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#64

Qwen3.5-Flash

Qwen Release: 2026-02-24 Tested on: 2026-04-11 01:19 qwen/qwen3.5-flash-02-23::none
(medium) (none)

Summary

Qwen3.5-Flash scores 6.2 on AI BENCHY and ranks #64. It has N/A reliability, a 46.3% pass rate, $0.006 total cost, and 3.25s average response time.

What makes Qwen3.5-Flash unique: It stands out most in Coding, where it ranks #1, while Instructions following is its weakest area at #15. Its total benchmark cost is unusually low for its score range. It is notably fast compared with similar models.

Score

6.2

Consistency

9.6

Reliability

N/A

Total Output Tokens

4,266

Total Input Tokens

0

Input Price

$0.065 / 1M

Output Price

$0.260 / 1M

Tests Correct

Wrong Tests: 10

Attempt pass rate: 46.3%

Flaky tests

1

Flaky tests had mixed outcomes across runs (at least one pass and one fail).

Response Time (avg)

3.25s

Response Time (max): 13.73s

Response Time (total): 58.44s

Generation showcase

Hamster playing table tennis

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

#64 Qwen3.5-Flash

none
Cost
$0.003
Time
47.4s
Tokens
7,799 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-06-04 13:25 New test added 5.8 10.0 $0.005 Compare
2026-05-21 23:55 Suite changed 5.9 10.0 $0.006 Compare
2026-04-11 01:19 First recorded run 6.2 N/A $0.006 Current run

Run comparison

RunScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-04-11 01:19 · First recorded run6.29.6N/A8/1814,2660$0.0063.25s
2026-06-04 13:25 · New test added5.89.710.08/2114,27646,439$0.0053.58s
Difference+0.4-0.100-10-46439+$0.002-338ms

These two runs used different benchmark suites, so the deltas reflect both model changes and suite changes.

Charts

Choose the first model, then click a second model to open a side-by-side page.

Total Output Tokens

Score vs Total Output Tokens

Quick Compare

Category Breakdown

Category Score Consistency Tests Correct
Anti-AI Tricks 3.5 8.3
Coding 10.0 10.0
Combined 3.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 7.7 10.0
General Intelligence 10.0 10.0
Instructions following 6.3 10.0
Puzzle Solving 3.3 10.0
Tool Calling 10.0 10.0

Compared models