Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 16.1% higher average benchmark score. DeepSeek-V3.1 offers 71.7K more tokens in context window than Pixtral Large. DeepSeek-V3.1 is $6.73 cheaper per million tokens. Pixtral Large supports multimodal inputs. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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.
1 month newer
Pixtral Large
Mistral AI
2024-11-18
DeepSeek-V3.1
DeepSeek
2025-01-10
Cost per million tokens (USD)
DeepSeek-V3.1
Pixtral Large
Context window and performance specifications
Average performance across 23 common benchmarks
DeepSeek-V3.1
Pixtral Large
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
Pixtral Large
DeepSeek-V3.1
Pixtral Large
DeepSeek-V3.1
Pixtral Large
Mistral AI