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Ling-3.0-flash vs Hy4 preview (low)

Ling-3.0-flash leads on average score with 5.7 vs 5.6. Ling-3.0-flash has the lower benchmark cost at $0.004 vs $1.745. Ling-3.0-flash is faster at 3.56s vs 214.25s, with pass rates of 27.3% vs 19.7%.

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
#243
Total Output Tokens
682,538
Response Time (avg)
214.25s
Total Cost
$1.745
Recommended model Ling-3.0-flash

It has the best score here (5.7), while costing about 511.8x less than Hy4 preview (low).

Detailed comparison

Metric Ling-3.0-flash Ling-3.0-flash none Release: 2026-07-24 Hy4 preview Hy4 preview low Release: 2026-08-29
Score 5.7 5.6
Rank #230 #243
Reliability 10.0 5.4
Consistency 10.0 8.5
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 27.3% 19.7%
Flaky tests 0 3
Total Runs 66 66
Cost per result 0.000 58.157
Total Cost $0.004 $1.745
Input Price $0.021 / 1M $0.834 / 1M
Output Price $0.063 / 1M $2.501 / 1M
Total Input Tokens 123,993 45,154
Output Tokens 12,777 4,022
Reasoning Tokens 0 678,516
Response Time (avg) 3.56s 214.25s
Response Time (max) 17.51s 597.45s
Response Time (total) 74.74s 4713.56s
Parameters 124B total (5.1B active) 770B total (49B 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

#243 Hy4 preview

low
Provider returned error
Cost
$0.000
Time
1.1s
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
Ling-3.0-flash 5.5 10.0 33.3% 0 6.39s 8,307 639 0
Hy4 preview 5.2 8.6 0.0% 0 219.15s 6,110 135 96,407

Quick Compare

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