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#10

Qwen3.6 Plus Preview

Qwen Release: 2026-04-20 Tested on: 2026-04-11 00:35 qwen/qwen3.6-plus-preview::medium
~397B total (~17B active)MoEClosedEstimated

Summary

Qwen3.6 Plus Preview scores 8.5 on AI BENCHY and ranks #10. It has N/A reliability, a 76.5% pass rate, $0.000 total cost, and 13.94s average response time.

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

Archived model: this model is no longer updated or tested on new tests.

Identity note

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

8.5

Consistency

10.0

Reliability

N/A

Total Output Tokens

78,969

Total Input Tokens

0

Input Price

$0.000 / 1M

Output Price

$0.000 / 1M

Tests Correct

Wrong Tests: 4

Attempt pass rate: 76.5%

Flaky tests

0

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

Response Time (avg)

13.94s

Response Time (max): 43.55s

Response Time (total): 237.01s

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-05-08 15:18 Suite changed 4.9 N/A $0.000 Compare
2026-04-11 00:35 First recorded run 8.5 N/A $0.000 Current run

Run comparison

RunBenchmark coverageScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-04-11 00:35 · First recorded run49/51 attempts8.510.0N/A13/17078,9690$0.00013.94s
2026-05-08 15:18 · Suite changed57/57 attempts4.98.6N/A9/19063,35032,639$0.00015.25s
Difference+3.5+1.4+40+15619-32639$0.000-1305ms

Benchmark coverage differs: 49/51 attempts (Target: 3 repeats per test) versus 57/57 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

Category Breakdown

Category Score Consistency Tests Correct
Anti-AI Tricks 10.0 10.0
Combined 10.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 3.0 10.0
General Intelligence 5.1 10.0
Instructions following 10.0 10.0
Puzzle Solving 10.0 10.0
Tool Calling 10.0 10.0

Compared models