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#36

Qwen3.5-Flash

Qwen Release: 2026-02-24 Tested on: 2026-04-11 01:44 qwen/qwen3.5-flash-02-23::medium
~35B total (~3B active)MoEClosedEstimated
(medium) (none)

Summary

Qwen3.5-Flash scores 7.8 on AI BENCHY and ranks #36. It has N/A reliability, a 81.5% pass rate, $0.080 total cost, and 66.72s average response time.

What makes Qwen3.5-Flash unique: Its total benchmark cost is unusually low for its score range.

Model facts

Researched on 2026-08-12

Estimated
Parameters
~35B total (~3B active)
Architecture
MoE
Availability
Closed
License
-

Best estimate from public evidence; the vendor did not disclose every value. Estimate from the nearest released Qwen3.5 Flash-class checkpoint.

Score

7.8

Consistency

7.3

Reliability

N/A

Total Output Tokens

193,972

Total Input Tokens

0

Input Price

$0.065 / 1M

Output Price

$0.260 / 1M

Tests Correct

Wrong Tests: 7

Attempt pass rate: 81.5%

Flaky tests

6

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

Response Time (avg)

66.72s

Response Time (max): 234.29s

Response Time (total): 1201.03s

Hamster playing table tennis

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

#36 Qwen3.5-Flash

medium
Cost
$0.002
Time
25.8s
Tokens
4,294 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 01:52 Re-test 6.1 10.0 $0.142 Compare
2026-07-16 22:15 New test added 6.2 10.0 $0.139 Compare
2026-06-04 13:36 New test added 7.4 8.9 $0.080 Compare
2026-05-21 23:57 Suite changed 7.4 8.3 $0.104 Compare
2026-04-11 01:44 First recorded run 7.8 N/A $0.080 Current run

Run comparison

RunBenchmark coverageScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-04-11 01:44 · First recorded run54/54 attempts7.87.3N/A11/186193,9720$0.08066.72s
2026-08-14 01:52 · Re-test66/66 attempts6.17.810.011/226512,846118,508$0.14284.44s
Difference+1.7-0.500-318874-118508-$0.063-17714ms

Benchmark coverage differs: 54/54 attempts (Target: 3 repeats per test) versus 66/66 attempts (Target: 3 repeats per test). Totals and repeat-sensitive metrics are not directly comparable.

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 10.0 10.0
Coding 4.7 1.6
Combined 10.0 10.0
Data parsing and extraction 7.3 5.9
Domain specific 5.3 7.2
General Intelligence 6.1 3.1
Instructions following 10.0 10.0
Puzzle Solving 6.4 4.4
Tool Calling 10.0 10.0

Compared models