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North Mini Code vs MiniMax M2.7 (medium)

The average score is effectively tied at 5.1 vs 5.0. North Mini Code has the lower benchmark cost at $0.000 vs $0.208. North Mini Code is faster at 29.95s vs 43.25s, with pass rates of 18.2% vs 45.5%.

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
#275
Total Output Tokens
147,704
Response Time (avg)
43.25s
Total Cost
$0.208
Recommended model MiniMax M2.7 (medium)

It has the strongest score in this comparison (5.0) and the best overall balance of cost and response time across all 2 models.

Detailed comparison

Metric North Mini Code North Mini Code none Release: 2026-06-18 Free Available MiniMax M2.7 MiniMax M2.7 medium Release: 2026-03-18
Score 5.1 5.0
Rank #274 #275
Reliability 8.7 10.0
Consistency 9.9 6.6
Attempts 60/66 66/66
Tests Correct
Attempt pass rate 18.2% 45.5%
Flaky tests 0 9
Total Runs 60 66
Cost per result 0.000 4.149
Total Cost $0.000 $0.208
Input Price $0.000 / 1M $0.300 / 1M
Output Price $0.000 / 1M $1.200 / 1M
Total Input Tokens 130,501 114,527
Output Tokens 26,786 18,558
Reasoning Tokens 0 129,146
Response Time (avg) 29.95s 43.25s
Response Time (max) 159.85s 196.21s
Response Time (total) 658.83s 908.21s
Parameters 30B total (3B active) 230B total (10B active)
Availability Open source Weights available

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

#275 MiniMax M2.7

medium
Cost
$0.022
Time
22.8s
Tokens
9,250 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
MiniMax M2.7 5.7 9.1 33.3% 0 101.89s 2,961 1,231 38,841

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