Qwen
Qwen
Language model · China ·Jul 2025

Qwen3-235B-A22B-Thinking (Jul 2025)

Language Open (Restricted)
235B
Parameters
41
Benchmarks

About Qwen3-235B-A22B-Thinking (Jul 2025)

Qwen3-235B-A22B-Thinking (Jul 2025) is an AI model developed by Qwen, in the language category, released in 2025, made available as an open-weights model with 235B params.

On this page you'll find Qwen3-235B-A22B-Thinking (Jul 2025)'s full specifications, including 41 benchmark results. Review provider pricing and benchmark scores below, or compare Qwen3-235B-A22B-Thinking (Jul 2025) head-to-head with other language models.

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Sized to what Qwen3-235B-A22B-Thinking (Jul 2025) actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.

Software support

✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.

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Qwen3-235B-A22B-Thinking (Jul 2025) benchmark scores
Benchmark Category Score Variant
Codeforces Elo code 2,055 thinking-rating-cited-ring-1t
LiveCodeBench code 78.2% 2407-2501
LiveCodeBench v5 code 70.7% reasoning
LiveCodeBench v6 code 75.72% thinking-cited-ring-1t
LiveCodeBench v6 code 58.9% reasoning
SciCode code 42.9%
Aider Benchmark coding 88.91 thinking-cited-ring-1t
ArenaHard v2 general 80.18 thinking-win-rate-cited-ring-1t
C-Eval general 93.13% thinking-cited-ring-1t
IFEval general 87.8% thinking-cited-ring-1t
IFEval general 83.4% reasoning
MMLU-Pro general 84.5%
MMLU-Pro general 84.4% thinking-cited-ring-1t
MMLU-Pro general 83% reasoning
MMLU-Redux general 92.7% reasoning
MultiChallenge general 52.75% thinking-cited-ring-1t
AGIEval knowledge 90.01 thinking-cited-ring-1t
CMMLU knowledge 90.64 thinking-cited-ring-1t
TriviaQA knowledge 79.63 thinking-cited-ring-1t
AIME 2024 math 94.1%
AIME 2025 math 92.3% thinking-cited-ring-1t
AIME 2025 math 81.5% reasoning
CNMO 2024 math 89.5% thinking-cited-ring-1t
HMMT February 2025 math 83.9% thinking-cited-ring-1t
HMMT February 2025 math 62.5% reasoning
MATH-500 math 98%
Omni-MATH math 82.52 thinking-cited-ring-1t
UGMathBench math 77 thinking-cited-ring-1t
ARC-AGI-1 reasoning 48.12 thinking-cited-ring-1t
BBEH reasoning 60 thinking-cited-ring-1t
FinanceReasoning reasoning 87.65 thinking-cited-ring-1t
GPQA Diamond reasoning 81.1%
GPQA Diamond reasoning 81.1% thinking-cited-ring-1t
GPQA Diamond reasoning 71.1% reasoning
Humanity's Last Exam reasoning 15.8%
Humanity's Last Exam reasoning 13.95% thinking-cited-ring-1t
ZebraLogic reasoning 97.03% thinking-cited-ring-1t
HealthBench safety 55.56% thinking-cited-ring-1t
PhyBench science 42.61 thinking-cited-ring-1t
BFCL v3 tool-use 73.53% thinking-cited-ring-1t
BFCL v3 tool-use 70.8% reasoning

More models like Qwen3-235B-A22B-Thinking (Jul 2025)

Frequently asked questions

What is Qwen3-235B-A22B-Thinking (Jul 2025)?

Qwen3-235B-A22B-Thinking (Jul 2025) is an AI model developed by Qwen, in the language category, released in 2025. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Qwen3-235B-A22B-Thinking (Jul 2025)?

Qwen3-235B-A22B-Thinking (Jul 2025) was developed by Qwen and released in 2025.

Is Qwen3-235B-A22B-Thinking (Jul 2025) open source or proprietary?

Qwen3-235B-A22B-Thinking (Jul 2025) ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

How much does Qwen3-235B-A22B-Thinking (Jul 2025) cost?

Pricing for Qwen3-235B-A22B-Thinking (Jul 2025) depends on the provider. See the providers table on this page for the latest API rates.

How does Qwen3-235B-A22B-Thinking (Jul 2025) perform on benchmarks?

Qwen3-235B-A22B-Thinking (Jul 2025) is benchmarked across 41 evaluations on GenAIList, including Codeforces Elo (2,055). See the full benchmark table below and compare it with other models.

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