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aiqbench

Alibaba · model passport

Qwen: Qwen3.5 Plus 2026-04-20

qwen3-5-plus
  • 1,000,000 context
  • Released 2026-02-15(from model name)
5/27axes covered
Best percentile
68.3GPQA Diamond
Cohort standing
50.3median 57.4

What the data says

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

Uneven: 47.6 percentile points between its best and worst axis — 68.3 pct on GPQA Diamond versus 20.7 pct on SimpleQA Verified.

  • GPQA Diamond68.3 pct84.8%Verify →
  • AIME (math)67 pct86.7%Verify →
  • FrontierMath59.4 pct21.0%Verify →
  • HHEM Hallucination (Vectara)37.1 pct89.3%Verify →
  • SimpleQA Verified20.7 pct25.4%Verify →
  • OverallNot benchmarked
  • WebDev ArenaNot benchmarked
  • Vision ArenaNot benchmarked
  • Factuality ArenaNot benchmarked
  • Search ArenaNot benchmarked
  • Document ArenaNot benchmarked
  • Agent ArenaNot 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
  • 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/qwen3.5-plus-20260420
Context length1,000,000 tokens
Max output65,536 tokens
Acceptstext, image, video
Input price$0.30 per 1M tokens
Output price$1.80 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/qwen3.5-plus-20260420","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.

  • qwen3.5-plus stands at 50.3 (raw mean 50.5) — measured on 5 of 27 axes.

    standingtemplateVerify →

  • qwen3.5-plus stands at 50.3 versus a cohort median of 57.4 across 108 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 →