Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 23.7% higher average benchmark score. Kimi K2 0905 offers 268.3K more tokens in context window than Mistral Small 3.1 24B Base. Mistral Small 3.1 24B Base is $2.70 cheaper per million tokens. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, Kimi K2 0905 is the stronger choice for coding tasks.
Moonshot AI
Kimi K2 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents Moonshot 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.
5 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Kimi K2 0905
Moonshot AI
2025-09-05
Cost per million tokens (USD)
Kimi K2 0905
Mistral Small 3.1 24B Base
Context window and performance specifications
Average performance across 8 common benchmarks
Kimi K2 0905
Mistral Small 3.1 24B Base
Available providers and their performance metrics
Kimi K2 0905
Novita
ZeroEval
Mistral Small 3.1 24B Base
Kimi K2 0905
Mistral Small 3.1 24B Base
Kimi K2 0905
Mistral Small 3.1 24B Base
Mistral AI