#78 Qwen3.6 27B
none- Cost
- $0.009
- Time
- 83.0s
- Tokens
- 4,549 tok
Summary
Qwen3.6 27B scores 5.9 on AI BENCHY and ranks #78. It has 10.0 reliability, a 54.6% pass rate, $0.027 total cost, and 4.19s average response time.
What makes Qwen3.6 27B unique: It stands out most in Coding, where it ranks #1, while Anti-AI Tricks is its weakest area at #13.
5.9
Consistency
6.9
10.0
$0.027
Total Output Tokens
2,924
Total Input Tokens
0
Input Price
$0.500 / 1M
Output Price
$2.000 / 1M
Flaky tests
4
Flaky tests had mixed outcomes across runs (at least one pass and one fail).
Generation showcase
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
Run history
| Tested on | Score | Reliability | Tests Correct | Total Cost | Compare |
|---|---|---|---|---|---|
| 2026-06-04 13:16 New test added | 5.6 | 10.0 | $0.028 ↓ | Compare | |
| 2026-05-21 23:48 Suite changed | 5.8 | 10.0 | $0.032 | Compare | |
| 2026-04-27 21:46 New test added | 6.0 | 10.0 | $0.031 | Compare | |
| 2026-04-27 21:31 First recorded run | 5.9 | 10.0 | $0.027 | Current run |
Run comparison
| Run | Score | Consistency | Reliability | Tests Correct | Flaky tests | Total Output Tokens | Total Input Tokens | Total Cost | Response Time (avg) |
|---|---|---|---|---|---|---|---|---|---|
| 2026-04-27 21:31 · First recorded run | 5.9 | 6.9 | 10.0 | 4/11 | 4 | 2,924 | 0 | $0.027 | 4.19s |
| 2026-04-27 21:46 · New test added | 6.0 | 7.2 | 10.0 | 7/18 | 6 | 3,775 | 0 | $0.031 | 4.00s |
| Difference | -0.1 | -0.3 | 0.0 | -3 | -2 | -851 | 0 | -$0.004 | +186ms |
These two runs used different benchmark suites, so the deltas reflect both model changes and suite changes.
Choose the first model, then click a second model to open a side-by-side page.
| Category | Score | Consistency | Tests Correct |
|---|---|---|---|
| Anti-AI Tricks | 4.0 | 1.6 | |
| Coding | 10.0 | 10.0 | |
| Combined | 3.0 | 10.0 | |
| Data parsing and extraction | 9.9 | 10.0 | |
| Domain specific | 6.5 | 10.0 | |
| General Intelligence | 5.2 | 9.9 | |
| Instructions following | 2.8 | 1.6 | |
| Tool Calling | 9.5 | 10.0 |