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aiqbench

OpenAI · model passport

OpenAI: o3 Mini High

o3-mini
  • Cloud only
  • Proprietary licence
  • 200,000 context
  • Released 2025-01-31(curated)
15/27axes covered
Overall · LMArena
1,364#189 of 396
Best percentile
84.5LiveBench
Cohort standing
51.8median 43.0

What the data says

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

Weakest axes

  • 11 pct — SimpleQA Verified (15.3%)
  • 12.6 pct — SimpleBench (22.8%)

Uneven: 73.5 percentile points between its best and worst axis — 84.5 pct on LiveBench versus 11 pct on SimpleQA Verified.

  • LiveBench84.5 pct71.4%Verify →
  • LiveCodeBench (Artificial Analysis)82.1 pct73.4%Verify →
  • IFBench (Artificial Analysis)76.9 pct67.1%Verify →
  • MMLU-Pro (Artificial Analysis)67.4 pct80.2%Verify →
  • Coding58.6 pct1,434Verify →
  • GPQA Diamond57.9 pct77.0%Verify →
  • Hard prompts57.1 pct1,401Verify →
  • Instruction following56.1 pct1,366Verify →
  • AIME (math)55 pct76.9%Verify →
  • Overall52.5 pct1,364Verify →
  • FrontierMath49.3 pct12.4%Verify →
  • SWE-bench Verified (live board)33.8 pct42.4%Verify →
  • ARC-AGI-227 pct3.0%Verify →
  • SimpleBench12.6 pct22.8%Verify →
  • SimpleQA Verified11 pct15.3%Verify →
  • WebDev ArenaNot benchmarked
  • Vision ArenaNot benchmarked
  • Factuality ArenaNot benchmarked
  • Search ArenaNot benchmarked
  • Document ArenaNot benchmarked
  • Agent ArenaNot benchmarked
  • Humanity's Last ExamNot benchmarked
  • BFCL v4 (function calling)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/o3-mini-high
Context length200,000 tokens
Max output100,000 tokens
Acceptstext, file
Input price$1.10 per 1M tokens
Cached input price$0.55 per 1M tokens
Output price$4.40 per 1M tokens

API parameters this endpoint supports

Include reasoningMax tokensReasoningReasoning effortResponse 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/o3-mini-high","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.

  • o3-mini-high stands at 51.8 (raw mean 52.1) — measured on 15 of 27 axes.

    standingtemplateVerify →

  • o3-mini-high stands at 51.8 versus a cohort median of 43 across 139 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 →