Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base leads with 7.7% higher average benchmark score. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, Mistral Small 3.1 24B Base is the stronger choice for coding tasks.
Mistral AI
Magistral Small 2506 is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.2% across 4 benchmarks. Notable strengths include AIME 2024 (70.7%), GPQA (68.2%), AIME 2025 (62.8%). 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
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.
2 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Magistral Small 2506
Mistral AI
2025-06-10
Context window and performance specifications
Average performance across 8 common benchmarks
Magistral Small 2506
Mistral Small 3.1 24B Base
Magistral Small 2506
2025-06-01
Available providers and their performance metrics
Magistral Small 2506
Mistral Small 3.1 24B Base
Mistral AI
Magistral Small 2506
Mistral Small 3.1 24B Base
Magistral Small 2506
Mistral Small 3.1 24B Base