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North Mini Code vs DeepSeek V3.2

North Mini Code leads on average score with 5.1 vs 5.0. North Mini Code has the lower benchmark cost at $0.000 vs $0.054. DeepSeek V3.2 is faster at 17.89s vs 29.95s, with pass rates of 18.2% vs 36.4%.

Last updated at: 2026-09-10

Compared models

Rank
#274
Total Output Tokens
26,786
Response Time (avg)
29.95s
Total Cost
$0.000
Rank
#278
Total Output Tokens
42,099
Response Time (avg)
17.89s
Total Cost
$0.054
Recommended model DeepSeek V3.2

Its score stays close to the best score here (5.0 vs 5.1), while responding about 1.7x faster than North Mini Code.

Detailed comparison

Metric North Mini Code North Mini Code none Release: 2026-06-18 Free Available DeepSeek V3.2 DeepSeek V3.2 none Release: 2025-12-01
Score 5.1 5.0
Rank #274 #278
Reliability 8.7 10.0
Consistency 9.9 8.1
Attempts 60/66 66/66
Tests Correct
Attempt pass rate 18.2% 36.4%
Flaky tests 0 5
Total Runs 60 66
Cost per result 0.000 0.870
Total Cost $0.000 $0.054
Input Price $0.000 / 1M $0.269 / 1M
Output Price $0.000 / 1M $0.400 / 1M
Total Input Tokens 130,501 135,831
Output Tokens 26,786 42,099
Reasoning Tokens 0 0
Response Time (avg) 29.95s 17.89s
Response Time (max) 159.85s 115.89s
Response Time (total) 658.83s 393.53s
Parameters 30B total (3B active) 671B total (37B active)
Availability Open source Open source

Model generation showcase

Hamster playing table tennis

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

#274 North Mini Code

none
Cost
$0.000
Time
266.1s
Tokens
63,551 tok

#278 DeepSeek V3.2

none
Cost
$0.002
Time
7.0s
Tokens
1,046 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
North Mini Code 3.9 10.0 0.0% 0 21.96s 7,119 504 0
DeepSeek V3.2 3.1 6.9 11.1% 1 14.54s 7,279 4,528 0

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