Mistral Small

by Mistral AIChat

Efficient Mistral model for fast chat, extraction, and production assistants

Context
262K tokens
Max output
256,000 tokens
Released
2026-03-16
Weights
Open

mistral/mistral-small · also seen as mistral-small-latest, mistral/mistral-small-latest

Specifications

Full facts as recorded, incl. what is unknown.

Released
2026-03-16
Weights
Open
Input
Text, Image
Output
Text
Context window
262,144 max across endpoints
Max output
256,000
Providers
2 + 4 gateways, not counted as providers
Epoch Capabilities Index
not evaluated
Direct price range
$0.15 in · $0.60 out per 1M tokens · 1 of 2 providers have a comparable price
More details
Last updated
2026-03-16
Knowledge cutoff
2025-06

Capabilities

Across all endpoints: supported if any endpoint supports it.

  • Tool calling
  • Parallel toolsunknown
  • Structured output
  • Reasoning
  • Image input
  • PDF input
  • Audio input
  • Audio outputunknown
  • Video input
  • Prompt cachingunknown
  • Web searchunknown
  • Computer useunknown
  • System messagesunknown
  • Assistant prefill
  • Temperature
  • Streamingunknown
  • Attachments

Endpoints

One row per provider and variant; gateways are listed separately.

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Price history

No change since 19 Oct 2026. The cheapest direct price has been $0.15 in / $0.60 out per 1M tokens at Mistral on every data refresh since then.

Tracked from 19 Oct 2026. Headline-eligible direct prices only, so a price the sanity check flags never draws a spike. Series as JSON

Cost calculator

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Blended rate per 1M tokens, each at its own cheapest provider (10M input : 2M output mix).

ModelBlended/1MIn/1MOut/1MContextvs Mistral Small
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Qwen3 VL 30B A3B InstructAlibaba (Qwen)$0.225$0.15$0.60262K+0%
Command RCohere$0.225$0.15$0.60128K+0%
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MiniMax-M3.1-FlashMiniMax$0.225$0.15$0.601M+0%
Mistral Small 4Mistral AI$0.225$0.15$0.60262K+0%
GPT-4o miniOpenAI$0.225$0.15$0.60128K+0%
GPT OSS Safeguard 120BOpenAI$0.225$0.15$0.60131K+0%

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Heads up: prices are indicative list rates scraped from provider pricing pages; verify with the provider before relying on them. Report incorrect data for this model