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

The average score is effectively tied at 7.0 vs 7.0. DeepSeek V3.2 (medium) has the lower benchmark cost at $0.078 vs $0.600. DeepSeek V3.2 (medium) is faster at 68.62s vs 99.00s, with pass rates of 65.2% vs 65.2%.

Recommended modelDeepSeek V3.2 (medium)It has the best score here (7.0), while costing about 7.8x less than Kimi K2.5 (medium).

Last updated at: 2026-07-17

Metric DeepSeek V3.2 DeepSeek V3.2 medium Release: 2025-12-01 Kimi K2.5 Kimi K2.5 medium Release: 2026-01-27
Score 7.0 7.0
Rank #73 #74
Reliability 10.0 10.0
Consistency 7.4 7.0
Tests Correct
Attempt pass rate 65.2% 65.2%
Flaky tests 7 8
Total Runs 66 66
Cost per result 0.671 4.789
Total Cost $0.078 $0.600
Input Price $0.269 / 1M $0.571 / 1M
Output Price $0.400 / 1M $2.850 / 1M
Total Input Tokens 101,047 118,448
Output Tokens 11,834 62,124
Reasoning Tokens 117,014 165,243
Response Time (avg) 68.62s 99.00s
Response Time (max) 376.10s 281.00s
Response Time (total) 1509.53s 1485.04s

Hamster playing table tennis

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

#73 DeepSeek V3.2

medium
Cost
$0.001
Time
53.6s
Tokens
1,932 tok

#74 MoonshotAI: Kimi K2.5

medium
Cost
$0.030
Time
58.6s
Tokens
8,683 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 6.0 7.2 55.6% 1 248.68s 5,717 649 52,014
Kimi K2.5 6.1 4.6 66.7% 2 217.49s 6,935 5,705 74,693

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