Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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.
DeepSeek-R1
DeepSeek
2025-01-20
Qwen3-235B-A22B-Instruct-2507
Alibaba
2025-07-22
6 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-R1
Qwen3-235B-A22B-Instruct-2507
Average performance across 7 common benchmarks
DeepSeek-R1
Qwen3-235B-A22B-Instruct-2507
Performance comparison across key benchmark categories
DeepSeek-R1
Qwen3-235B-A22B-Instruct-2507
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek
Qwen3-235B-A22B-Instruct-2507
DeepSeek-R1
Qwen3-235B-A22B-Instruct-2507