Comprehensive side-by-side LLM comparison
DeepSeek-V3 0324 leads with 4.7% higher average benchmark score. DeepSeek-V3 0324 offers 71.7K more tokens in context window than Mistral Small 3.1 24B Base. Mistral Small 3.1 24B Base is $1.02 cheaper per million tokens. Mistral Small 3.1 24B Base supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). It supports a 328K token context window for handling large documents. The model is available through 1 API provider. 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.
8 days newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
DeepSeek-V3 0324
DeepSeek
2025-03-25
Cost per million tokens (USD)
DeepSeek-V3 0324
Mistral Small 3.1 24B Base
Context window and performance specifications
Average performance across 8 common benchmarks
DeepSeek-V3 0324
Mistral Small 3.1 24B Base
Available providers and their performance metrics
DeepSeek-V3 0324
Novita
Mistral Small 3.1 24B Base
DeepSeek-V3 0324
Mistral Small 3.1 24B Base
DeepSeek-V3 0324
Mistral Small 3.1 24B Base
Mistral AI