Kimi K2.5 vs o1

Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.

Kimi K2.5 by Moonshot AI wins on 7 of 8 benchmarks against o1 by OpenAI, which leads on 1. 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 o1's 39.7.

Reasoning: In reasoning, Kimi K2.5 scores 84.9% on GPQA Diamond compared to o1's 77.3%.

Context: In context, Kimi K2.5 scores 262K on Context Length compared to o1's 200K.

Pricing Comparison

Kimi K2.5 costs $0.45/1M input tokens and $2.3/1M output tokens, while o1 costs $15.0/1M input and $60.0/1M 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 o1's 35 tok/s, and the time to first token is 1210 ms for Kimi K2.5 versus 1000 ms for o1. Kimi K2.5 delivers faster throughput.

Verdict

Kimi K2.5 leads across the board in affordability, speed, making it the stronger overall choice in this comparison.

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Kimi K2.5 vs o1 — FAQ

Which is better, Kimi K2.5 or o1?

Kimi K2.5 wins on more benchmarks overall (7 vs 1). However, the best choice depends on your specific needs — each model excels in different areas.

How does Kimi K2.5 compare to o1 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 o1?

Yes, Kimi K2.5 is cheaper. Kimi K2.5 costs $0.45/1M input and $2.3/1M output tokens. o1 costs $15.0/1M input and $60.0/1M output tokens.

Which is faster, Kimi K2.5 or o1?

Kimi K2.5 is faster, generating output at 45 tok/s compared to 35 tok/s. Faster output speed means shorter wait times for API responses.

What benchmarks does the Kimi K2.5 vs o1 comparison cover?

This comparison covers 8 benchmarks including GPQA Diamond, Output Speed, Time to First Token, Input Cost, Output Cost, Context Length, AA Coding Index, Cached Input Cost. Metrics span general intelligence, coding, math, reasoning, speed, and cost categories.