Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 offers 124.9K more tokens in context window than DeepSeek-R1. DeepSeek-R1 is $0.56 cheaper per million tokens. DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It supports a 262K token context window for handling large documents. The model is available through 5 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-R1
DeepSeek
2025-01-20
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
Cost per million tokens (USD)
DeepSeek-R1
Qwen3-235B-A22B-Thinking-2507
Context window and performance specifications
Average performance across 25 common benchmarks
DeepSeek-R1
Qwen3-235B-A22B-Thinking-2507
Available providers and their performance metrics
DeepSeek-R1
DeepInfra
DeepSeek
Fireworks
Together
ZeroEval
DeepSeek-R1
Qwen3-235B-A22B-Thinking-2507
DeepSeek-R1
Qwen3-235B-A22B-Thinking-2507
Qwen3-235B-A22B-Thinking-2507
Novita