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Kimi K2 Instruct vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 23.7% higher average benchmark score. Kimi K2 Instruct offers 6.1K more tokens in context window than Mistral Small 3.1 24B Base. Mistral Small 3.1 24B Base is $2.47 cheaper per million tokens. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
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Moonshot AI
Kimi K2 Instruct was developed as the instruction-tuned version of Kimi K2, designed to follow user instructions reliably across diverse tasks. Built to serve general-purpose conversational and task-completion applications, it provides Moonshot's accessible interface for language AI.
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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 Instruct
Moonshot AI
2025-07-11
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Pricing Comparison
Cost per million tokens (USD)
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Kimi K2 Instruct
Input:$0.57
Output:$2.30
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($2.47 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Kimi K2 Instruct
Average Score:81.9%(+23.7%)
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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 Instruct
1 providers
Novita
Throughput: 45 tok/s
Latency: 0.95ms
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Mistral Small 3.1 24B Base
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Kimi K2 Instruct
Avg Score:81.9%(+23.7%)
Providers:1
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Mistral Small 3.1 24B Base
Avg Score:58.2%
Providers:1