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DeepSeek V4 Pro (high) vs Kimi K2.5 (medium)

DeepSeek V4 Pro (high) leads on average score with 7.7 vs 7.0. Kimi K2.5 (medium) has the lower benchmark cost at $0.479 vs $0.761. DeepSeek V4 Pro (high) is faster at 92.50s vs 98.19s, with pass rates of 63.6% vs 63.6%.

Last updated at: 2026-08-20

Rank
#75
Total Output Tokens
209,444
Response Time (avg)
92.50s
Total Cost
$0.761
Rank
#123
Total Output Tokens
220,942
Response Time (avg)
98.19s
Total Cost
$0.479
Recommended model DeepSeek V4 Pro (high)

It has the strongest score in this comparison (7.7) and the best overall balance of cost and response time across all 2 models.

Detailed comparison

Metric DeepSeek V4 Pro DeepSeek V4 Pro high Release: 2026-04-24 Kimi K2.5 Kimi K2.5 medium Release: 2026-01-27
Score 7.7 7.0
Rank #75 #123
Reliability 10.0 10.0
Consistency 7.7 7.0
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 63.6% 63.6%
Flaky tests 6 8
Total Runs 66 66
Cost per result 2.251 4.849
Total Cost $0.761 $0.479
Input Price $1.600 / 1M $0.450 / 1M
Output Price $3.200 / 1M $2.250 / 1M
Total Input Tokens 90,757 118,496
Output Tokens 22,928 53,522
Reasoning Tokens 186,516 167,420
Response Time (avg) 92.50s 98.19s
Response Time (max) 416.76s 281.00s
Response Time (total) 2035.01s 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.

#75 DeepSeek V4 Pro

high
Cost
$0.023
Time
257.6s
Tokens
14,870 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 6.3 8.7 33.3% 0 243.00s 5,090 383 84,580
Kimi K2.5 6.1 4.6 66.7% 2 217.49s 6,935 5,705 74,693

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