Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base leads with 2.2% higher average benchmark score. Both models have similar pricing. Mistral Small 3.1 24B Base supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek'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.
1 month newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Cost per million tokens (USD)
DeepSeek R1 Distill Qwen 32B
Mistral Small 3.1 24B Base
Context window and performance specifications
Average performance across 8 common benchmarks
DeepSeek R1 Distill Qwen 32B
Mistral Small 3.1 24B Base
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 32B
DeepInfra
Mistral Small 3.1 24B Base
DeepSeek R1 Distill Qwen 32B
Mistral Small 3.1 24B Base
DeepSeek R1 Distill Qwen 32B
Mistral Small 3.1 24B Base
Mistral AI