Comprehensive side-by-side LLM comparison
Pixtral-12B leads with 32.5% higher average benchmark score. Mistral Small 3.1 24B Base offers 119.8K more tokens in context window than Pixtral-12B. Both models have similar pricing. Overall, Pixtral-12B is the stronger choice for coding tasks.
Mistral AI
Mistral Small 3.1 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 62.9% across 5 benchmarks. It excels particularly in MMLU (81.0%), TriviaQA (80.5%), MMMU (59.3%). 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI'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.
6 months newer
Pixtral-12B
Mistral AI
2024-09-17
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Cost per million tokens (USD)
Mistral Small 3.1 24B Base
Pixtral-12B
Context window and performance specifications
Average performance across 15 common benchmarks
Mistral Small 3.1 24B Base
Pixtral-12B
Available providers and their performance metrics
Mistral Small 3.1 24B Base
Mistral AI
Pixtral-12B
Mistral Small 3.1 24B Base
Pixtral-12B
Mistral Small 3.1 24B Base
Pixtral-12B
Mistral AI