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AI BENCHY Compare

DeepSeek: DeepSeek V3.2 vs MoonshotAI: Kimi K2.5

Summary

Kimi K2.5 leads on average score with 5.5 vs 5.0. DeepSeek V3.2 has the lower benchmark cost at $0.054 vs $0.127. DeepSeek V3.2 is faster at 18.25s vs 19.15s, with pass rates of 37.9% vs 34.9%.

Recommended modelKimi K2.5It has the strongest score in this comparison (5.5) and the best overall balance of cost and response time across all 2 models.

Last updated at: 2026-07-17

Metric DeepSeek V3.2 DeepSeek V3.2 none Release: 2025-12-01 Kimi K2.5 Kimi K2.5 none Release: 2026-01-27
Score 5.0 5.5
Rank #165 #148
Reliability 10.0 10.0
Consistency 7.7 8.6
Tests Correct
Attempt pass rate 37.9% 34.9%
Flaky tests 6 4
Total Runs 66 66
Cost per result 0.870 1.898
Total Cost $0.054 $0.127
Input Price $0.269 / 1M $0.571 / 1M
Output Price $0.400 / 1M $2.850 / 1M
Total Input Tokens 135,780 89,322
Output Tokens 42,097 26,638
Reasoning Tokens 0 0
Response Time (avg) 18.25s 19.15s
Response Time (max) 115.89s 102.83s
Response Time (total) 401.60s 287.30s

Generation showcase

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#165 DeepSeek V3.2

none
Cost
$0.002
Time
7.0s
Tokens
1,046 tok

#148 MoonshotAI: Kimi K2.5

none
Cost
$0.015
Time
89.1s
Tokens
5,421 tok

Top Models by Score

Score vs Total Cost

Response Time (avg)

Score vs Response Time (avg)

Total Output Tokens

Score vs Total Output Tokens

Category Breakdown

Coding Score Consistency Attempt pass rate Flaky tests Tests Correct Response Time (avg) Input Tokens Output Tokens Reasoning Tokens
DeepSeek V3.2 3.1 6.9 11.1% 1 14.54s 7,279 4,528 0
Kimi K2.5 5.5 10.0 33.3% 0 24.56s 7,311 4,708 0

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