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MathArena

Recent mathematics competitions and olympiads, chosen so the problems post-date each model's training.

ReasoningRun by SRI Lab, ETH Zurich and INSAITOfficial leaderboard (opens in a new tab)

Top score
90.1%GPT-6.1 Sol
Median of field
56.1%10 models scored
Data as of
Oct 8, 2026MathArena leaderboard

Standings

Bars share one axis from 0% to 100%.

  1. Rank 1
    GPT-6.1 Sol90.1%

    OpenAI · $2 / $10New

  2. Rank 2
    GPT-6 Astra88%

    OpenAI · $10 / $50New

  3. Rank 3
    Claude Opus 5.583.3%

    Anthropic · $4 / $20New

  4. Rank 4
    Claude Fable 5.182.6%

    Anthropic · $10 / $50New

  5. Rank 5
    Qwen3.8-Max56.1%

    Alibaba · $2 / $6

  6. Rank 6
    Kimi K350.5%

    Moonshot AI · $3 / $15Open weights

  7. Rank 7
    Grok 4.746.7%

    SpaceXAI · $2 / $6New

  8. Rank 8
    Muse Spark 1.346.6%

    Meta · $1.25 / $4.25New

  9. Rank 9
    DeepSeek-V4.1-Flash43.3%

    DeepSeek · $0.30 / $1.20NewOpen weights

  10. Rank 10
    Gemini 3.8 Flash35.3%

    Google · $0.75 / $3.75New

Not reported for MathArena · 19

  • ·
    Claude Haiku 5.5—Not reported

    Anthropic · $0.10 / $0.50New

  • ·
    Claude Sonnet 5.5—Not reported

    Anthropic · $2 / $10New

  • ·
    DeepSeek-V4-Pro—Not reported

    DeepSeek · $1.32 / $3.96NewOpen weights

  • ·
    Gemini 3.1 Pro—Not reported

    Google · $2 / $12Preview

  • ·
    Gemini 3.5 Flash-Lite—Not reported

    Google · $0.30 / $2.50

  • ·
    Gemini 4 Argon—Not reported

    Google · $2 / $10NewPreview

  • ·
    Gemma 4 31B—Not reported

    Google · Self-hostedOpen weights

  • ·
    GLM-5.3—Not reported

    Z.ai · $1.40 / $4.40NewOpen weights

  • ·
    GLM-5.3-Flash—Not reported

    Z.ai · $0.15 / $0.50NewOpen weights

  • ·
    GPT-6 Luna—Not reported

    OpenAI · $0.10 / $0.50New

  • ·
    Kimi K2.7 Code—Not reported

    Moonshot AI · $0.95 / $4Open weights

  • ·
    MiMo-V2.6-Pro—Not reported

    Xiaomi · $0.435 / $0.87NewOpen weights

  • ·
    MiniMax M3—Not reported

    MiniMax · $0.30 / $1.20Open weights

  • ·
    Mistral Large 4—Not reported

    Mistral AI · $1.36 / $4.18NewPreview

  • ·
    Mistral Medium 3.5—Not reported

    Mistral AI · $1.50 / $7.50Open weights

  • ·
    Mistral Small 4—Not reported

    Mistral AI · $0.15 / $0.60Open weights

  • ·
    Muse Glimmer 30B—Not reported

    Meta · Self-hostedNewOpen weights

  • ·
    Qwen3.8-27B—Not reported

    Alibaba · $0.50 / $3NewOpen weights

  • ·
    Qwen3.8-Flash-Next—Not reported

    Alibaba · $0.15 / $0.47NewOpen weights

What it measures

Competition mathematics on fresh problems: olympiads and contests held after the models were trained, plus newer tracks built from recent arXiv papers and Project Euler.

How it is scored

Expected performance across all current competitions, in percent, with each model run four times per problem. Where a model was not run on a competition, MathArena estimates the value.

Read it with care

Older competitions saturate and are retired by the maintainers, so the aggregate shifts over time. Part of each model's figure can be an estimate rather than a measurement.

Other benchmarks

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  • Arena WebDev
  • GDPval-AA
  • Vending-Bench 2
  • ARC-AGI-2
  • ARC-AGI-3
  • FrontierMath (Tiers 1–3)
  • SimpleBench
  • Humanity's Last Exam (Diamond)
  • GPQA Diamond
  • Arena Vision
  • Arena Text
Yardstick

A plain reading of how today’s SI models compare. Scores are taken from each benchmark’s own leaderboard wherever one exists; anything a lab reported about its own model is marked.

Data as of Oct 8, 2026.

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Sources

  • Artificial Analysis (opens in a new tab)
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  • Epoch AI Benchmarking Hub (opens in a new tab)
  • ARC Prize (opens in a new tab)
  • Terminal-Bench (opens in a new tab)
  • Scale AI Labs (opens in a new tab)

Yardstick is an independent reference and is not affiliated with, sponsored by or endorsed by any lab listed. Product names and logos are trademarks of their respective owners and are used only to identify them. Benchmarks are imperfect proxies: check a model on your own task before you commit to it.

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