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MiniMax M3 (medium) vs GLM 5.2

The average score is effectively tied at 6.7 vs 6.6. GLM 5.2 has the lower benchmark cost at $0.152 vs $0.372. GLM 5.2 is faster at 11.27s vs 77.03s, with pass rates of 59.4% vs 63.8%.

Last updated at: 2026-10-01

Compared models

Rank
#180
Total Output Tokens
324,934
Response Time (avg)
77.03s
Total Cost
$0.372
Rank
#186
Total Output Tokens
17,685
Response Time (avg)
11.27s
Total Cost
$0.152
Recommended model GLM 5.2

It has the best score here (6.6), while costing about 2.5x less than MiniMax M3 (medium).

Detailed comparison

Metric MiniMax M3 MiniMax M3 medium Release: 2026-06-01 GLM 5.2 GLM 5.2 none Release: 2026-06-17
Score 6.7 6.6
Rank #180 #186
Reliability 9.7 10.0
Consistency 8.1 9.0
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 59.4% 63.8%
Flaky tests 5 3
Total Runs 69 69
Cost per result 3.381 1.753
Total Cost $0.372 $0.152
Input Price $0.300 / 1M $0.325 / 1M
Output Price $1.200 / 1M $3.990 / 1M
Total Input Tokens 166,517 247,919
Output Tokens 107,386 17,685
Reasoning Tokens 217,548 0
Response Time (avg) 77.03s 11.27s
Response Time (max) 431.03s 79.65s
Response Time (total) 1694.74s 259.32s
Parameters 428B total (23B active) 744B total (40B active)
Availability Weights available Open source

Model generation showcase

Hamster playing table tennis

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

#180 MiniMax M3

medium
Cost
$0.012
Time
154.4s
Tokens
10,018 tok

#186 GLM 5.2

none
Cost
$0.033
Time
87.7s
Tokens
7,455 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
MiniMax M3 6.1 6.5 55.6% 1 144.74s 5,804 6,223 32,667
GLM 5.2 3.7 9.5 0.0% 0 7.55s 7,263 1,958 0

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