#106 Qwen3.5-9B
medium- Cost
- $0.001
- Time
- 35.9s
- Tokens
- 3,030 tok
Qwen
Release: 2026-03-02
Tested on: 2026-04-20 17:48
qwen/qwen3.5-9b::medium
9BDenseOpen source
(medium)
(none)
Summary
Qwen3.5-9B scores 4.4 on AI BENCHY and ranks #106. It has N/A reliability, a 33.3% pass rate, $0.030 total cost, and 73.64s average response time.
Model facts
Researched on 2026-08-12
- Parameters
- 9B
- Architecture
- Dense
- Availability
- Open source
- License
- Apache-2.0
4.4
Consistency
7.2
N/A
$0.030
Total Output Tokens
196,888
Total Input Tokens
0
Input Price
$0.100 / 1M
Output Price
$0.150 / 1M
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.
Run history
| Tested on | Score | Reliability | Tests Correct | Total Cost | Compare |
|---|---|---|---|---|---|
| 2026-08-14 02:23 Re-test | 3.8 | 6.0 | $0.062 ↑ | Compare | |
| 2026-07-16 23:12 New test added | 3.8 | 5.0 | $0.036 ↑ | Compare | |
| 2026-06-04 13:41 New test added | 4.2 | 5.6 | $0.035 ↓ | Compare | |
| 2026-05-22 00:18 Suite changed | 4.2 | 1.7 | $0.035 | Compare | |
| 2026-05-08 14:44 Suite changed | 4.3 | 3.3 | $0.035 | Compare | |
| 2026-05-08 14:44 Suite changed | 4.3 | 3.3 | $0.035 | Compare | |
| 2026-04-20 17:48 First recorded run | 4.4 | N/A | $0.030 | Current run |
Run comparison
| Run | Benchmark coverage | Score | Consistency | Reliability | Tests Correct | Flaky tests | Total Output Tokens | Total Input Tokens | Total Cost | Response Time (avg) |
|---|---|---|---|---|---|---|---|---|---|---|
| 2026-04-20 17:48 · First recorded run | 54/54 attempts | 4.4 | 7.2 | N/A | 3/18 | 6 | 196,888 | 0 | $0.030 | 73.64s |
| 2026-05-08 14:44 · Suite changed | 57/57 attempts | 4.3 | 6.9 | 3.3 | 3/19 | 7 | 229,656 | 0 | $0.035 | 80.10s |
| Difference | — | +0.1 | +0.3 | 0 | -1 | -32768 | 0 | -$0.005 | -6461ms |
Benchmark coverage differs: 54/54 attempts (Target: 3 repeats per test) versus 57/57 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
Qwen3.5-9BmediumvsLing 3.0 TinylowQwen3.5-9BmediumvsLing 3.0 TinymediumQwen3.5-9BmediumvsLing 3.0 TinyhighQwen3.5-9Bmediumvsgpt-oss-120bnoneFree AvailableQwen3.5-9BmediumvsMercury 2.5noneQwen3.5-9BmediumvsNemotron 3.5 LightningnoneFree AvailableQwen3.5-9BmediumvsGranite 4.1 8BnoneQwen3.5-9BmediumvsLing 3.0 TinynoneQwen3.5-9BmediumvsGrok 4.20noneQwen3.5-9BmediumvsGranite 4.2 8Bnone
Category Breakdown
| Category | Score | Consistency | Tests Correct |
|---|---|---|---|
| Anti-AI Tricks | 5.1 | 5.8 | |
| Coding | 2.6 | 10.0 | |
| Combined | 3.0 | 10.0 | |
| Data parsing and extraction | 3.6 | 5.6 | |
| Domain specific | 3.6 | 7.2 | |
| General Intelligence | 2.8 | 1.6 | |
| Instructions following | 6.4 | 5.8 | |
| Puzzle Solving | 3.1 | 10.0 | |
| Tool Calling | 10.0 | 10.0 |