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Ling 3.0 Tiny vs Qwen3.5-9B (medium)

Ling 3.0 Tiny leads on average score with 4.0 vs 3.8. Ling 3.0 Tiny has the lower benchmark cost at $0.000 vs $0.062. Ling 3.0 Tiny is faster at 14.02s vs 107.51s, with pass rates of 9.1% vs 25.8%.

Last updated at: 2026-09-22

Compared models

Rank
#327
Total Output Tokens
110,071
Response Time (avg)
14.02s
Total Cost
$0.000
Rank
#335
Total Output Tokens
413,442
Response Time (avg)
107.51s
Total Cost
$0.062
Recommended model Ling 3.0 Tiny

It has the best score here (4.0), while responding about 7.7x faster than Qwen3.5-9B (medium).

Detailed comparison

Metric Ling 3.0 Tiny Ling 3.0 Tiny none Release: 2026-08-07 Qwen3.5-9B Qwen3.5-9B medium Release: 2026-03-02
Score 4.0 3.8
Rank #327 #335
Reliability 9.8 6.0
Consistency 10.0 8.1
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 9.1% 25.8%
Flaky tests 0 5
Total Runs 66 66
Cost per result 0.000 2.061
Total Cost $0.000 $0.062
Input Price $0.000 / 1M $0.100 / 1M
Output Price $0.000 / 1M $0.150 / 1M
Total Input Tokens 184,579 17,195
Output Tokens 110,071 46,735
Reasoning Tokens 0 366,707
Response Time (avg) 14.02s 107.51s
Response Time (max) 240.61s 569.97s
Response Time (total) 294.46s 1720.15s
Parameters 7.9B total (1.3B active) 9B
Availability Open source Open source

Model generation showcase

Hamster playing table tennis

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

#327 Ling 3.0 Tiny

none
No output was saved. The original provider response or failure reason is unavailable.
Cost
$0.000
Time
334.1s
Tokens
32,913 tok

#335 Qwen3.5-9B

medium
Cost
$0.001
Time
35.9s
Tokens
3,030 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 Tiny 4.2 10.0 0.0% 0 1.19s 8,307 798 0
Qwen3.5-9B 2.9 10.0 0.0% 0 100.88s 2,396 7,890 41,129

Quick Compare

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