Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V3.1
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%). The model shows particular specialization in factuality tasks with an average performance of 92.6%. 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.
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-V3.1
DeepSeek
2025-01-10
Magistral Small 2506
Mistral AI
2025-06-10
5 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-V3.1
Magistral Small 2506
Average performance across 3 common benchmarks
DeepSeek-V3.1
Magistral Small 2506
Performance comparison across key benchmark categories
DeepSeek-V3.1
Magistral Small 2506
Magistral Small 2506
2025-06-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
Magistral Small 2506
DeepSeek-V3.1
Magistral Small 2506