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aiqbench

OpenAI · model passport

OpenAI: o1

o1
  • Cloud only
  • Proprietary licence
  • 200,000 context
  • Released 2024-12-05(curated)
15/27axes covered
Overall · LMArena
1,402#145 of 396
Best percentile
87.3MMLU-Pro (Artificial Analysis)
Cohort standing
57.7median 41.3

What the data says

Benchmarked on 15 of 27 tracked axes. Every figure below is the model's own published result on that board.

Strongest axes

  • 87.3 pct — MMLU-Pro (Artificial Analysis) (84.1%)
  • 86.9 pct — LiveBench (72.2%)

Uneven: 61.2 percentile points between its best and worst axis — 87.3 pct on MMLU-Pro (Artificial Analysis) versus 26.1 pct on Humanity's Last Exam.

  • MMLU-Pro (Artificial Analysis)87.3 pct84.1%Verify →
  • LiveBench86.9 pct72.2%Verify →
  • IFBench (Artificial Analysis)82.4 pct70.3%Verify →
  • LiveCodeBench (Artificial Analysis)73.3 pct67.9%Verify →
  • Instruction following69.4 pct1,407Verify →
  • Overall63.6 pct1,402Verify →
  • Hard prompts61.9 pct1,418Verify →
  • GPQA Diamond57.5 pct76.8%Verify →
  • Coding57.5 pct1,433Verify →
  • AIME (math)54.5 pct73.3%Verify →
  • SimpleQA Verified46.3 pct41.1%Verify →
  • FrontierMath44.9 pct9.3%Verify →
  • Vision Arena43.3 pct1,193Verify →
  • SimpleBench33.3 pct40.1%Verify →
  • Humanity's Last Exam26.1 pct8.0%Verify →
  • WebDev ArenaNot benchmarked
  • Factuality ArenaNot benchmarked
  • Search ArenaNot benchmarked
  • Document ArenaNot benchmarked
  • Agent ArenaNot benchmarked
  • ARC-AGI-2Not benchmarked
  • BFCL v4 (function calling)Not benchmarked
  • SWE-bench Verified (live board)Not benchmarked
  • Terminal-Bench 4.0Not benchmarked
  • HHEM Hallucination (Vectara)Not benchmarked
  • SWE-bench VerifiedNot benchmarked
  • Terminal-BenchNot benchmarked

Percentiles are the model's standing within each board's own population. Axes marked "not benchmarked" have no published result for this model — that is an absence of data, not a low score.

How to run it

Use it hosted

API model IDopenai/o1
Context length200,000 tokens
Max output100,000 tokens
Acceptstext, image, file
Input price$15 per 1M tokens
Cached input price$7.50 per 1M tokens
Output price$60 per 1M tokens

API parameters this endpoint supports

Include reasoningMax tokensReasoningResponse formatSeedStructured outputsTool choiceTool calling

Example request

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/o1","messages":[{"role":"user","content":"Hello"}]}'

View on OpenRouter →

Identifiers, limits and prices are synced from the upstream source shown above. Any field we haven't synced is left out entirely rather than guessed.

  • o1-2024-12-17 stands at 57.7 (raw mean 59.2) — measured on 15 of 27 axes.

    standingtemplateVerify →

  • o1-2024-12-17 stands at 57.7 versus a cohort median of 41.3 across 137 models released within 180 days — above the peer median.

    cohorttemplateVerify →

Every claim is a computed fact from the current board data, phrased by a low-temperature model call and rejected by a validation gate if any number is not in the source row. How the leaderboards work →