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 1-36 of 610 models
Open-weight mixture-of-experts model with about 2.5B active parameters for local coding agents
Frontier multimodal coding model with 1M context window and tunable thinking depth
October 17 update of DeepSeek V4.1 Flash with improved reasoning, coding, agentic tasks, and visual understanding
Inception's diffusion reasoning model for chat, multi-step problem solving, and tool use
Muse Spark Open is an 816B total / 42B active open-weight multimodal reasoning model from Meta for coding and long-horizon agentic work, with 1M-token context.
NVIDIA Nemotron 3.5 Super reasoning model (120B total, 12B active) served with text-only input
NVIDIA vision-language reasoning model for text, image, and video understanding and agentic tool use
System One model for fast, typed probabilistic decisions over text or structured state
Google's flagship reasoning model for complex software engineering, deep math and science, and long-horizon autonomous agents
Muse Wonder is a frontier multimodal reasoning model from Meta for personal and professional agents, long-horizon coding, and computer use. It combines Active Memory, which carries relevant context across conversations, with Active Focus, which keeps it working through blockers t...
Muse Wonder Full is the most capable model in Meta's Muse Wonder series, built for long-running professional agents and ultra-long-horizon software engineering. It shares Muse Wonder's Active Memory and Active Focus capabilities and generally scores higher on Meta's agentic and c...
LightOnOCR-3-0.8B is the lightest model of LightOn's LightOnOCR-3 family, with the same layout and visual understanding features as its larger siblings.
Encoder decision model that answers typed questions (noul, choice, score) over text with calibrated probabilities, on CPU and GPU
Fast Claude model for responsive assistance, classification, and lightweight agents
First MoE MiniCPM-V model for single-image, multi-image and video understanding
Mistral's 1T-parameter multimodal MoE for reasoning, coding, and agentic work
Compact MiniCPM-V model for single-image, multi-image and video understanding
35B mixture-of-experts System One decision model with 3B active parameters, returning typed, calibrated probabilities over text or structured state without generating text
Image model for prompt-driven generation, multi-turn editing, and visual design workflows
Sparse mixture-of-experts reasoning model with 23B active parameters for coding and agentic workflows
Cloudflare's fast 9B open-weight decision model that returns probabilities for typed choice, score and yes/no questions about text or images
Cloudflare's open-weight decision model that returns probabilities for typed choice, score and yes/no questions about text or images
Cost-efficient video model for text-to-video and image-to-video generation
Near-Astra performance for complex coding, computer use, and professional work at a lower cost.
Efficient model for low-latency assistance, extraction, and routine automation
System One decision model for typed classification, routing, and scoring over shared state
Fast Claude model for everyday coding, agents, and knowledge work
System One decision model for typed, calibrated probabilistic answers over text or structured state
Frontier multimodal coding model with 1M context window and tunable thinking depth
Meituan's multimodal reasoning model for coding and agent tasks, with image understanding and a 1M-token context window
High-throughput edition of Qwen3.8 Max for coding, professional work, multimodal understanding, and long-running agent workflows
OpenAI's most efficient model for focused, high-volume tasks
OpenAI model for complex coding and agentic workflows
Specialized model from Fireworks built on Kimi K3, producing shorter reasoning traces with approximately 40% fewer tokens while maintaining comparable quality
MiMo Flash model for multimodal coding agents and long-context automation
Stronger MiMo Pro tier for multimodal reasoning and coding-agent execution