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Kimi K2 0905 vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 24.7% 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.
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Moonshot AI
Kimi K2 was introduced as the second generation of Moonshot's language model family, designed to provide enhanced capabilities across language understanding and generation. Built with architectural improvements and expanded training, it represents a significant advancement in Moonshot's model offerings.
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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.
5 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Kimi K2 0905
Moonshot AI
2025-09-05
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Pricing Comparison
Cost per million tokens (USD)
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Kimi K2 0905
Input:$0.60
Output:$2.50
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($2.70 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Kimi K2 0905
Average Score:82.8%(+24.7%)
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Mistral Small 3.1 24B Base
Average Score:58.2%
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2 0905
2 providers
Novita
ZeroEval
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Mistral Small 3.1 24B Base
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Kimi K2 0905
Avg Score:82.8%(+24.7%)
Providers:2
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Mistral Small 3.1 24B Base
Avg Score:58.2%
Providers:1