BenchLeader

o1-mini

Reasoning effort

o1-mini is an OpenAI proprietary reasoning model, released 12 Sept 2024. Its best configuration ranks #497 of 785 on the BenchLeader Index at 46.1 ±6.4, in the lower half. The ± is the point: 383 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in maths (53) and lowest in reasoning (36). It has been measured at 3 reasoning-effort settings; this summary describes the best-scoring one, and the tabs above switch between them. Last measured 22 Oct 2026.

Blended price
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Output speed
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First answer
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Context
128k
Full answer
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Cost per run
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Released
12 Sept 2024
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index46
  2. Reasoning36
  3. Coding44
  4. Maths53
  5. Human preference50
  6. Composite40

Reasoning-effort configurations

The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Not stated” collects results from publishers that did not say which setting they used; for a reasoning model that is usually its thinking mode, but we do not assume it. Pick a setting here or at the top of the page to see its price, speed and category scores.

EffortIndexRankSpeedFirst answerChat reply costCategories
medium44.4#539–––Agents & tools 38 · Coding 41 · Maths 53 · Reasoning 35
high–––––Knowledge 56 · Maths 55 · Reasoning 46
not statedbest46.1#497–––Coding 44 · Composite 40 · Human preference 50 · Maths 53 · Reasoning 36

How its index has moved

8 Sept 2026 to 21 Oct 2026
384653
  • not stated
  • medium

The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

Benchmarkmediumhighnot statedSourceTrend
GPQA Diamond59.5%#19462.4%#189–Epoch AI Benchmarking Hub
SimpleBench18.1%#84––SimpleBench
Arena Hard Promptseffort not stated––1360#207Arena (LMArena)
GPQA Diamond (AA)not in indexeffort not stated––60.3%#374Artificial Analysis
Humanity's Last Exam (AA)not in indexeffort not stated––3.6%#586Artificial Analysis
ARC-AGI-1effort not stated––14.0%#230ARC Prize
ARC-AGI-2effort not stated––0.8%#231ARC Prize

Coding

Benchmarkmediumnot statedSourceTrend
WeirdML36.3%#124–WeirdML
Arena Codingeffort not stated–1386#208Arena (LMArena)
Aider Polygloteffort not stated–32.9%#34Aider polyglot leaderboard

Agents & tools

Benchmarkmediumnot statedSourceTrend
Cybench10.0%#15–Cybench
BrowseCompnot in indexeffort not stated–0.9%#19OpenAI

Maths

Benchmarkmediumhighnot statedSourceTrend
OTIS Mock AIME44.7%#19146.9%#186–Epoch AI Benchmarking Hub
MATH Level 584.3%#2989.2%#22–Epoch AI Benchmarking Hub
Arena Mathseffort not stated––1362#191Arena (LMArena)

Knowledge

BenchmarkhighSourceTrend
MedQA90.2%#46Vals AI

Instruction following

Benchmarknot statedSourceTrend
Arena Instruction Followingnot in index1332#205Arena (LMArena)

Human preference

Benchmarkmediumnot statedSourceTrend
Arena Texteffort not stated–1337#216Arena (LMArena)
Arena Creative Writingnot in indexeffort not stated–1281#236Arena (LMArena)
Arena Multi-turnnot in indexeffort not stated–1323#221Arena (LMArena)
Arena Longer Queriesnot in indexeffort not stated–1344#209Arena (LMArena)
Lech Mazur Creative Writingnot in index64.9%#36–Lech Mazur

Composite

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See also

Questions people ask

What are o1-mini's benchmark scores?
As of 25 Oct 2026, o1-mini scores 46.1 ±6.4 on the BenchLeader Index, strongest in maths (53) and weakest in reasoning (36). That rests on 8 independent benchmark results, and every score on this page links to its publisher.
How does o1-mini rank?
o1-mini is #497 of 785 ranked configurations on 25 Oct 2026. 383 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
When was o1-mini released?
OpenAI released o1-mini on 12 Sept 2024. BenchLeader has results for it at 3 reasoning-effort settings.

Data as of 25 Oct 2026. Compare these configurations.

Cite as: BenchLeader, “o1-mini: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/o1-mini.