Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Instruct-2507 leads with 25.8% higher average benchmark score. DeepSeek-V3.2-Exp offers 81.9K more tokens in context window than Qwen3-235B-A22B-Instruct-2507. Both models have similar pricing. Overall, Qwen3-235B-A22B-Instruct-2507 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba Cloud / Qwen Team. 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 supports a 147K 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.
2 months newer
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek-V3.2-Exp
Qwen3-235B-A22B-Instruct-2507
Context window and performance specifications
Average performance across 34 common benchmarks
DeepSeek-V3.2-Exp
Qwen3-235B-A22B-Instruct-2507
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Qwen3-235B-A22B-Instruct-2507
DeepSeek-V3.2-Exp
Qwen3-235B-A22B-Instruct-2507
DeepSeek-V3.2-Exp
Qwen3-235B-A22B-Instruct-2507
Novita