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Kimi K2 Base vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 41.8% higher average benchmark score. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, Kimi K2 Base is the stronger choice for coding tasks.
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Moonshot AI
Kimi K2 Base is a language model developed by Moonshot AI. It achieves strong performance with an average score of 69.2% across 13 benchmarks. It excels particularly in C-Eval (92.5%), GSM8k (92.1%), MMLU-redux-2.0 (90.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
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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.
3 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Kimi K2 Base
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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Kimi K2 Base
Average Score:64.2%(+41.8%)
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Mistral Small 3.1 24B Base
Average Score:22.5%
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2 Base
0 providers
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Mistral Small 3.1 24B Base
1 providers
Mistral AI
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Kimi K2 Base
Avg Score:64.2%(+41.8%)
Providers:0
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Mistral Small 3.1 24B Base
Avg Score:22.5%
Providers:1