Kimi K2 Thinking vs Mistral Large 25.12
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
Kimi K2 Thinking by Vertex and Mistral Large 25.12 by Mistral are evenly matched across 7 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 Thinking scores 21 on AA Coding Index compared to Mistral Large 25.12's 20.1, while Kimi K2 Thinking scores 1125 on Design Arena ELO compared to Mistral Large 25.12's 1117.
Reasoning: In reasoning, Kimi K2 Thinking scores 83.4% 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 Thinking costs $0.60/1M input tokens and $2.5/1M output tokens, while Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output. Mistral Large 25.12 is the more affordable option for API usage.
Verdict
Mistral Large 25.12 leads across the board in affordability, making it the stronger overall choice in this comparison.
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Kimi K2 Thinking vs Mistral Large 25.12 — FAQ
Which is better, Kimi K2 Thinking or Mistral Large 25.12?
Kimi K2 Thinking 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 Thinking 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 Thinking cheaper than Mistral Large 25.12?
Yes, Mistral Large 25.12 is cheaper. Kimi K2 Thinking costs $0.60/1M input and $2.5/1M output tokens. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens.
Which is faster, Kimi K2 Thinking or Mistral Large 25.12?
Output speed data is not available for both models. Check the speed section of the comparison above for available performance data.
What benchmarks does the Kimi K2 Thinking vs Mistral Large 25.12 comparison cover?
This comparison covers 7 benchmarks including GPQA Diamond, Input Cost, Output Cost, Context Length, AA Coding Index, Cached Input Cost, Design Arena ELO. Metrics span general intelligence, coding, math, reasoning, speed, and cost categories.