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aiqbench

Alibaba · model passport

Qwen: Qwen-Plus

qwen-plus
  • 1,000,000 context
  • Released 2025-04-28(from model name)
3/27axes covered
Best percentile
32.1GPQA Diamond
Cohort standing
38.5median 48.7

What the data says

Benchmarked on 3 of 27 tracked axes. Every figure below is the model's own published result on that board.

Uneven: 11.8 percentile points between its best and worst axis — 32.1 pct on GPQA Diamond versus 20.3 pct on FrontierMath.

  • GPQA Diamond32.1 pct48.1%Verify →
  • AIME (math)28.5 pct17.8%Verify →
  • FrontierMath20.3 pct1.7%Verify →
  • OverallNot benchmarked
  • WebDev ArenaNot benchmarked
  • Vision ArenaNot benchmarked
  • Factuality ArenaNot benchmarked
  • Search ArenaNot benchmarked
  • Document ArenaNot benchmarked
  • Agent ArenaNot benchmarked
  • SimpleQA VerifiedNot 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
  • 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/qwen-plus
Context length1,000,000 tokens
Max output32,768 tokens
Input price$0.26 per 1M tokens
Cached input price$0.05 per 1M tokens
Output price$0.78 per 1M tokens

API parameters this endpoint supports

Frequency penaltyLogprobsMax tokensPresence penaltyResponse 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/qwen-plus","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.

  • qwen-plus-2025-01-25 stands at 38.5 (raw mean 27) — measured on 3 of 27 axes.

    standingtemplateVerify →

  • qwen-plus-2025-01-25 stands at 38.5 versus a cohort median of 48.7 across 150 models released within 180 days — below 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 →