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#54

Qwen3.5 Plus 2026-02-15

Qwen Release: 2026-02-15 Tested on: 2026-04-11 01:19 qwen/qwen3.5-plus-02-15::none
~397B total (~17B active)MoEClosedEstimated
(medium) (none)

Summary

Qwen3.5 Plus 2026-02-15 scores 6.8 on AI BENCHY and ranks #54. It has N/A reliability, a 53.7% pass rate, $0.017 total cost, and 2.60s average response time.

What makes Qwen3.5 Plus 2026-02-15 unique: It stands out most in Domain specific, where it ranks #3, while Anti-AI Tricks is its weakest area at #18. Its total benchmark cost is unusually low for its score range. It is notably fast compared with similar models.

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 released 397B/A17B family architecture.

Score

6.8

Consistency

9.3

Reliability

N/A

Total Output Tokens

2,461

Total Input Tokens

0

Input Price

$0.260 / 1M

Output Price

$1.560 / 1M

Tests Correct

Wrong Tests: 9

Attempt pass rate: 53.7%

Flaky tests

2

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

Response Time (avg)

2.60s

Response Time (max): 6.65s

Response Time (total): 31.23s

Hamster playing table tennis

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

#54 Qwen3.5 Plus 2026-02-15

none
Cost
$0.012
Time
153.2s
Tokens
7,787 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 01:39 Re-test 6.6 10.0 $0.073 Compare
2026-07-16 21:22 New test added 6.4 10.0 $0.073 Compare
2026-06-04 13:10 New test added 6.3 10.0 $0.016 Compare
2026-05-21 23:45 Suite changed 6.4 10.0 $0.018 Compare
2026-04-11 01:19 First recorded run 6.8 N/A $0.017 Current run

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 4.8 10.0
Coding 6.3 3.7
Combined 3.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 5.3 10.0
General Intelligence 4.4 3.0
Instructions following 10.0 10.0
Puzzle Solving 7.7 10.0
Tool Calling 10.0 10.0

Compared models