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-Preview
Alibaba
QwQ-32B-Preview is a language model developed by Alibaba. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.
QwQ-32B-Preview
Alibaba
2024-11-28
Qwen3-235B-A22B-Instruct-2507
Alibaba
2025-07-22
7 months newer
Performance Metrics
Context window and performance specifications
Qwen3-235B-A22B-Instruct-2507
QwQ-32B-Preview
Average performance across 1 common benchmarks
Qwen3-235B-A22B-Instruct-2507
QwQ-32B-Preview
Performance comparison across key benchmark categories
Qwen3-235B-A22B-Instruct-2507
QwQ-32B-Preview
QwQ-32B-Preview
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics
Qwen3-235B-A22B-Instruct-2507
QwQ-32B-Preview
Together
Hyperbolic
DeepInfra
Fireworks
Qwen3-235B-A22B-Instruct-2507
QwQ-32B-Preview