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Mistral Small 4

Mistral AIfamily · Mistraldocs.mistral.ai/models/mistral-small-4-0-26-03

Hybrid model unifying instruct, reasoning, and coding in a single efficient model.

Open in Graph
data quality73

Updated 5 h ago · first seen 11 Sept 2026

model_01M2943ZSKTR767DHTCMVEKMB0

Overview

Identity

Canonical model
Yesidentity confidence: mediumOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
Official checkpoints
official_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
Artifacts
None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
Provider deployments
2
API aliases
mistral-small-4mistral-small-4-non-reasoningmistralai/mistral-small-2603Identifiers under which providers and evaluators refer to this model.
Folded evaluation variants
1Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.

Openness

Open weights— weights downloadable under Apache-2.0; commercial use allowed; redistribution allowed; derivatives allowed; 4 dimensions unknown.

Weights downloadable under a permissive or Creative Commons licence allowing commercial use; code or data may be missing.

  • Weights

    Yes

  • Inference code

    —

  • Training code

    —

  • Training data

    —

  • Dataset

    —

  • Commercial use

    Yes

  • Redistribution

    Yes

  • Derivatives

    Yes

Licence: Apache License 2.0 (permissive · SPDX Apache-2.0 · stated as “Apache 2.0”)

dimensions marked null are unknown, not false

Key facts

Release date

Source:OpenRouter public model & pricing listingT2observed 15 h agomedium

Version

Source:Mistral AI docsT1observed 15 h agohigh

Official page
docs.mistral.ai/models/mistral-small-4-0-26-03

Source:Mistral AI docsT1observed 15 h agohigh

Openrouter id

Source:OpenRouter public model & pricing listingT2observed 15 h agomedium

Architecture

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 15 h agomedium

Hugging Face repo

Source:OpenRouter public model & pricing listingT2observed 15 h agomedium

Capabilities

Modalities

Modalities
imagetext
Input
imagetext
Output
text

Capabilities

  • Tool calling

    Yes

    Mistral AI docs · T1

  • Structured output

    Yes

    Mistral AI docs · T1

  • Reasoning

    Yes

    Artificial Analysis · T2

  • Vision

    Yes

    OpenRouter public model & pricing listing · T2

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Context window

Source:OpenRouter public model & pricing listingT2observed 5 h agomedium

Max output

Source:OpenRouter public model & pricing listingT2observed 15 h agomedium

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 15 h agomedium

Benchmarks34

Compare with another model →

Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric

Benchmark results grouped by comparability group
Benchmark · groupBest scoreTrustConfigurationResultsvs leaderEvaluatedSource
Terminal-Benchagentic · accuracy · variant=v4.0 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvariantv4.0reasoningonconditions differ across rows → partially comparable2non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
Terminal-Benchagentic · accuracy · variant=v2.1 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvariantv2.1reasoningonconditions differ across rows → partially comparable2non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
Terminal-Benchagentic · accuracy · variant=hard · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvarianthardreasoningonconditions differ across rows → partially comparable4−48.5 ptvs gpt-5.6-solobs. 12 Sept 2026artificialanalysis.aiT2
τ²-benchagentic · pass^1 · variant=Telecom · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantTelecomreasoningonconditions differ across rows → partially comparable2non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
τ²-benchagentic · pass^1 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysis2−57.9 ptvs Z.ai GLM 5.2obs. 11 Sept 2026artificialanalysis.aiT2
SciCodecoding · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable2−24.3 ptvs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
Artificial Analysis Intelligence Indexcomposite · indexIndependentreasoningonversion4.3conditions differ across rows → partially comparable4−41.9vs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
IFBenchinstruction-following · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable4−35.2 ptvs Grok 4.3obs. 12 Sept 2026artificialanalysis.aiT2
Humanity's Last Examknowledge · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable4−49.3 ptvs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
MMMU-Promultimodal · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable4−30.1 ptvs gpt-6-astraobs. 12 Sept 2026artificialanalysis.aiT2
GPQA Diamondreasoning · accuracy · variant=Diamond · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantDiamondreasoningonconditions differ across rows → partially comparable2non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
GPQA Diamondreasoning · accuracy · variant=GPQA Diamond · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantGPQA Diamond2−19.4 ptvs gpt-6-astraobs. 11 Sept 2026artificialanalysis.aiT2

