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aiqbench

Alibaba · model passport

Qwen: Qwen3.8 Max (0902)

qwen3-8-max-0902
  • Cloud only
  • Proprietary licence
  • 1,000,000 context
  • Released 2026-10-09(first seen on LMArena)
5/27axes covered
Best percentile
100.0AIME (math)
Cohort standing
67.7median 60.5

What the data says

Benchmarked on 5 of 27 tracked axes. Every figure below is the model's own published result on that board.

Strongest axes

  • 100 pct — AIME (math) (100.0%)
  • 93.5 pct — WebDev Arena (1,673)
  • 89.6 pct — GPQA Diamond (92.3%)

Uneven: 52.2 percentile points between its best and worst axis — 100 pct on AIME (math) versus 47.8 pct on Terminal-Bench 4.0.

  • AIME (math)100 pct100.0%Verify →
  • WebDev Arena93.5 pct1,673Verify →
  • GPQA Diamond89.6 pct92.3%Verify →
  • SimpleQA Verified61 pct47.3%Verify →
  • Terminal-Bench 4.047.8 pct27.0%Verify →
  • OverallNot benchmarked
  • Vision ArenaNot benchmarked
  • Factuality ArenaNot benchmarked
  • Search ArenaNot benchmarked
  • Document ArenaNot benchmarked
  • Agent ArenaNot benchmarked
  • FrontierMathNot benchmarked
  • ARC-AGI-2Not benchmarked
  • Humanity's Last ExamNot benchmarked
  • SimpleBenchNot benchmarked
  • LiveBenchNot benchmarked
  • BFCL v4 (function calling)Not benchmarked
  • SWE-bench Verified (live board)Not benchmarked
  • MMLU-Pro (Artificial Analysis)Not benchmarked
  • LiveCodeBench (Artificial Analysis)Not benchmarked
  • IFBench (Artificial Analysis)Not benchmarked
  • HHEM Hallucination (Vectara)Not benchmarked
  • SWE-bench VerifiedNot benchmarked
  • Terminal-BenchNot benchmarked
  • CodingNot benchmarked
  • Instruction followingNot benchmarked
  • Hard promptsNot 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 IDqwen/qwen3.8-max-0902
Context length1,000,000 tokens
Max output131,072 tokens
Acceptstext, image, video
Input price$2 per 1M tokens
Cached input price$0.25 per 1M tokens
Output price$6 per 1M tokens

API parameters this endpoint supports

Frequency penaltyInclude reasoningLogprobsMax tokensPresence penaltyReasoningReasoning effortResponse formatSeedStop sequencesStructured outputsTemperatureTool choiceTool callingTop-kTop logprobsTop-p

Example request

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen/qwen3.8-max-0902","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.

  • qwen3.8-max-0902 stands at 67.7 (raw mean 78.4) — measured on 5 of 27 axes.

    standingtemplateVerify →

  • qwen3.8-max-0902 stands at 67.7 versus a cohort median of 60.5 across 172 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 →