models best power your MCP tools and agent loops.
610
Foundation Models
467
MCP Tool-Call Ready
350
Reasoning & Thinking
317
Open Weights (HuggingFace)
Showing 577-610 of 610 models
Efficient Mistral-NVIDIA open model for multilingual chat and local deployment
Open Gemma instruction model for efficient chat and self-hosted deployments
Mistral code model for completions, refactors, and developer IDE workflows
Open Mistral code model for fill-in-the-middle and 80+ programming languages
Open 7B Mistral instruction model with function calling
Most capable Vision model for complex reasoning, detailed media analysis, and structured output over a 1M-token context window.
Balanced multimodal model pairing a 1M-token context window with deeper reasoning for analysis, content creation, and tool use across text, image, audio, video, and PDF inputs.
Fast, low-cost multimodal model for understanding text, images, audio, video, and PDFs, with tool calling and a 1M-token context window.
Omni-era GPT for multimodal chat, practical coding, and general assistants
GPT model for general reasoning, writing, coding, and tool-assisted tasks
Llama 3 fine-tune optimized for function calling, structured JSON responses, and dialogue
Mistral model for multilingual chat, reasoning, and tool-assisted workflows
Microsoft WizardLM instruction-tuned Mixtral MoE for multilingual dialogue and complex tasks
Qwen vision-language model for visual reasoning, documents, and agent tasks
Flagship Qwen model for complex reasoning, coding, and agentic workflows
Lightweight multilingual cross-encoder that scores query-document relevance
Legacy model retained for compatibility with older integrations
Flagship Mistral model for advanced reasoning, coding, and multilingual work
Multilingual embedding model combining dense, sparse, and multi-vector retrieval
Qwen instruction model for multilingual chat, reasoning, and tool use
Qwen vision-language model for visual reasoning, documents, and agent tasks
Deeper Sonar search model with broader retrieval and stronger synthesis
Fast web-grounded Sonar for current answers, citations, and lightweight retrieval
Web-grounded Sonar for multi-step research questions that need cited reasoning
Upstage depth-upscaled 10.7B instruction model for single-turn chat
Open sparse mixture-of-experts Mistral instruction model
Embedding model for semantic search, retrieval, clustering, and ranking pipelines
Compact GPT model for low-latency assistance and high-volume workloads
GPT model for general reasoning, writing, coding, and tool-assisted tasks
Open Whisper checkpoint for robust multilingual transcription and captioning
Llama 2 merge combining MythoLogic and Huginn for creative writing and roleplay
General-purpose chat model for instruction following, writing, and analysis
Open-weight instruction model for adaptable chat and self-hosted production workloads
Compact GPT model for low-latency assistance and high-volume workloads