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aiqbench

Alibaba · model passport

Qwen: Qwen3.7 Max

qwen3-7-max
  • Cloud only
  • Proprietary licence
  • 1,000,000 context
  • Released 2026-05-17(from model name)
9/27axes covered
Best percentile
98.5IFBench (Artificial Analysis)
Cohort standing
69.8median 59.2

What the data says

Benchmarked on 9 of 27 tracked axes. Every figure below is the model's own published result on that board.

Strongest axes

  • 98.5 pct — IFBench (Artificial Analysis) (80.5%)
  • 88.7 pct — LiveBench (73.1%)
  • 87.4 pct — SimpleBench (70.4%)

Uneven: 76.7 percentile points between its best and worst axis — 98.5 pct on IFBench (Artificial Analysis) versus 21.8 pct on Agent Arena.

  • IFBench (Artificial Analysis)98.5 pct80.5%Verify →
  • LiveBench88.7 pct73.1%Verify →
  • SimpleBench87.4 pct70.4%Verify →
  • GPQA Diamond86.4 pct90.9%Verify →
  • AIME (math)81.5 pct95.6%Verify →
  • SWE-bench Verified81.3 pct77.3%Verify →
  • SimpleQA Verified75.6 pct55.8%Verify →
  • WebDev Arena66.2 pct1,515Verify →
  • Agent Arena21.8 pct-0.058Verify →
  • OverallNot benchmarked
  • Vision ArenaNot benchmarked
  • Factuality ArenaNot benchmarked
  • Search ArenaNot benchmarked
  • Document ArenaNot benchmarked
  • FrontierMathNot benchmarked
  • ARC-AGI-2Not benchmarked
  • Humanity's Last ExamNot 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
  • HHEM Hallucination (Vectara)Not 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/qwen3.7-max
Context length1,000,000 tokens
Max output131,072 tokens
Input price$1.48 per 1M tokens
Cached input price$0.29 per 1M tokens
Output price$4.42 per 1M tokens

API parameters this endpoint supports

Frequency penaltyInclude reasoningLogprobsMax tokensPresence penaltyReasoningResponse 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/qwen3.7-max","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.

  • qwen3.7-max-20260517 stands at 69.8 (raw mean 76.4) — measured on 9 of 27 axes.

    standingtemplateVerify →

  • qwen3.7-max-20260517 stands at 69.8 versus a cohort median of 59.2 across 216 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 →