Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 32.7% higher average benchmark score. DeepSeek-V3.1 offers 71.7K more tokens in context window than Mistral Small 3.1 24B Base. Mistral Small 3.1 24B Base is $0.87 cheaper per million tokens. Mistral Small 3.1 24B Base supports multimodal inputs. 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
Mistral Small 3.1 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 62.9% across 5 benchmarks. It excels particularly in MMLU (81.0%), TriviaQA (80.5%), MMMU (59.3%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
2 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Cost per million tokens (USD)
DeepSeek-V3.1
Mistral Small 3.1 24B Base
Context window and performance specifications
Average performance across 19 common benchmarks
DeepSeek-V3.1
Mistral Small 3.1 24B Base
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
Mistral Small 3.1 24B Base
DeepSeek-V3.1
Mistral Small 3.1 24B Base
DeepSeek-V3.1
Mistral Small 3.1 24B Base
Mistral AI