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DeepSeek V4 Pro vs Kimi K2.5 (medium)

Kimi K2.5 (medium) leads on average score with 7.0 vs 6.8. DeepSeek V4 Pro has the lower benchmark cost at $0.351 vs $0.479. DeepSeek V4 Pro is faster at 11.71s vs 98.19s, with pass rates of 47.0% vs 63.6%.

Last updated at: 2026-08-20

Rank
#133
Total Output Tokens
35,547
Response Time (avg)
11.71s
Total Cost
$0.351
Rank
#123
Total Output Tokens
220,942
Response Time (avg)
98.19s
Total Cost
$0.479
Recommended model DeepSeek V4 Pro

Its score stays close to the best score here (6.8 vs 7.0), while responding about 8.4x faster than Kimi K2.5 (medium).

Detailed comparison

Metric DeepSeek V4 Pro DeepSeek V4 Pro none Release: 2026-04-24 Kimi K2.5 Kimi K2.5 medium Release: 2026-01-27
Score 6.8 7.0
Rank #133 #123
Reliability 10.0 10.0
Consistency 8.6 7.0
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 47.0% 63.6%
Flaky tests 4 8
Total Runs 66 66
Cost per result 1.061 4.849
Total Cost $0.351 $0.479
Input Price $1.600 / 1M $0.450 / 1M
Output Price $3.200 / 1M $2.250 / 1M
Total Input Tokens 148,078 118,496
Output Tokens 35,547 53,522
Reasoning Tokens 0 167,420
Response Time (avg) 11.71s 98.19s
Response Time (max) 119.44s 281.00s
Response Time (total) 257.67s 1571.05s
Parameters 1.6T total (49B active) 1T total (32B active)
Availability Open source Weights available

Model generation showcase

Hamster playing table tennis

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

#133 DeepSeek V4 Pro

none
Invalid SVG
Cost
$0.000
Time
300.0s
Tokens
0 tok

#123 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 V4 Pro 5.6 10.0 33.3% 0 13.38s 7,275 5,500 0
Kimi K2.5 6.1 4.6 66.7% 2 217.49s 6,935 5,705 74,693

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