Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 55.1% higher average benchmark score. DeepSeek-V3.1 offers 71.7K more tokens in context window than Devstral Small 1.1. Devstral Small 1.1 is $0.87 cheaper per million tokens. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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%). 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.
Mistral AI
Devstral Small 1.1 is a language model developed by Mistral AI. The model shows competitive results across 1 benchmarks. Notable strengths include SWE-Bench Verified (53.6%). It supports a 256K 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 Mistral AI's latest advancement in AI technology.
6 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
Devstral Small 1.1
Mistral AI
2025-07-11
Cost per million tokens (USD)
DeepSeek-V3.1
Devstral Small 1.1
Context window and performance specifications
Average performance across 15 common benchmarks
DeepSeek-V3.1
Devstral Small 1.1
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
Devstral Small 1.1
DeepSeek-V3.1
Devstral Small 1.1
DeepSeek-V3.1
Devstral Small 1.1
Mistral AI