Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 4.7% higher average benchmark score. DeepSeek-V3.2-Exp offers 93.2K more tokens in context window than Pixtral-12B. Both models have similar pricing. Pixtral-12B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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-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.
1 year newer
Pixtral-12B
Mistral AI
2024-09-17
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek-V3.2-Exp
Pixtral-12B
Context window and performance specifications
Average performance across 26 common benchmarks
DeepSeek-V3.2-Exp
Pixtral-12B
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Pixtral-12B
DeepSeek-V3.2-Exp
Pixtral-12B
DeepSeek-V3.2-Exp
Pixtral-12B
Mistral AI