- Score
- 7.5 (+2.68 points)
- Total Cost (Current Price)
- $0.000 · 100.0% cheaper
- Response Time (avg)
- 29.38s · 21.0% faster
Summary
Qwen3.5-9B scores 4.9 on AI BENCHY and ranks #365. It has 9.8 reliability, a 18.8% pass rate, $0.041 total cost, and 37.19s average response time.
Recommended alternatives
We recommend choosing one of these models instead:
- Score
- 5.0 (+0.10 points)
- Total Cost (Current Price)
- $0.000 · 100.0% cheaper
- Response Time (avg)
- 5.36s · 85.6% faster
- Score
- 5.1 (+0.21 points)
- Total Cost (Current Price)
- $0.000 · 100.0% cheaper
- Response Time (avg)
- 7.79s · 79.1% faster
Model facts
Researched on 2026-08-12
- Parameters
- 9B
- Architecture
- Dense
- Availability
- Open source
- License
- Apache-2.0
4.9
Consistency
9.7
9.8
$0.041
Total Output Tokens
70,427
Total Input Tokens
307,670
Input Price
$0.100 / 1M
Output Price
$0.150 / 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
1
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.
#365 Qwen3.5-9B
none- Cost
- $0.000
- Time
- 300.0s
- Tokens
- 0 tok
Run history
| Tested on | Score | Reliability | Tests Correct | Total Cost | Compare |
|---|---|---|---|---|---|
| 2026-10-01 01:27 Re-test | 4.9 | 9.8 | $0.041 | Current run | |
| 2026-07-16 22:25 New test added | 5.1 | 10.0 | $0.021 ↑ | Compare | |
| 2026-06-04 13:30 New test added | 4.6 | 10.0 | $0.003 ↓ | Compare | |
| 2026-05-22 00:02 Suite changed | 4.6 | 10.0 | $0.005 | Compare | |
| 2026-05-08 13:28 Suite changed | 4.7 | 10.0 | $0.005 | Compare | |
| 2026-05-08 13:28 Suite changed | 4.7 | 10.0 | $0.005 | Compare | |
| 2026-04-20 17:48 First recorded run | 4.8 | N/A | $0.005 | 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 01:27 · Current run | 69/69 attempts | 4.9 | 9.7 | 9.8 | 4/23 | 1 | 70,427 | 307,670 | $0.041 | 37.19s |
| 2026-07-16 22:25 · New test added | 66/66 attempts | 5.1 | 9.7 | 10.0 | 4/22 | 1 | 37,484 | 144,407 | $0.021 | 19.17s |
| Difference | — | -0.2 | 0.0 | -0.2 | 0 | 0 | +32943 | +163263 | +$0.021 | +18016ms |
Benchmark coverage differs: 69/69 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.
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 | 3.9 | 9.6 | |
| Anti-AI Tricks | 3.1 | 9.9 | |
| Coding | 3.9 | 7.8 | |
| Combined | 3.0 | 10.0 | |
| Data parsing and extraction | 10.0 | 10.0 | |
| Domain specific | 3.0 | 10.0 | |
| General Intelligence | 4.4 | 9.9 | |
| Instructions following | 6.5 | 10.0 | |
| Puzzle Solving | 3.2 | 10.0 | |
| Tool Calling | 10.0 | 10.0 | |
| Trivia | 3.0 | 10.0 |