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Data checked September 25, 2026
Data checked September 25, 2026
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Data checked September 25, 2026 · Every number links to its sourceRSS · Source on GitHub
Leaderboard/Mistral
Mistral

Mistral · Ministral 3

Ministral 3 14B

Open weightsGenerally availableApache-2.0

Largest Ministral 3 edge model for local or low-cost multimodal inference.

AA Intelligence
6#129 of 142
Input / output per 1M
$0.20/ $0.20
Output speed
89tok/s
Context window
256K tokens

Composite indexes

  • Artificial Analysis Intelligence Index#129 of 142
    6independentIntelligence Index v4.3; non-reasoningArtificial Analysis: Ministral 3 14B ↗

    Leader: Claude Opus 5.5 at 58

Coding

  • SciCode#90 of 94
    23.8%independentnon-reasoningArtificial Analysis: Ministral 3 14B ↗

    Leader: Claude Opus 5.5 at 66.9%

  • Terminal-Bench 4.0#78 of 88
    0%independentnon-reasoningArtificial Analysis: Ministral 3 14B ↗

    Leader: Claude Mythos 5.1 at 60.9%

  • Terminal-Bench 2.x#92 of 103
    9.7%independentTerminal-Bench 2.1; non-reasoningArtificial Analysis: Ministral 3 14B ↗

    Leader: Claude Fable 5.1 at 91.4%

  • LiveCodeBench#40 of 56
    35.1%independentnon-reasoningArtificial Analysis: Ministral 3 14B ↗

    Leader: Fugu at 92.9%

Agents and tool use

  • τ²-Bench#57 of 88
    27.2%independenttelecom; non-reasoningArtificial Analysis: Ministral 3 14B ↗

    Leader: GLM-5.2 at 99.1%

  • GDPval-AA#91 of 103
    234independentnon-reasoningArtificial Analysis: Ministral 3 14B ↗

    Leader: Claude Opus 5.5 at 1846

Reasoning and knowledge

  • GPQA Diamond#116 of 142
    57.2%independentnon-reasoningArtificial Analysis: Ministral 3 14B ↗

    Leader: GPT-6 Astra at 96.1%

  • Humanity’s Last Exam#128 of 147
    4.6%independentno tools; non-reasoningArtificial Analysis: Ministral 3 14B ↗

    Leader: Claude Opus 5.5 at 61.4%

  • CritPt#106 of 139
    0%independentnon-reasoningArtificial Analysis: Ministral 3 14B ↗

    Leader: GPT-5.6 Sol at 32.3%

Vision and long context

  • AA Long Context Reasoning#108 of 139
    26.3%independentnon-reasoningArtificial Analysis: Ministral 3 14B ↗

    Leader: Kimi K3 at 88.7%

  • MMMU-Pro#65 of 72
    49.8%independentnon-reasoningArtificial Analysis: Ministral 3 14B ↗

    Leader: Claude Opus 5.5 at 87.7%

Other published results

ResultScoreReported bySource
aime-2025 · AIME 2025; non-reasoning30%independentArtificial Analysis: Ministral 3 14B ↗
Terminal-Bench Hard (AA) · non-reasoning4.5%independentArtificial Analysis: Ministral 3 14B ↗
IFBench · non-reasoning32%independentArtificial Analysis: Ministral 3 14B ↗
tau2-Bench Banking (AA) · non-reasoning6.6%independentArtificial Analysis: Ministral 3 14B ↗
AA-Omniscience Index · non-reasoning-66.4 indexindependentArtificial Analysis: Ministral 3 14B ↗

Specs

Released
December 2, 2025
Parameters
14B
Size class
10 to 40B
Input
text, image
Output
text
Context
256K tokens
Max output
Not published
Blended 70/30
$0.20 / 1M
First token
0.93s
  • Price: Mistral docs model page ↗ Mistral API list price per 1M tokens.
  • Speed: Artificial Analysis leaderboard (Ministral 3 14B, median across providers or first-party as shown) ↗

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