Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 39.6% higher average benchmark score. Mistral Small 3.1 24B Base offers 239.6K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. Mistral Small 3.1 24B Base supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, 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.
10 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Cost per million tokens (USD)
DeepSeek-V2.5
Mistral Small 3.1 24B Base
Context window and performance specifications
Average performance across 19 common benchmarks
DeepSeek-V2.5
Mistral Small 3.1 24B Base
Available providers and their performance metrics
DeepSeek-V2.5
DeepInfra
DeepSeek
Hyperbolic
DeepSeek-V2.5
Mistral Small 3.1 24B Base
DeepSeek-V2.5
Mistral Small 3.1 24B Base
Mistral Small 3.1 24B Base
Mistral AI