- Score
- 8.6 (+0.64 points)
- Total Cost (Current Price)
- $0.061 · 94.7% cheaper
- Response Time (avg)
- 7.51s · 93.5% faster
Summary
Qwen3.5-27B scores 7.9 on AI BENCHY and ranks #102. It has 10.0 reliability, a 76.8% pass rate, $1.135 total cost, and 114.73s 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 #13. It uses unusually many reasoning tokens, which can help explain its slower or more expensive runs.
Recommended alternatives
We recommend choosing one of these models instead:
- Score
- 9.4 (+1.43 points)
- Total Cost (Current Price)
- $0.183 · 83.9% cheaper
- Response Time (avg)
- 6.24s · 94.6% faster
- Score
- 8.3 (+0.33 points)
- Total Cost (Current Price)
- $0.047 · 95.9% cheaper
- Response Time (avg)
- 18.07s · 84.3% faster
Model facts
Researched on 2026-08-12
- Parameters
- 27B
- Architecture
- Dense
- Availability
- Open source
- License
- Apache-2.0
7.9
Consistency
7.9
10.0
$1.135
Total Output Tokens
635,288
Total Input Tokens
288,919
Input Price
$0.195 / 1M
Output Price
$1.560 / 1M
Cache Read Price
N/A
Cache Write Price
N/A
Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.
Flaky tests
6
Flaky tests had mixed outcomes across runs (at least one pass and one fail).
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#102 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 |
|---|---|---|---|---|---|
| 2026-10-01 01:06 Re-test | 7.9 | 10.0 | $1.135 | Current run | |
| 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 | Compare | |
| 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
| Run | Benchmark coverage | Score | Consistency | Reliability | Tests Correct | Flaky tests | Total Output Tokens | Total Input Tokens | Total Cost | Response Time (avg) |
|---|---|---|---|---|---|---|---|---|---|---|
| 2026-10-01 01:06 · Current run | 69/69 attempts | 7.9 | 7.9 | 10.0 | 14/23 | 6 | 635,288 | 288,919 | $1.135 | 114.73s |
| 2026-05-22 00:04 · Suite changed | 60/60 attempts | 7.9 | 8.9 | 10.0 | 13/20 | 3 | 314,583 | 0 | $0.607 | 60.85s |
| Difference | — | 0.0 | -1.0 | 0.0 | +1 | +3 | +320705 | +288919 | +$0.529 | +53882ms |
Benchmark coverage differs: 69/69 attempts (Target: 3 repeats per test) versus 60/60 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.
Top Models by Score
Score vs Total Cost
Response Time (avg)
Score vs Response Time (avg)
Total Output Tokens
Score vs Total Output Tokens
Quick Compare
Category Breakdown
| Category | Score | Consistency | Tests Correct |
|---|---|---|---|
| Agentic | 10.0 | 10.0 | |
| Anti-AI Tricks | 8.7 | 7.9 | |
| Coding | 6.2 | 7.1 | |
| Combined | 7.3 | 5.8 | |
| Data parsing and extraction | 10.0 | 10.0 | |
| Domain specific | 5.9 | 7.2 | |
| 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 |