Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 4.7% higher average benchmark score. DeepSeek-V3.1 offers 191.5K more tokens in context window than Pixtral-12B. Pixtral-12B is $0.97 cheaper per million tokens. Pixtral-12B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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-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.
3 months newer
Pixtral-12B
Mistral AI
2024-09-17
DeepSeek-V3.1
DeepSeek
2025-01-10
Cost per million tokens (USD)
DeepSeek-V3.1
Pixtral-12B
Context window and performance specifications
Average performance across 28 common benchmarks
DeepSeek-V3.1
Pixtral-12B
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
Pixtral-12B
DeepSeek-V3.1
Pixtral-12B
DeepSeek-V3.1
Pixtral-12B
Mistral AI