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.
Magistral Small 2506
Mistral AI
Magistral Small 2506 is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.2% across 4 benchmarks. Notable strengths include AIME 2024 (70.7%), GPQA (68.2%), AIME 2025 (62.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
DeepSeek-R1
DeepSeek
2025-01-20
Magistral Small 2506
Mistral AI
2025-06-10
4 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-R1
Magistral Small 2506
Average performance across 3 common benchmarks
DeepSeek-R1
Magistral Small 2506
Performance comparison across key benchmark categories
DeepSeek-R1
Magistral Small 2506
Magistral Small 2506
2025-06-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek
Magistral Small 2506
DeepSeek-R1
Magistral Small 2506