Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 22.1% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 59.4K more tokens in context window than DeepSeek-V3.1. DeepSeek-V3.1 is $2.03 cheaper per million tokens. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K 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-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%), AIME 2025 (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.
6 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
Cost per million tokens (USD)
DeepSeek-V3.1
Qwen3-235B-A22B-Thinking-2507
Context window and performance specifications
Average performance across 36 common benchmarks
DeepSeek-V3.1
Qwen3-235B-A22B-Thinking-2507
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
Qwen3-235B-A22B-Thinking-2507
DeepSeek-V3.1
Qwen3-235B-A22B-Thinking-2507
DeepSeek-V3.1
Qwen3-235B-A22B-Thinking-2507
Novita