Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 35.9% higher average benchmark score. Mistral Small 3.1 24B Base offers 26.6K more tokens in context window than DeepSeek-V3.2-Exp. Both models have similar pricing. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K 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.
6 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek-V3.2-Exp
Mistral Small 3.1 24B Base
Context window and performance specifications
Average performance across 17 common benchmarks
DeepSeek-V3.2-Exp
Mistral Small 3.1 24B Base
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Mistral Small 3.1 24B Base
DeepSeek-V3.2-Exp
Mistral Small 3.1 24B Base
DeepSeek-V3.2-Exp
Mistral Small 3.1 24B Base
Mistral AI