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Cobuddy (medium) vs GLM 4.7 Flash

GLM 4.7 Flash leads on average score with 4.8 vs 4.7. Cobuddy (medium) has the lower benchmark cost at $0.000 vs $0.016. GLM 4.7 Flash is faster at 8.81s vs 39.90s, with pass rates of 45.5% vs 30.3%.

Last updated at: 2026-09-18

Compared models

Rank
#297
Total Output Tokens
118,380
Response Time (avg)
39.90s
Total Cost
$0.000
Rank
#292
Total Output Tokens
22,992
Response Time (avg)
8.81s
Total Cost
$0.016
Recommended model GLM 4.7 Flash

It has the best score here (4.8), while responding about 4.5x faster than Cobuddy (medium).

Detailed comparison

Metric Cobuddy Cobuddy medium Release: 2026-05-06 GLM 4.7 Flash GLM 4.7 Flash none Release: 2026-01-19
Score 4.7 4.8
Rank #297 #292
Reliability 10.0 10.0
Consistency 7.2 8.9
Attempts 63/66 66/66
Tests Correct
Attempt pass rate 45.5% 30.3%
Flaky tests 6 3
Total Runs 63 66
Cost per result 0.000 0.307
Total Cost $0.000 $0.016
Input Price $0.000 / 1M $0.061 / 1M
Output Price $0.000 / 1M $0.400 / 1M
Total Input Tokens 37,449 101,513
Output Tokens 1,677 22,992
Reasoning Tokens 116,703 0
Response Time (avg) 39.90s 8.81s
Response Time (max) 309.02s 97.15s
Response Time (total) 797.98s 140.88s
Parameters ~21B total (~3B active) 30B total (3B active)
Availability Closed Open source

Model generation showcase

Hamster playing table tennis

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

#297 Cobuddy

medium
No endpoints found for baidu/cobuddy:free.
Cost
$0.000
Time
0.1s
Tokens
0 tok

#292 GLM 4.7 Flash

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
Cobuddy 3.7 6.7 22.2% 1 79.17s 4,726 358 30,138
GLM 4.7 Flash 4.3 10.0 0.0% 0 2.54s 7,256 650 0

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