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aiqbench

Alibaba · model passport

Qwen: Qwen3.8 Max (0902)

qwen3-8-max
  • Cloud only
  • Proprietary licence
  • 1,000,000 context
  • Released 2026-10-09(first seen on LMArena)
12/27axes covered
Overall · LMArena
1,482#21 of 396
Best percentile
99.3Vision Arena
Cohort standing
79.5median 60.6

What the data says

Benchmarked on 12 of 27 tracked axes. Every figure below is the model's own published result on that board.

Strongest axes

  • 99.3 pct — Vision Arena (1,301)
  • 94.9 pct — Overall (1,482)
  • 94.2 pct — WebDev Arena (1,674)

Uneven: 44.8 percentile points between its best and worst axis — 99.3 pct on Vision Arena versus 54.5 pct on Agent Arena.

  • Vision Arena99.3 pct1,301Verify →
  • Overall94.9 pct1,482Verify →
  • WebDev Arena94.2 pct1,674Verify →
  • Instruction following94.2 pct1,474Verify →
  • Hard prompts94.2 pct1,503Verify →
  • Coding93.6 pct1,523Verify →
  • AIME (math)93.5 pct99.4%Verify →
  • Search Arena90.5 pct1,229Verify →
  • GPQA Diamond90.5 pct92.7%Verify →
  • Factuality Arena87.8 pct1,472Verify →
  • SimpleQA Verified54.9 pct45.8%Verify →
  • Agent Arena54.5 pct0.019Verify →
  • Document 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
  • Terminal-Bench 4.0Not 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

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 stands at 79.5 (raw mean 86.9) — measured on 12 of 27 axes.

    standingtemplateVerify →

  • qwen3.8-max stands at 79.5 versus a cohort median of 60.6 across 171 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 →