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MiniMax M2.5 (medium) vs GLM 4.7 Flash (medium)

MiniMax M2.5 (medium) leads on average score with 4.6 vs 4.3. GLM 4.7 Flash (medium) has the lower benchmark cost at $0.168 vs $0.272. MiniMax M2.5 (medium) is faster at 69.08s vs 134.34s, with pass rates of 43.9% vs 31.8%.

Last updated at: 2026-08-15

Rank
#261
Total Output Tokens
272,229
Response Time (avg)
69.08s
Total Cost
$0.272
Rank
#266
Total Output Tokens
419,534
Response Time (avg)
134.34s
Total Cost
$0.168
Recommended model MiniMax M2.5 (medium)

It has the best score here (4.6), while responding about 1.9x faster than GLM 4.7 Flash (medium).

Detailed comparison

Metric MiniMax M2.5 MiniMax M2.5 medium Release: 2026-02-12 GLM 4.7 Flash GLM 4.7 Flash medium Release: 2026-01-19
Score 4.6 4.3
Rank #261 #266
Reliability 10.0 8.6
Consistency 6.6 7.0
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 43.9% 31.8%
Flaky tests 9 8
Total Runs 66 66
Cost per result 6.463 4.180
Total Cost $0.272 $0.168
Input Price $0.220 / 1M $0.060 / 1M
Output Price $0.900 / 1M $0.400 / 1M
Total Input Tokens 142,621 79,104
Output Tokens 20,409 42,254
Reasoning Tokens 251,820 377,280
Response Time (avg) 69.08s 134.34s
Response Time (max) 251.36s 1539.97s
Response Time (total) 1036.24s 2015.13s
Parameters 230B total (10B active) 30B total (3B 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.

#261 MiniMax M2.5

medium
Invalid SVG
Cost
$0.000
Time
300.0s
Tokens
0 tok

#266 GLM 4.7 Flash

medium
Invalid SVG
Cost
$0.000
Time
186.2s
Tokens
12,112 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 M2.5 3.4 9.1 0.0% 0 188.58s 6,076 357 106,177
GLM 4.7 Flash 3.2 7.4 11.1% 1 55.33s 3,106 4,981 22,387

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