Comprehensive side-by-side LLM comparison
Mistral Large 2 leads with 13.8% higher average benchmark score. Mistral Small 3.1 24B Base is $7.60 cheaper per million tokens. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, Mistral Large 2 is the stronger choice for coding tasks.
Mistral AI
Mistral Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
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.
7 months newer
Mistral Large 2
Mistral AI
2024-07-24
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Cost per million tokens (USD)
Mistral Large 2
Mistral Small 3.1 24B Base
Context window and performance specifications
Average performance across 9 common benchmarks
Mistral Large 2
Mistral Small 3.1 24B Base
Available providers and their performance metrics
Mistral Large 2
Mistral AI
Mistral Large 2
Mistral Small 3.1 24B Base
Mistral Large 2
Mistral Small 3.1 24B Base
Mistral Small 3.1 24B Base
Mistral AI