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Ling-3.0-flash vs GLM 5

The average score is effectively tied at 5.7 vs 5.7. Ling-3.0-flash has the lower benchmark cost at $0.004 vs $0.027. Ling-3.0-flash is faster at 3.56s vs 4.03s, with pass rates of 27.3% vs 42.4%.

Last updated at: 2026-09-18

Compared models

Rank
#230
Total Output Tokens
12,777
Response Time (avg)
3.56s
Total Cost
$0.004
Rank
#228
Total Output Tokens
1,989
Response Time (avg)
4.03s
Total Cost
$0.027
Recommended model Ling-3.0-flash

It has the best score here (5.7), while costing about 7.7x less than GLM 5.

Detailed comparison

Metric Ling-3.0-flash Ling-3.0-flash none Release: 2026-07-24 GLM 5 GLM 5 none Release: 2026-02-12
Score 5.7 5.7
Rank #230 #228
Reliability 10.0 10.0
Consistency 10.0 9.3
Attempts 66/66 63/66
Tests Correct
Attempt pass rate 27.3% 42.4%
Flaky tests 0 1
Total Runs 66 63
Cost per result 0.000 0.263
Total Cost $0.004 $0.027
Input Price $0.021 / 1M $0.600 / 1M
Output Price $0.063 / 1M $1.920 / 1M
Total Input Tokens 123,993 37,135
Output Tokens 12,777 1,989
Reasoning Tokens 0 0
Response Time (avg) 3.56s 4.03s
Response Time (max) 17.51s 11.07s
Response Time (total) 74.74s 56.37s
Parameters 124B total (5.1B active) 744B total (40B active)
Availability Open source Open source

Model generation showcase

Hamster playing table tennis

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

#230 Ling-3.0-flash

none
Cost
$0.000
Time
11.6s
Tokens
2,781 tok

#228 GLM 5

none
Cost
$0.007
Time
32.1s
Tokens
2,023 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
Ling-3.0-flash 5.5 10.0 33.3% 0 6.39s 8,307 639 0
GLM 5 4.0 7.8 11.1% 1 5.12s 7,256 428 0

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