Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 8.7% higher average benchmark score. DeepSeek VL2 offers 122.4K more tokens in context window than Pixtral-12B. Pixtral-12B is $4809.20 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-12B is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 66.8% across 12 benchmarks. It excels particularly in DocVQA (90.7%), ChartQA (81.8%), VQAv2 (78.6%). It supports a 136K 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 2024, it represents Mistral AI's latest advancement in AI technology.
2 months newer
Pixtral-12B
Mistral AI
2024-09-17
DeepSeek VL2
DeepSeek
2024-12-13
Cost per million tokens (USD)
DeepSeek VL2
Pixtral-12B
Context window and performance specifications
Average performance across 22 common benchmarks
DeepSeek VL2
Pixtral-12B
Available providers and their performance metrics
DeepSeek VL2
Replicate
Pixtral-12B
DeepSeek VL2
Pixtral-12B
DeepSeek VL2
Pixtral-12B
Mistral AI