Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 48.9% higher average benchmark score. Overall, DeepSeek R1 Zero is the stronger choice for coding tasks.
DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Mistral AI
Devstral Medium is a language model developed by Mistral AI. It achieves strong performance with an average score of 61.6% across 1 benchmarks. Notable strengths include SWE-Bench Verified (61.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
5 months newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
Devstral Medium
Mistral AI
2025-07-10
Context window and performance specifications
Average performance across 5 common benchmarks
DeepSeek R1 Zero
Devstral Medium
Available providers and their performance metrics
DeepSeek R1 Zero
Devstral Medium
Mistral AI
DeepSeek R1 Zero
Devstral Medium
DeepSeek R1 Zero
Devstral Medium