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DeepSeek: DeepSeek V3.2 vs MoonshotAI: Kimi K2.6

Summary

Kimi K2.6 leads on average score with 5.8 vs 5.3. DeepSeek V3.2 has the lower benchmark cost at $0.020 vs $0.097. Kimi K2.6 is faster at 13.27s vs 13.83s, with pass rates of 39.7% vs 36.5%.

Recommended modelKimi K2.6It has the strongest score in this comparison (5.8) and the best overall balance of cost and response time across all 2 models.

Last updated at: 2026-07-16

Metric DeepSeek V3.2 DeepSeek V3.2 none Release: 2025-12-01 Kimi K2.6 Kimi K2.6 none Release: 2026-04-20 Free Available
Score 5.3 5.8
Rank #157 #139
Reliability 10.0 10.0
Consistency 7.6 9.2
Tests Correct
Attempt pass rate 39.7% 36.5%
Flaky tests 6 2
Total Runs 63 63
Cost per result 0.306 1.267
Total Cost $0.020 $0.097
Input Price $0.269 / 1M $0.950 / 1M
Output Price $0.400 / 1M $4.000 / 1M
Total Input Tokens 55,997 32,916
Output Tokens 11,165 16,410
Reasoning Tokens 0 0
Response Time (avg) 13.83s 13.27s
Response Time (max) 115.89s 238.89s
Response Time (total) 290.43s 278.57s

Generation showcase

Hamster playing table tennis

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

#157 DeepSeek V3.2

none
Cost
$0.002
Time
7.0s
Tokens
1,046 tok

#139 MoonshotAI: Kimi K2.6

none
Cost
$0.020
Time
127.4s
Tokens
4,429 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 3.1 6.9 11.1% 1 14.54s 7,279 4,528 0
Kimi K2.6 5.5 9.8 33.3% 0 82.57s 5,986 14,754 0

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