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#35

Qwen3.6 Plus

Qwen Release: 2026-04-20 Tested on: 2026-05-22 00:01 qwen/qwen3.6-plus::medium
~397B total (~17B active)MoEClosedEstimated

Summary

Qwen3.6 Plus scores 7.8 on AI BENCHY and ranks #35. It has 10.0 reliability, a 68.3% pass rate, $0.082 total cost, and 26.78s average response time.

What makes Qwen3.6 Plus unique: Its total benchmark cost is unusually low for its score range.

Identity note

Qwen3.6 Plus Preview was the preview version of Qwen3.6 Plus.

Model facts

Researched on 2026-08-12

Estimated
Parameters
~397B total (~17B active)
Architecture
MoE
Availability
Closed
License
-

Best estimate from public evidence; the vendor did not disclose every value. Estimate from the nearest released Plus-class architecture.

Score

7.8

Consistency

9.2

Total Output Tokens

126,760

Total Input Tokens

0

Input Price

$0.325 / 1M

Output Price

$1.950 / 1M

Tests Correct

Wrong Tests: 7

Attempt pass rate: 68.3%

Flaky tests

2

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

Response Time (avg)

26.78s

Response Time (max): 201.68s

Response Time (total): 508.74s

Hamster playing table tennis

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

#35 Qwen3.6 Plus

medium
Cost
$0.024
Time
219.0s
Tokens
12,235 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 01:53 Re-test 7.8 10.0 $0.418 Compare
2026-07-16 21:57 New test added 7.8 10.0 $0.405 Compare
2026-06-04 13:30 New test added 7.9 10.0 $0.294 Compare
2026-05-22 00:01 Re-test 7.8 10.0 $0.082 Current run
2026-04-11 01:44 First recorded run 8.1 N/A $0.000 Compare

Run comparison

RunBenchmark coverageScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-05-22 00:01 · Re-test60/60 attempts7.89.210.013/202126,7600$0.08226.78s
2026-07-16 21:57 · New test added66/66 attempts7.89.310.015/222191,23797,689$0.40543.12s
Difference-0.1-0.10.0-20-64477-97689-$0.323-16345ms

Benchmark coverage differs: 60/60 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 4.1 6.7
Combined 10.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 2.9 7.2
General Intelligence 5.1 10.0
Instructions following 10.0 10.0
Puzzle Solving 10.0 10.0
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models