Comprehensive side-by-side LLM comparison
Pixtral Large leads with 22.7% higher average benchmark score. Mistral Small 3.1 24B Base is $7.60 cheaper per million tokens. Overall, Pixtral Large 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 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.
3 months newer
Pixtral Large
Mistral AI
2024-11-18
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Cost per million tokens (USD)
Mistral Small 3.1 24B Base
Pixtral Large
Context window and performance specifications
Average performance across 11 common benchmarks
Mistral Small 3.1 24B Base
Pixtral Large
Available providers and their performance metrics
Mistral Small 3.1 24B Base
Mistral AI
Pixtral Large
Mistral Small 3.1 24B Base
Pixtral Large
Mistral Small 3.1 24B Base
Pixtral Large
Mistral AI