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DeepSeek V4.1 Flash vs Kimi K2.5

DeepSeek V4.1 Flash leads on average score with 5.4 vs 5.4. Kimi K2.5 has the lower benchmark cost at $0.101 vs $0.185. DeepSeek V4.1 Flash is faster at 14.85s vs 18.03s, with pass rates of 34.9% vs 30.3%.

Last updated at: 2026-09-10

Compared models

Rank
#248
Total Output Tokens
273,780
Response Time (avg)
14.85s
Total Cost
$0.185
Rank
#253
Total Output Tokens
26,643
Response Time (avg)
18.03s
Total Cost
$0.101
Recommended model Kimi K2.5

Its score stays close to the best score here (5.4 vs 5.4), while costing about 1.8x less than DeepSeek V4.1 Flash.

Detailed comparison

Metric DeepSeek V4.1 Flash DeepSeek V4.1 Flash none Release: 2026-09-10 Kimi K2.5 Kimi K2.5 none Release: 2026-01-27
Score 5.4 5.4
Rank #248 #253
Reliability 9.6 10.0
Consistency 9.3 8.6
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 34.9% 30.3%
Flaky tests 2 4
Total Runs 66 66
Cost per result 2.642 2.278
Total Cost $0.185 $0.101
Input Price $0.150 / 1M $0.450 / 1M
Output Price $0.600 / 1M $2.250 / 1M
Total Input Tokens 137,687 89,320
Output Tokens 273,780 26,643
Reasoning Tokens 0 0
Response Time (avg) 14.85s 18.03s
Response Time (max) 247.66s 102.83s
Response Time (total) 326.72s 288.42s
Parameters 748B total (16B 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.

#248 DeepSeek V4.1 Flash

none
Cost
$0.021
Time
55.4s
Tokens
17,181 tok

#253 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 V4.1 Flash 5.5 10.0 33.3% 0 83.66s 7,284 263,438 0
Kimi K2.5 5.5 10.0 33.3% 0 24.56s 7,311 4,708 0

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