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Mercury 2.5 (medium) vs GLM 5.2

The average score is effectively tied at 6.8 vs 6.7. Mercury 2.5 (medium) has the lower benchmark cost at $0.022 vs $0.153. Mercury 2.5 (medium) is faster at 3.19s vs 9.65s, with pass rates of 65.2% vs 63.6%.

Last updated at: 2026-09-08

Compared models

Rank
#157
Total Output Tokens
120,129
Response Time (avg)
3.19s
Total Cost
$0.022
Rank
#160
Total Output Tokens
14,344
Response Time (avg)
9.65s
Total Cost
$0.153
Recommended model Mercury 2.5 (medium)

It has the best score here (6.8), while costing about 7.0x less than GLM 5.2.

Detailed comparison

Metric Mercury 2.5 Mercury 2.5 medium Release: 2026-09-08 GLM 5.2 GLM 5.2 none Release: 2026-06-17
Score 6.8 6.7
Rank #157 #160
Reliability 9.8 10.0
Consistency 8.6 9.2
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 65.2% 63.6%
Flaky tests 4 2
Total Runs 66 66
Cost per result 0.181 1.312
Total Cost $0.022 $0.153
Input Price $0.040 / 1M $0.966 / 1M
Output Price $0.150 / 1M $3.036 / 1M
Total Input Tokens 91,402 112,458
Output Tokens 3,138 14,344
Reasoning Tokens 116,991 0
Response Time (avg) 3.19s 9.65s
Response Time (max) 9.87s 79.65s
Response Time (total) 70.18s 212.38s
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.

#157 Mercury 2.5

medium
Cost
$0.001
Time
3.8s
Tokens
3,386 tok

#160 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 5.0 5.1 44.5% 2 3.70s 7,807 488 21,857
GLM 5.2 3.7 9.5 0.0% 0 7.55s 7,263 1,958 0

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