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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 8.8% 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 was created as the foundation model in the K2 series, designed to serve as a starting point for fine-tuning and customization. Built to provide strong base capabilities for domain-specific applications, it enables developers to build specialized solutions on Moonshot's architecture.
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Mistral AI
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
3 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Kimi K2 Base
Moonshot AI
2025-07-11
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Kimi K2 Base
Average Score:72.5%(+8.8%)
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Mistral Small 3.1 24B Base
Average Score:63.8%
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:72.5%(+8.8%)
Providers:0
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Mistral Small 3.1 24B Base
Avg Score:63.8%
Providers:1