Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 26.8% higher average benchmark score. DeepSeek VL2 offers 2.6K more tokens in context window than Pixtral Large. Pixtral Large is $4801.50 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
Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). 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. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
25 days newer
Pixtral Large
Mistral AI
2024-11-18
DeepSeek VL2
DeepSeek
2024-12-13
Cost per million tokens (USD)
DeepSeek VL2
Pixtral Large
Context window and performance specifications
Average performance across 16 common benchmarks
DeepSeek VL2
Pixtral Large
Available providers and their performance metrics
DeepSeek VL2
Replicate
Pixtral Large
DeepSeek VL2
Pixtral Large
DeepSeek VL2
Pixtral Large
Mistral AI