Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME25 (92.3%), WritingBench (88.3%). It supports a 387K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
QwQ-32B
Alibaba Cloud / Qwen Team
QwQ-32B is a language model developed by Alibaba Cloud / Qwen Team. 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 Cloud / Qwen Team's latest advancement in AI technology.
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
4 months newer
Performance Metrics
Context window and performance specifications
Qwen3-235B-A22B-Thinking-2507
QwQ-32B
Average performance across 2 common benchmarks
Qwen3-235B-A22B-Thinking-2507
QwQ-32B
Performance comparison across key benchmark categories
Qwen3-235B-A22B-Thinking-2507
QwQ-32B
QwQ-32B
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics
Qwen3-235B-A22B-Thinking-2507
Novita
QwQ-32B
Qwen3-235B-A22B-Thinking-2507
QwQ-32B