Kimi K2.5 vs Mistral Large 25.12
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
Kimi K2.5 by Moonshot AI and Mistral Large 25.12 by Mistral are evenly matched across 9 benchmarks. This head-to-head comparison covers coding, math, reasoning, speed, and pricing metrics from our benchmark data.
Category-by-Category Breakdown
Coding: In coding, Kimi K2.5 scores 46.8 on AA Coding Index compared to Mistral Large 25.12's 20.1, while Kimi K2.5 scores 1228 on Design Arena ELO compared to Mistral Large 25.12's 1117.
Reasoning: In reasoning, Kimi K2.5 scores 84.9% on GPQA Diamond compared to Mistral Large 25.12's 52.0%.
Context: In context, both score 262K on Context Length.
Pricing Comparison
Kimi K2.5 costs $0.45/1M input tokens and $2.3/1M output tokens, while Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output. Kimi K2.5 is the more affordable option for API usage.
Speed Comparison
Kimi K2.5 generates output at 45 tok/s compared to Mistral Large 25.12's 70 tok/s, and the time to first token is 1210 ms for Kimi K2.5 versus 380 ms for Mistral Large 25.12. Mistral Large 25.12 delivers faster throughput.
Verdict
For developers prioritizing affordability, Kimi K2.5 has the edge. For those who value speed, Mistral Large 25.12 is the stronger choice.
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Kimi K2.5 vs Mistral Large 25.12 — FAQ
Which is better, Kimi K2.5 or Mistral Large 25.12?
Kimi K2.5 and Mistral Large 25.12 are evenly matched across benchmarks. The best choice depends on your specific priorities such as coding ability, speed, or pricing.
How does Kimi K2.5 compare to Mistral Large 25.12 for coding?
SWE-bench Verified data is not available for both models. Check the detailed comparison charts above for other coding-related metrics.
Is Kimi K2.5 cheaper than Mistral Large 25.12?
Yes, Kimi K2.5 is cheaper. Kimi K2.5 costs $0.45/1M input and $2.3/1M output tokens. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens.
Which is faster, Kimi K2.5 or Mistral Large 25.12?
Mistral Large 25.12 is faster, generating output at 70 tok/s compared to 45 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the Kimi K2.5 vs Mistral Large 25.12 comparison cover?
This comparison covers 9 benchmarks including GPQA Diamond, Output Speed, Time to First Token, Input Cost, Output Cost, Context Length, AA Coding Index, Cached Input Cost, and more. Metrics span general intelligence, coding, math, reasoning, speed, and cost categories.