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#26

Qwen3.5-27B

Qwen Release: 2026-02-24 Tested on: 2026-05-22 00:04 qwen/qwen3.5-27b::medium
27BDenseOpen source
(medium) (none)

Summary

Qwen3.5-27B scores 7.9 on AI BENCHY and ranks #26. It has 10.0 reliability, a 73.3% pass rate, $0.607 total cost, and 60.85s average response time.

What makes Qwen3.5-27B unique: It stands out most in Domain specific, where it ranks #4, while Coding is its weakest area at #18.

Model facts

Researched on 2026-08-12

Reported
Parameters
27B
Architecture
Dense
Availability
Open source
License
Apache-2.0

Score

7.9

Consistency

8.9

Total Output Tokens

314,583

Total Input Tokens

0

Input Price

$0.195 / 1M

Output Price

$1.560 / 1M

Tests Correct

Wrong Tests: 7

Attempt pass rate: 73.3%

Flaky tests

3

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

Response Time (avg)

60.85s

Response Time (max): 177.36s

Response Time (total): 1216.93s

Hamster playing table tennis

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

#26 Qwen3.5-27B

medium
Cost
$0.008
Time
62.0s
Tokens
3,099 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 01:58 Re-test 7.5 10.0 $0.982 Compare
2026-07-16 22:51 New test added 7.4 10.0 $0.981 Compare
2026-06-04 13:40 New test added 7.8 10.0 $0.536 Compare
2026-05-22 00:04 Suite changed 7.9 10.0 $0.607 Current run
2026-04-11 01:44 First recorded run 8.4 N/A $0.497 Compare

This run used a different benchmark suite. Keep suite changes in mind when reading historical movement.

Run comparison

RunBenchmark coverageScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-05-22 00:04 · Suite changed60/60 attempts7.98.910.013/203314,5830$0.60760.85s
2026-08-14 01:58 · Re-test66/66 attempts7.57.810.013/226614,909111,644$0.982113.28s
Difference+0.4+1.10.00-3-300326-111644-$0.375-52438ms

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 8.7 7.9
Coding 7.0 9.8
Combined 10.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 5.3 10.0
General Intelligence 6.1 3.1
Instructions following 10.0 10.0
Puzzle Solving 8.2 7.7
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models