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DeepSeek V4 Flash 0423 vs Qwen3.6 27B

Qwen3.6 27B leads on average score with 5.5 vs 5.4. DeepSeek V4 Flash 0423 has the lower benchmark cost at $0.039 vs $0.062. Qwen3.6 27B is faster at 10.62s vs 36.17s, with pass rates of 27.3% vs 45.5%.

Last updated at: 2026-09-04

Rank
#238
Total Output Tokens
100,726
Response Time (avg)
36.17s
Total Cost
$0.039
Rank
#234
Total Output Tokens
16,156
Response Time (avg)
10.62s
Total Cost
$0.062
Recommended model Qwen3.6 27B

It has the best score here (5.5), while responding about 3.4x faster than DeepSeek V4 Flash 0423.

Detailed comparison

Metric DeepSeek V4 Flash 0423 DeepSeek V4 Flash 0423 none Release: 2026-04-24 Qwen3.6 27B Qwen3.6 27B none Release: 2026-04-20
Score 5.4 5.5
Rank #238 #234
Reliability 10.0 10.0
Consistency 8.5 7.6
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 27.3% 45.5%
Flaky tests 4 6
Total Runs 66 66
Cost per result 1.146 1.220
Total Cost $0.039 $0.062
Input Price $0.088 / 1M $0.300 / 1M
Output Price $0.176 / 1M $2.000 / 1M
Total Input Tokens 240,230 95,805
Output Tokens 100,726 16,156
Reasoning Tokens 0 0
Response Time (avg) 36.17s 10.62s
Response Time (max) 247.27s 156.31s
Response Time (total) 795.83s 233.68s
Parameters 284B total (13B active) 27B
Availability Open source Open source

Model generation showcase

Hamster playing table tennis

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

#238 DeepSeek V4 Flash 0423

none
Cost
$0.004
Time
157.6s
Tokens
11,297 tok

#234 Qwen3.6 27B

none
Cost
$0.009
Time
83.0s
Tokens
4,549 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 0423 4.2 7.4 11.1% 1 17.13s 7,279 9,717 0
Qwen3.6 27B 5.5 10.0 33.3% 0 4.16s 7,913 539 0

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