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DeepSeek V3.2 vs Qwen3.5-9B

Qwen3.5-9B leads on average score with 5.1 vs 5.0. Qwen3.5-9B has the lower benchmark cost at $0.021 vs $0.054. DeepSeek V3.2 is faster at 17.89s vs 19.19s, with pass rates of 36.4% vs 19.7%.

Last updated at: 2026-09-08

Compared models

Rank
#273
Total Output Tokens
42,099
Response Time (avg)
17.89s
Total Cost
$0.054
Rank
#267
Total Output Tokens
37,484
Response Time (avg)
19.19s
Total Cost
$0.021
Recommended model Qwen3.5-9B

It has the best score here (5.1), while costing about 2.7x less than DeepSeek V3.2.

Detailed comparison

Metric DeepSeek V3.2 DeepSeek V3.2 none Release: 2025-12-01 Qwen3.5-9B Qwen3.5-9B none Release: 2026-03-02
Score 5.0 5.1
Rank #273 #267
Reliability 10.0 10.0
Consistency 8.1 9.7
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 36.4% 19.7%
Flaky tests 5 1
Total Runs 66 66
Cost per result 0.870 0.490
Total Cost $0.054 $0.021
Input Price $0.269 / 1M $0.100 / 1M
Output Price $0.400 / 1M $0.150 / 1M
Total Input Tokens 135,831 144,416
Output Tokens 42,099 37,484
Reasoning Tokens 0 0
Response Time (avg) 17.89s 19.19s
Response Time (max) 115.89s 382.06s
Response Time (total) 393.53s 422.25s
Parameters 671B total (37B active) 9B
Availability Open source Open source

Model generation showcase

Hamster playing table tennis

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

#273 DeepSeek V3.2

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

#267 Qwen3.5-9B

none
Reached the allocated time limit (300 seconds) without receiving showcase output.
Cost
$0.000
Time
300.0s
Tokens
0 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
Qwen3.5-9B 3.9 7.8 11.1% 1 5.60s 7,913 1,042 0

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