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Mercury 2.5 (high) vs GLM 5.2

GLM 5.2 leads on average score with 6.6 vs 6.5. Mercury 2.5 (high) has the lower benchmark cost at $0.044 vs $0.152. Mercury 2.5 (high) is faster at 7.62s vs 11.27s, with pass rates of 59.4% vs 63.8%.

Last updated at: 2026-10-01

Compared models

Rank
#195
Total Output Tokens
193,676
Response Time (avg)
7.62s
Total Cost
$0.044
Rank
#186
Total Output Tokens
17,685
Response Time (avg)
11.27s
Total Cost
$0.152
Recommended model Mercury 2.5 (high)

Its score stays close to the best score here (6.5 vs 6.6), while costing about 3.5x less than GLM 5.2.

Detailed comparison

Metric Mercury 2.5 Mercury 2.5 high Release: 2026-09-08 GLM 5.2 GLM 5.2 none Release: 2026-06-17
Score 6.5 6.6
Rank #195 #186
Reliability 9.8 10.0
Consistency 8.7 9.0
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 59.4% 63.8%
Flaky tests 4 3
Total Runs 69 69
Cost per result 0.362 1.753
Total Cost $0.044 $0.152
Input Price $0.040 / 1M $0.325 / 1M
Output Price $0.150 / 1M $3.990 / 1M
Total Input Tokens 358,562 247,919
Output Tokens 4,266 17,685
Reasoning Tokens 189,410 0
Response Time (avg) 7.62s 11.27s
Response Time (max) 80.30s 79.65s
Response Time (total) 175.36s 259.32s
Parameters ~100B 744B total (40B active)
Availability Closed Open source

Model generation showcase

Hamster playing table tennis

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

#195 Mercury 2.5

high
Cost
$0.001
Time
3.5s
Tokens
2,447 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
Mercury 2.5 6.4 7.8 44.4% 1 6.58s 7,757 415 44,012
GLM 5.2 3.7 9.5 0.0% 0 7.55s 7,263 1,958 0

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