Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 17.2% higher average benchmark score. Pixtral Large offers 26.6K more tokens in context window than DeepSeek-V3.2-Exp. DeepSeek-V3.2-Exp is $7.32 cheaper per million tokens. Pixtral Large supports multimodal inputs. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K 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.
10 months newer
Pixtral Large
Mistral AI
2024-11-18
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek-V3.2-Exp
Pixtral Large
Context window and performance specifications
Average performance across 21 common benchmarks
DeepSeek-V3.2-Exp
Pixtral Large
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Pixtral Large
DeepSeek-V3.2-Exp
Pixtral Large
DeepSeek-V3.2-Exp
Pixtral Large
Mistral AI