Context
262K tokens (~131 books)
Input $/1M
$0.10
Output $/1M
$0.15
Type
multimodal
License
Open Source
Benchmarks
3 tested
Data updated today
About
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...
Tested on 3 benchmarks with 0.0% average. Top scores: Artificial Analysis — Agentic Index (37.4%), Artificial Analysis — Quality Index (32.4%), Artificial Analysis — Coding Index (25.3%).
Capabilities
speed
52.9
#34 globally
Benchmark Scores
Compare AllTested on 3 benchmarks · Ranked across 1 categories
Score Distribution (all 233 models)
0255075100
speedCompare speed →
Artificial Analysis — Agentic Index
37.4—Artificial Analysis Agentic Index. Composite score measuring agent capability across tool use and planning tasks.
Artificial Analysis — Quality Index
32.4—Artificial Analysis Quality Index. Composite quality score combining multiple benchmark results into a single metric.
Artificial Analysis — Coding Index
25.3—Artificial Analysis Coding Index. Composite coding quality score from multiple code benchmarks.
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
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BenchGecko API
qwen3-5-9b
Specifications
- Typemultimodal
- Context262K tokens (~131 books)
- ReleasedMar 2026
- LicenseOpen Source
- StatusActive
- Cost / Message~$0.000
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Frequently Asked Questions
Qwen3.5-9B is an open-source multimodal AI model by Alibaba Qwen, released in March 2026. Context window: 262K tokens.