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Mercury 2.5 (medium) vs GLM 5.1

GLM 5.1 leads on average score with 6.5 vs 6.4. Mercury 2.5 (medium) has the lower benchmark cost at $0.034 vs $0.451. Mercury 2.5 (medium) is faster at 7.74s vs 11.10s, with pass rates of 63.8% vs 47.8%.

Last updated at: 2026-10-05

Compared models

Rank
#212
Total Output Tokens
138,946
Response Time (avg)
7.74s
Total Cost
$0.034
Rank
#203
Total Output Tokens
20,076
Response Time (avg)
11.10s
Total Cost
$0.451
Recommended model Mercury 2.5 (medium)

Its score stays close to the best score here (6.4 vs 6.5), while costing about 13.4x less than GLM 5.1.

Detailed comparison

Metric Mercury 2.5 Mercury 2.5 medium Release: 2026-09-08 GLM 5.1 GLM 5.1 none Release: 2026-04-07
Score 6.4 6.5
Rank #212 #203
Reliability 9.7 10.0
Consistency 8.3 8.2
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 63.8% 47.8%
Flaky tests 5 5
Total Runs 69 69
Cost per result 0.280 3.478
Total Cost $0.034 $0.451
Input Price $0.040 / 1M $1.400 / 1M
Output Price $0.150 / 1M $4.400 / 1M
Cache Read Price $0.004 / 1M $0.260 / 1M
Cache Write Price N/A N/A
Total Input Tokens 317,982 258,956
Output Tokens 3,918 20,076
Reasoning Tokens 135,028 0
Response Time (avg) 7.74s 11.10s
Response Time (max) 107.89s 107.19s
Response Time (total) 178.07s 255.39s
Parameters ~100B 744B total (40B active)
Availability Closed Open source

Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.

Model generation showcase

Hamster playing table tennis

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

#212 Mercury 2.5

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

#203 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 5.0 5.1 44.5% 2 3.70s 7,807 488 21,857
GLM 5.1 3.9 9.7 0.0% 0 4.96s 7,256 525 0

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