Current rows only, grouped by benchmark → canonical metric → comparability group (task configuration). Effort variants folded into this model appear as rows of the same group. 34 current rows in total. “vs leader” compares with the current leader of the benchmark's primary group only; other groups are not directly comparable. Comparability rules →

Providers & Pricing5

All offers in the price terminal →
Provider deployments, cheapest output first
ProviderContextInput / 1MCached inOutput / 1MNative unitsStatusObservedSource
Mistral AI La Plateformecheapest outputmistralai/mistral-small-2603:batch262.1Kout 209.7K$0.0075—active6 h agosince 11 Sept 2026openrouter.aiT2
OpenRoutermistralai/mistral-small-2603:batch262.1Kout 209.7K$0.0075—active2 h agosince 12 Sept 2026openrouter.aiT2
Mistral AI La Plateforme——eur_input_per_mtok=0.12eur_output_per_mtok=0.5active15 h agosince 11 Sept 2026docs.mistral.aiT1
Mistral AI La Plateformemistralai/mistral-small-2603262.1Kout 209.7K$0.015—active6 h agosince 11 Sept 2026openrouter.aiT2
OpenRoutermistralai/mistral-small-2603262.1Kout 209.7K$0.015—active2 h agosince 12 Sept 2026openrouter.aiT2

USD per 1M tokens as published by each provider; native units (per-request fees, flex/priority tiers) are kept verbatim. Rows are append-only — every price change is kept in the history below. Cost of a workload →

Price history

Step lines per provider; amber markers are recorded changes. Click a marker or a row for the evidence behind that price.

Output price · USD / 1M tokens 2 providers

Output price history of Mistral Small 4$0$0.20$0.40$0.60$0.80Sept 26Sept 26Sept 26Sept 26Sept 26Mistral AI La Plateforme: first observed → $0.60 · 11 Sept 2026Mistral AI La Plateforme: $0.60 → $0.30 · 11 Sept 2026OpenRouter: first observed → $0.60 · 12 Sept 2026OpenRouter: $0.60 → $0.30 · 12 Sept 2026
  • Mistral AI La Plateforme
  • OpenRouter
  • OpenRouter$0.60 → $0.3012 Sept 2026
  • OpenRouterfirst observed $0.6012 Sept 2026
  • Mistral AI La Plateforme$0.60 → $0.3011 Sept 2026
  • Mistral AI La Plateformefirst observed $0.6011 Sept 2026

Input price · USD / 1M tokens 2 providers

Input price history of Mistral Small 4$0$0.05$0.10$0.15$0.20Sept 26Sept 26Sept 26Sept 26Sept 26Mistral AI La Plateforme: first observed → $0.15 · 11 Sept 2026Mistral AI La Plateforme: $0.15 → $0.075 · 11 Sept 2026OpenRouter: first observed → $0.15 · 12 Sept 2026OpenRouter: $0.15 → $0.075 · 12 Sept 2026
  • Mistral AI La Plateforme
  • OpenRouter
  • OpenRouter$0.15 → $0.07512 Sept 2026
  • OpenRouterfirst observed $0.1512 Sept 2026
  • Mistral AI La Plateforme$0.15 → $0.07511 Sept 2026
  • Mistral AI La Plateformefirst observed $0.1511 Sept 2026

Versions & Artifacts0

Version history

Context window1 change

11 Sept 2026→12 Sept 2026current

Licensefirst observation only

11 Sept 2026current

Max outputfirst observation only

11 Sept 2026current

Opennessfirst observation only

11 Sept 2026current

Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.

Artifacts 0

No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.

Timeline22

Full timeline →

Change history

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.
1 claims · 1 propertiesShow all properties

Redistribution allowedredistribution_allowed1

Claim history for Redistribution allowed
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentAI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2highderived

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

30

Source tiers

T1T28 / 22

Freshest observation

5 h ago

Conflicts

7 flagged

Source documents 4

Source documents
SourceDocumentTypeTierLast observedSnapshots
Mistral AI docsdocs.mistral.ai/models model_docsT1· Official3 h ago1
Mistral AI docsdocs.mistral.ai/models/mistral-small-4-0-26-03 model_pageT1· Official15 h ago1
OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary2 h ago11
Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· Quality secondary5 h ago2

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (73/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →