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DeepSeek V3.2 vs GPT-4o-mini

The average score is effectively tied at 5.0 vs 5.0. GPT-4o-mini has the lower benchmark cost at $0.010 vs $0.054. GPT-4o-mini is faster at 1.92s vs 17.89s, with pass rates of 36.4% vs 22.7%.

Last updated at: 2026-08-15

Rank
#242
Total Output Tokens
42,099
Response Time (avg)
17.89s
Total Cost
$0.054
Rank
#243
Total Output Tokens
2,913
Response Time (avg)
1.92s
Total Cost
$0.010
Recommended model GPT-4o-mini

It has the best score here (5.0), while costing about 5.5x less than DeepSeek V3.2.

Detailed comparison

Metric DeepSeek V3.2 DeepSeek V3.2 none Release: 2025-12-01 GPT-4o-mini GPT-4o-mini none Release: 2024-07-18
Score 5.0 5.0
Rank #242 #243
Reliability 10.0 10.0
Consistency 8.1 9.9
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 36.4% 22.7%
Flaky tests 5 0
Total Runs 66 66
Cost per result 0.870 0.195
Total Cost $0.054 $0.010
Input Price $0.269 / 1M $0.150 / 1M
Output Price $0.400 / 1M $0.600 / 1M
Total Input Tokens 135,831 53,145
Output Tokens 42,099 2,913
Reasoning Tokens 0 0
Response Time (avg) 17.89s 1.92s
Response Time (max) 115.89s 7.58s
Response Time (total) 393.53s 30.71s
Parameters 671B total (37B active) ~8B
Availability Open source Closed

Model generation showcase

Hamster playing table tennis

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

#242 DeepSeek V3.2

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

#243 GPT-4o-mini

none
Cost
$0.001
Time
6.6s
Tokens
742 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
GPT-4o-mini 3.2 9.6 0.0% 0 1.63s 7,314 367 0

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