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Mercury 2.5 (high) vs GLM 5.1 (medium)

Mercury 2.5 (high) leads on average score with 7.1 vs 7.0. Mercury 2.5 (high) has the lower benchmark cost at $0.031 vs $0.727. Mercury 2.5 (high) is faster at 4.32s vs 58.80s, with pass rates of 62.1% vs 65.2%.

Last updated at: 2026-09-08

Compared models

Rank
#134
Total Output Tokens
174,547
Response Time (avg)
4.32s
Total Cost
$0.031
Rank
#138
Total Output Tokens
215,889
Response Time (avg)
58.80s
Total Cost
$0.727
Recommended model Mercury 2.5 (high)

It has the best score here (7.1), while costing about 23.4x less than GLM 5.1 (medium).

Detailed comparison

Metric Mercury 2.5 Mercury 2.5 high Release: 2026-09-08 GLM 5.1 GLM 5.1 medium Release: 2026-04-07
Score 7.1 7.0
Rank #134 #138
Reliability 9.7 8.1
Consistency 8.6 8.4
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 62.1% 65.2%
Flaky tests 4 4
Total Runs 66 66
Cost per result 0.259 6.923
Total Cost $0.031 $0.727
Input Price $0.040 / 1M $0.966 / 1M
Output Price $0.150 / 1M $3.036 / 1M
Total Input Tokens 120,068 82,592
Output Tokens 3,402 16,089
Reasoning Tokens 171,145 199,800
Response Time (avg) 4.32s 58.80s
Response Time (max) 23.63s 308.75s
Response Time (total) 95.06s 1234.72s
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.

#134 Mercury 2.5

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

#138 GLM 5.1

medium
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 4.6 3.7 44.5% 2 109.63s 5,702 4,871 37,826

Quick Compare

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