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DeepSeek V4.1 Flash (medium) vs Qwen3.8 27B (high)

DeepSeek V4.1 Flash (medium) leads on average score with 8.5 vs 8.4. DeepSeek V4.1 Flash (medium) has the lower benchmark cost at $0.272 vs ~$0.287. DeepSeek V4.1 Flash (medium) is faster at 32.22s vs 167.89s, with pass rates of 72.7% vs 77.3%.

Last updated at: 2026-09-10

Compared models

Rank
#53
Total Output Tokens
430,816
Response Time (avg)
32.22s
Total Cost
$0.272
Rank
#59
Total Output Tokens
656,635
Response Time (avg)
167.89s
Total Cost
~$0.287
Recommended model DeepSeek V4.1 Flash (medium)

It has the best score here (8.5), while responding about 5.2x faster than Qwen3.8 27B (high).

Detailed comparison

Metric DeepSeek V4.1 Flash DeepSeek V4.1 Flash medium Release: 2026-09-10 Qwen3.8 27B Qwen3.8 27B high Release: 2026-08-14
Score 8.5 8.4
Rank #53 #59
Reliability 9.5 9.6
Consistency 9.3 9.2
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 72.7% 77.3%
Flaky tests 2 2
Total Runs 66 66
Cost per result 1.812 ~1.792
Total Cost $0.272 ~$0.287
Input Price $0.150 / 1M N/A
Output Price $0.600 / 1M N/A
Total Input Tokens 88,508 100,179
Output Tokens 5,410 904
Reasoning Tokens 425,406 655,731
Response Time (avg) 32.22s 167.89s
Response Time (max) 276.31s 640.85s
Response Time (total) 708.76s 3693.54s
Parameters 748B total (16B active) 27.3B
Availability Open source Weights available

Model generation showcase

Hamster playing table tennis

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

#53 DeepSeek V4.1 Flash

medium
Cost
$0.014
Time
34.7s
Tokens
11,541 tok

#59 Qwen3.8 27B

high
Cost
~$0.008
Time
270.1s
Tokens
18,963 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 10.0 10.0 100.0% 0 34.45s 7,509 396 71,345
Qwen3.8 27B 8.1 7.0 88.9% 1 248.62s 8,235 346 143,335

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