- 🆕 Unifies instruct, reasoning, and coding into one model
- 🧠 119B-parameter MoE, only ~6.5B active per token
- 🔧 128 experts, 4 active per token
- 📏 Native 256K-token context window
- 👁️ Accepts text and image input, text output
- 🎯 Configurable reasoning effort, toggle fast vs. thinking mode
- 🔒 Apache 2.0 license, open weights
- 💬 Native function calling and JSON output for agentic use
Mistral AI is a French artificial intelligence company headquartered in Paris, founded in 2023. The company focuses on developing large language models offered under both open-weight and proprietary licenses. Mistral AI has quickly risen to prominence in the AI landscape,…
Explore 1 more model by Mistral AI →Mistral Small 4, released March 16, 2026, is Mistral AI's open-weight hybrid model that consolidates three previously separate model families—Instruct, Reasoning (formerly Magistral), and Devstral coding—into a single checkpoint. It uses a Mixture-of-Experts architecture with 119 billion total parameters spread across 128 experts, activating only 4 experts (about 6.5 billion parameters) per token, giving it the inference profile of a much smaller dense model. It accepts text and image input, supports a 256K-token context window, and exposes a configurable reasoning-effort parameter that toggles between fast instant replies and a slower thinking mode.
This marks a substantial change from its same-family predecessor, [[sibling:mistral-small-3-2-24b-instruct|Mistral Small 3.2 24B Instruct]], a 24B dense instruction model from January 2026. Where Small 3.2 focused on text instruction following, Small 4 moves to a sparse MoE design, adds native vision, integrates dedicated reasoning and agentic-coding behavior, and expands deployment to enterprise-scale tasks.
Mistral distributes Small 4 under the Apache 2.0 license with multiple checkpoints, including an NVFP4 4-bit quantized version and a trained Eagle head for speculative decoding. Mistral positions it for chat assistants, coding, agentic workflows, and reasoning tasks, with native function calling and JSON output.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
| Seller | Reputation↓ | Input $/M | Cached $/M | Output $/M | Categories | API |
|---|---|---|---|---|---|---|
| Venice.ai Proxy 0x1f22…18c9 | 88 | $0.0938 | $0.0938 | $0.375 | chat,reasoning,coding,vision,multimodal,web-search | openai-chat-completions |
| surplusintelligence.ai 0x0e49…8927 | 79 | $0.1875 | $0.1875 | $0.75 | anon,chat,code,coding,multimodal,reasoning,vision,web-search,research,translate | openai-chat-completions |
| Mistral Relay Node 0x057c…2a5f | 65 | $25.00 | $0.10 | $63.00 | chat,coding,analysis | openai-chat-completions |
| Deepseek Compute Node 0x2d3f…22ec | 47 | $30.00 | $0.10 | $75.00 | chat,coding,analysis | openai-chat-completions |
| Fire Ant 🔥🐜 0xbe05…bc5d | 45 | $0.1688 | $0.1688 | $0.675 | anon,chat,code,coding,multimodal,open-source,reasoning,research,tasks,translate,vision,web-search | — |
| ▲ Apex Ant 0x73b4…e736 | 40 | $0.0017 | $0.0003 | $0.0068 | chat,reasoning,vision,multimodal,tasks | openai-chat-completions |
| Leftermute 0x388b…5389 | 26 | $0.0379 | $0.0379 | $0.1515 | chat,coding,json,tools | openai-chat-completions |
| Meridian AI 0x8c8c…06f5 | 2 | $0.0405 | $0.0405 | $0.162 | chat,coding | openai-chat-completions |
"Best price" and the seller table are live AntSeed catalog data (advertised $/1M tokens, not settled amounts). Reputation = on-chain trust (0-100). Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase.