Mistral Small 4

CodeVisionReasoningWeb searchFunction calling
Quick reference
Mistral Small 4 — TLDR
  • 🆕 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
💰 Best price on AntSeed
$0.0017 / $0.006899%
per 1M · cheapest in / out
📏 Context
256K tokens
🐜 Sellers
8
advertising on AntSeed
Provider

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,…

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About this model

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.

View source on GitHub ↗View model card on HuggingFace ↗
Sources
docs.mistral.aiMistral Small 4 - Mistral AI | Mistral Docs· docs.mistral.aidocs.api.nvidia.commistralai / mistral-small-4-119b-2603· docs.api.nvidia.combuild.nvidia.commistral-small-4-119b-2603 Model by Mistral AI· build.nvidia.comhuggingface.comistralai/Mistral-Small-4-119B-2603 · Hugging Face· huggingface.co

This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.

Sellers serving Mistral Small 4 (8)
SellerReputationInput $/MCached $/MOutput $/MCategoriesAPI

"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.