Advertise here
#25

Qwen3.6 Flash

Qwen Release: 2026-04-20 Tested on: 2026-04-27 23:06 qwen/qwen3.6-flash::medium
~35B total (~3B active)MoEClosedEstimated
(medium) (none)

Summary

Qwen3.6 Flash scores 8.1 on AI BENCHY and ranks #25. It has 10.0 reliability, a 79.6% pass rate, $0.174 total cost, and 9.90s average response time.

What makes Qwen3.6 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 released Flash-class architecture.

Score

8.1

Consistency

8.2

Total Output Tokens

110,014

Total Input Tokens

0

Input Price

$0.250 / 1M

Output Price

$1.500 / 1M

Tests Correct

Wrong Tests: 6

Attempt pass rate: 79.6%

Flaky tests

4

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

Response Time (avg)

9.90s

Response Time (max): 26.85s

Response Time (total): 178.26s

Hamster playing table tennis

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

#25 Qwen3.6 Flash

medium
Invalid SVG
Cost
$0.008
Time
29.9s
Tokens
6,784 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 01:43 Re-test 6.8 10.0 $0.741 Compare
2026-07-16 21:53 New test added 6.9 10.0 $0.738 Compare
2026-06-04 13:18 New test added 7.5 10.0 $0.288 Compare
2026-05-21 23:53 Suite changed 7.4 9.7 $0.348 Compare
2026-04-27 23:06 Initial run 8.1 10.0 $0.174 Current run

Run comparison

RunBenchmark coverageScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-04-27 23:06 · Initial run54/54 attempts8.18.210.012/184110,0140$0.1749.90s
2026-07-16 21:53 · New test added66/66 attempts6.98.210.012/225634,338129,041$0.73844.65s
Difference+1.30.00.00-1-524324-129041-$0.565-34748ms

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 6.7 3.5
Combined 10.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 3.5 4.4
General Intelligence 4.8 9.9
Instructions following 10.0 10.0
Puzzle Solving 8.2 7.2
Tool Calling 10.0 10.0

Compared models