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aiqbench

Alibaba · model passport

Qwen3 235b A22b No Thinking

qwen3-235b-a22b-no-thinking
  • Open weights
  • Apache 2.0 licence
  • Released 2026-10-15(first seen on LMArena)
4/27axes covered
Overall · LMArena
1,402#146 of 396
Best percentile
63.6Hard prompts
Cohort standing
57.0median 60.7

What the data says

Benchmarked on 4 of 27 tracked axes. Every figure below is the model's own published result on that board.

Uneven: 4.3 percentile points between its best and worst axis — 63.6 pct on Hard prompts versus 59.3 pct on Instruction following.

  • Hard prompts63.6 pct1,420Verify →
  • Overall63.4 pct1,402Verify →
  • Coding62.4 pct1,444Verify →
  • Instruction following59.3 pct1,381Verify →
  • WebDev ArenaNot benchmarked
  • Vision ArenaNot benchmarked
  • Factuality ArenaNot benchmarked
  • Search ArenaNot benchmarked
  • Document ArenaNot benchmarked
  • Agent ArenaNot benchmarked
  • GPQA DiamondNot benchmarked
  • AIME (math)Not benchmarked
  • FrontierMathNot 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

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.

  • qwen3-235b-a22b-no-thinking stands at 57 (raw mean 62.2) — measured on 4 of 27 axes.

    standingtemplateVerify →

  • qwen3-235b-a22b-no-thinking stands at 57 versus a cohort median of 60.7 across 169 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 →