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DeepSeek V4 Flash 0731 vs Kimi K2.5

Kimi K2.5 leads on average score with 5.5 vs 5.4. DeepSeek V4 Flash 0731 has the lower benchmark cost at $0.021 vs $0.127. Kimi K2.5 is faster at 19.15s vs 20.70s, with pass rates of 27.3% vs 34.9%.

Last updated at: 2026-08-01

Rank
#182
Total Output Tokens
25,424
Response Time (avg)
20.70s
Total Cost
$0.021
Rank
#176
Total Output Tokens
26,638
Response Time (avg)
19.15s
Total Cost
$0.127
Recommended model DeepSeek V4 Flash 0731

Its score stays close to the best score here (5.4 vs 5.5), while costing about 6.2x less than Kimi K2.5.

Detailed comparison

Metric DeepSeek V4 Flash 0731 DeepSeek V4 Flash 0731 none Release: 2026-08-01 Kimi K2.5 Kimi K2.5 none Release: 2026-01-27
Score 5.4 5.5
Rank #182 #176
Reliability 10.0 10.0
Consistency 8.6 8.6
Tests Correct
Attempt pass rate 27.3% 34.9%
Flaky tests 4 4
Total Runs 66 66
Cost per result 0.509 1.898
Total Cost $0.021 $0.127
Input Price $0.140 / 1M $0.571 / 1M
Output Price $0.280 / 1M $2.850 / 1M
Total Input Tokens 94,557 89,322
Output Tokens 25,424 26,638
Reasoning Tokens 0 0
Response Time (avg) 20.70s 19.15s
Response Time (max) 387.15s 102.83s
Response Time (total) 455.38s 287.30s

Model generation showcase

Hamster playing table tennis

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

#182 DeepSeek V4 Flash 0731

none
Cost
$0.004
Time
198.4s
Tokens
14,316 tok

#176 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 V4 Flash 0731 4.3 10.0 0.0% 0 1.72s 7,275 505 0
Kimi K2.5 5.5 10.0 33.3% 0 24.56s 7,311 4,708 0

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