Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 37.7% higher average benchmark score. DeepSeek VL2 offers 2.6K more tokens in context window than Mistral Small 3.1 24B Base. Mistral Small 3.1 24B Base is $4809.10 cheaper per million tokens. Overall, DeepSeek VL2 is the stronger choice for coding tasks.
DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K 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. 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.
3 months newer
DeepSeek VL2
DeepSeek
2024-12-13
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Cost per million tokens (USD)
DeepSeek VL2
Mistral Small 3.1 24B Base
Context window and performance specifications
Average performance across 18 common benchmarks
DeepSeek VL2
Mistral Small 3.1 24B Base
Available providers and their performance metrics
DeepSeek VL2
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Mistral Small 3.1 24B Base
DeepSeek VL2
Mistral Small 3.1 24B Base
DeepSeek VL2
Mistral Small 3.1 24B Base
Mistral AI