Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Qwen3-235B-A22B-Instruct-2507

Alibaba

Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

QwQ-32B

Alibaba

QwQ-32B is a language model developed by Alibaba. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

QwQ-32B

Alibaba

2025-03-05

Qwen3-235B-A22B-Instruct-2507

Alibaba

2025-07-22

4 months newer

Average performance across 2 common benchmarks

Qwen3-235B-A22B-Instruct-2507

+8.5%

Average Score:83.1%

QwQ-32B

Average Score:74.6%

Performance comparison across key benchmark categories

Qwen3-235B-A22B-Instruct-2507

math

50.2%

roleplay

+2.3%

75.4%

general

+3.3%

73.7%

code

70.3%

QwQ-32B

math

+40.4%

90.6%

roleplay

73.1%

general

70.4%

code

+3.4%

73.6%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

QwQ-32B

2024-11-28

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Qwen3-235B-A22B-Instruct-2507

0 providers

QwQ-32B

0 providers

Qwen3-235B-A22B-Instruct-2507

+8.5%

Avg Score:83.1%

Providers:0

QwQ-32B

Avg Score:74.6%

Providers:0