BenchLeader

QwQ-32B

Reasoning effort

QwQ-32B is an Alibaba open-weights reasoning model, released 5 Mar 2025. Its best configuration ranks #514 of 785 on the BenchLeader Index at 45.4 ±4.0, in the lower half. The ± is the point: 302 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in maths (52) and lowest in long context (37). It has been measured at 2 reasoning-effort settings; this summary describes the best-scoring one, and the tabs above switch between them. Last measured 22 Oct 2026.

Blended price
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Output speed
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First answer
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Context
131k
Full answer
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Cost per run
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Released
5 Mar 2025
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index45
  2. Reasoning49
  3. Coding39
  4. Maths52
  5. Instruction following42
  6. Human preference50
  7. Long context37
  8. Composite40

Reasoning-effort configurations

The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Not stated” collects results from publishers that did not say which setting they used; for a reasoning model that is usually its thinking mode, but we do not assume it. Pick a setting here or at the top of the page to see its price, speed and category scores.

EffortIndexRankSpeedFirst answerChat reply costCategories
thinking–––––
not statedbest45.4#514–––Coding 39 · Composite 40 · Human preference 50 · Instruction following 42 · Long context 37 · Maths 52 · Reasoning 49

How its index has moved

8 Sept 2026 to 23 Oct 2026
414752

The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Coding

Benchmarknot statedSourceTrend
Arena Coding1383#212Arena (LMArena)
Aider Polyglot20.9%#39Aider polyglot leaderboard

Maths

Benchmarknot statedSourceTrend
OTIS Mock AIME59.2%#165Epoch AI Benchmarking Hub
Arena Maths1363#186Arena (LMArena)

Instruction following

Benchmarknot statedSourceTrend
IFBench38.8%#277Artificial Analysis
Arena Instruction Followingnot in index1323#214Arena (LMArena)

Human preference

Benchmarkthinkingnot statedSourceTrend
Arena Texteffort not stated–1336#219Arena (LMArena)
Arena Creative Writingnot in indexeffort not stated–1293#223Arena (LMArena)
Arena Multi-turnnot in indexeffort not stated–1321#225Arena (LMArena)
Arena Longer Queriesnot in indexeffort not stated–1335#222Arena (LMArena)
Lech Mazur Creative Writingnot in index80.2%#17–Lech Mazur

Long context

Benchmarknot statedSourceTrend
AA-LCR26.7%#406Artificial Analysis

Composite

Price history

The price above, per 1M tokens, every day it changed.

$0.00$0.275$0.550$0.825$1.10Sept 26Oct 26
input outputnow $0.287 in · $0.861 out

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See also

Questions people ask

What are QwQ-32B's benchmark scores?
As of 25 Oct 2026, QwQ-32B scores 45.4 ±4.0 on the BenchLeader Index, strongest in maths (52) and weakest in long context (37). That rests on 10 independent benchmark results, and every score on this page links to its publisher.
How does QwQ-32B rank?
QwQ-32B is #514 of 785 ranked configurations on 25 Oct 2026. 302 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
When was QwQ-32B released?
Alibaba released QwQ-32B on 5 Mar 2025. BenchLeader has results for it at 2 reasoning-effort settings.

Data as of 25 Oct 2026. Compare these configurations.

Cite as: BenchLeader, “QwQ-32B: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/qwq-32b.