// COMPARISON

Qwen3-235B-A22B

A head-to-head benchmark comparison of Qwen3-235B-A22B across 26 evaluations.

The models

Language Open (Restricted)
Params
235B
Context
β€”
Released
Apr 2025

Today, we are excited to announce the release of Qwen3, the latest addition to the Qwen family of large language models. Our flagship model, Qwen3-235B-A22B, ac.

Full Qwen3-235B-A22B specs β†’

Benchmark comparison

Benchmark Qwen3-235B-A22B
code
Codeforces Elo 2,056
LiveCodeBench v5 70.7%
general
AlignBench v1.1 8.94
ArenaHard 96.1%
C-Eval 89.6%
Creative Writing v3 84.6
IFEval 83.4%
LiveBench 77.1
MMLU-Redux 92.7%
MMMLU 84.3%
Multi-IF 71.9
WritingBench 8.03
knowledge
INCLUDE 78.7
math
AIME 2024 86.68%
AIME 2025 81.5%
HMMT February 2025 61.88%
MATH-500 98%
MT-AIME 2024 80.8
Omni-MATH-HARD 56.91%
PolyMath-en 54.7
reasoning
AutoLogi 89
GPQA Diamond 71.1%
Humanity's Last Exam 14.23%
MLogiQA 77.1
ZebraLogic 80.3%
tool-use
BFCL v3 70.8%

Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.

Frequently asked questions

Which of these models is best for coding? β–Ά

Qwen3-235B-A22B has the strongest result on Codeforces Elo among the models compared here. See the code-category rows in the table for the full picture.

How many benchmarks are compared? β–Ά

This comparison covers 26 benchmarks on which at least one of the selected models has a published score.

Where do the benchmark scores come from? β–Ά

Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.

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