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Mercury 2.5 (high) vs GLM 5.1

The average score is effectively tied at 6.5 vs 6.5. Mercury 2.5 (high) has the lower benchmark cost at $0.044 vs $0.311. Mercury 2.5 (high) is faster at 7.62s vs 11.10s, with pass rates of 59.4% vs 47.8%.

Last updated at: 2026-10-01

Compared models

Rank
#194
Total Output Tokens
193,676
Response Time (avg)
7.62s
Total Cost
$0.044
Rank
#196
Total Output Tokens
20,076
Response Time (avg)
11.10s
Total Cost
$0.311
Recommended model Mercury 2.5 (high)

It has the best score here (6.5), while costing about 7.2x less than GLM 5.1.

Detailed comparison

Metric Mercury 2.5 Mercury 2.5 high Release: 2026-09-08 GLM 5.1 GLM 5.1 none Release: 2026-04-07
Score 6.5 6.5
Rank #194 #196
Reliability 9.8 10.0
Consistency 8.7 8.2
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 59.4% 47.8%
Flaky tests 4 5
Total Runs 69 69
Cost per result 0.362 3.478
Total Cost $0.044 $0.311
Input Price $0.040 / 1M $0.965 / 1M
Output Price $0.150 / 1M $3.032 / 1M
Total Input Tokens 358,562 258,956
Output Tokens 4,266 20,076
Reasoning Tokens 189,410 0
Response Time (avg) 7.62s 11.10s
Response Time (max) 80.30s 107.19s
Response Time (total) 175.36s 255.39s
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.

#194 Mercury 2.5

high
Cost
$0.001
Time
3.5s
Tokens
2,447 tok

#196 GLM 5.1

none
Reached the allocated time limit (300 seconds) without receiving showcase output.
Cost
$0.000
Time
300.0s
Tokens
0 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 5.1 3.9 9.7 0.0% 0 4.96s 7,256 525 0

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