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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 · Mistral 3.5

Mistral Medium 3.5

Open weightsGenerally availableModified MIT (commercial use restricted for very large-revenue companies)

Mistral's dense 128B open-weight flagship that merges instruct, reasoning and coding (replacing Magistral and Devstral 2) for agentic and coding workloads.

AA Intelligence
14.2#79 of 142
Input / output per 1M
$1.50/ $7.50
Output speed
147tok/s
Context window
256K tokens

Composite indexes

  • Artificial Analysis Intelligence Index#79 of 142
    14independentIntelligence Index v4.3; high effortArtificial Analysis: Mistral Medium 3.5 ↗

    Leader: Claude Opus 5.5 at 58

Coding

  • SciCode#69 of 94
    40.2%independenthigh effortArtificial Analysis: Mistral Medium 3.5 ↗

    Leader: Claude Opus 5.5 at 66.9%

  • Terminal-Bench 4.0#75 of 88
    0%independenthigh effortArtificial Analysis: Mistral Medium 3.5 ↗

    Leader: Claude Mythos 5.1 at 60.9%

  • Terminal-Bench 2.x#61 of 103
    50.6%independentTerminal-Bench 2.1; high effortArtificial Analysis: Mistral Medium 3.5 ↗

    Leader: Claude Fable 5.1 at 91.4%

  • SWE-bench Verified#5 of 16
    77.6%vendorreasoning_effort highMistral Medium 3.5 model card ↗

    Leader: Claude Sonnet 5 at 85.2%

Agents and tool use

  • τ²-Bench#14 of 88
    94.2%independenttelecom; high effortArtificial Analysis: Mistral Medium 3.5 ↗

    Leader: GLM-5.2 at 99.1%

  • GDPval-AA#66 of 103
    747independenthigh effortArtificial Analysis: Mistral Medium 3.5 ↗

    Leader: Claude Opus 5.5 at 1846

Reasoning and knowledge

  • GPQA Diamond#90 of 142
    74.8%independenthigh effortArtificial Analysis: Mistral Medium 3.5 ↗

    Leader: GPT-6 Astra at 96.1%

  • Humanity’s Last Exam#82 of 147
    13.8%independentno tools; high effortArtificial Analysis: Mistral Medium 3.5 ↗

    Leader: Claude Opus 5.5 at 61.4%

  • CritPt#104 of 139
    0%independenthigh effortArtificial Analysis: Mistral Medium 3.5 ↗

    Leader: GPT-5.6 Sol at 32.3%

Vision and long context

  • AA Long Context Reasoning#76 of 139
    69.3%independenthigh effortArtificial Analysis: Mistral Medium 3.5 ↗

    Leader: Kimi K3 at 88.7%

  • MMMU-Pro#49 of 72
    64.9%independenthigh effortArtificial Analysis: Mistral Medium 3.5 ↗

    Leader: Claude Opus 5.5 at 87.7%

Other published results

ResultScoreReported bySource
Terminal-Bench Hard (AA) · high effort33.3%independentArtificial Analysis: Mistral Medium 3.5 ↗
IFBench · high effort68.8%independentArtificial Analysis: Mistral Medium 3.5 ↗
tau2-Bench Banking (AA) · high effort15.1%independentArtificial Analysis: Mistral Medium 3.5 ↗
AA-Omniscience Index · high effort-36.8 indexindependentArtificial Analysis: Mistral Medium 3.5 ↗
AA Analyst Agent · high effort12.5%independentArtificial Analysis: Mistral Medium 3.5 ↗
tau3-Bench Telecom91.4%vendorMistral Medium 3.5 model card ↗

Specs

Released
April 28, 2026
Parameters
128B
Size class
100 to 500B
Input
text, image
Output
text
Context
256K tokens
Max output
Not published
Blended 70/30
$3.30 / 1M
First token
2.34s
  • Price: Mistral docs model page ↗ Mistral API list price. Artificial Analysis lists cached input at $0.15/M.
  • Speed: Artificial Analysis leaderboard (Mistral Medium 3.5, median across providers or first-party as shown) ↗

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