Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have their strengths depending on your specific coding needs.
Mistral AI
Magistral Medium is a multimodal language model developed by Mistral AI. The model shows competitive results across 6 benchmarks. Notable strengths include AIME 2024 (73.6%), GPQA (70.8%), AIME 2025 (64.9%). 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
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 Medium
Mistral AI
2025-06-10
Context window and performance specifications
Average performance across 10 common benchmarks
Magistral Medium
Mistral Small 3.1 24B Base
Magistral Medium
2025-06-01
Available providers and their performance metrics
Magistral Medium
Mistral Small 3.1 24B Base
Mistral AI
Magistral Medium
Mistral Small 3.1 24B Base
Magistral Medium
Mistral Small 3.1 24B Base