Qwen
Qwen3.5-9B
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.
Qwen3.5-9B is scheduled to be retired on October 21, 2026. Consider Qwen3.8 27B instead.
At a glance
- Input / 1M
- $0.10
- Output / 1M
- $0.15
- Context
- 262K
- Max output
- 33K
- Intelligence
- 13.3
- Released
- Mar 2026
Pricing
Qwen3.5-9B API pricing
Per-token rates, plus what common tasks actually cost.
| Input tokensPer 1M tokens | $0.10 |
|---|---|
| Output tokensPer 1M tokens | $0.15 |
| Cached input (read)Per 1M tokens | Not available |
| Cache writePer 1M tokens | Not available |
Chat message
2K in, 500 out
$0.27
per 1,000 requests
Coding task
30K in, 4K out
$3.60
per 1,000 requests
Long document summary
150K in, 2K out
$15.30
per 1,000 requests
Benchmarks
Qwen3.5-9B benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
13.3
Coding index
23.5
Agentic index
Not available
Specs
Context window and capabilities
What it can read, what it can write, and which API features it supports.
- Context window
- 262K tokens
- Max output
- 33K tokens
- Input types
- Image, Text, Video
- Output types
- Text
- Reasoning effort
- Not available
- Release date
- March 10, 2026
- Tool calling
- Structured outputs
- JSON mode
- Reasoning
- Temperature
- Stop sequences
- Deterministic seed
- Verbosity control
Compare
Qwen3.5-9B vs other models
See how Qwen3.5-9B stacks up head to head on price, benchmarks, and features.
VS
Qwen3.5-9B vs Gemini 2.5 Flash Lite
Qwen vs Google
See comparisonVS
Qwen3.5-9B vs gpt-oss-120b
Qwen vs OpenAI
See comparisonVSQwen3.5-9B vs Gemma 4 31B
Qwen vs Google
See comparisonVSQwen3.5-9B vs Qwen3.7 Flash
Qwen vs Qwen
See comparisonVSQwen3.5-9B vs gpt-oss-20b
Qwen vs OpenAI
See comparisonVSQwen3.5-9B vs GPT-5 Nano
Qwen vs OpenAI
See comparisonAlternatives
Qwen3.5-9B alternatives
Similar models worth considering, and where each one has the edge.
Gemma 4 31B
OpenAI
GPT-5 Nano
NVIDIA
Nemotron 3.5 Lightning
Want to learn about other models? Browse all models
FAQ
Frequently asked questions
How much does Qwen3.5-9B cost?
Qwen3.5-9B costs $0.10 per 1M input tokens and $0.15 per 1M output tokens through the API. A typical chat message costs about $0.27 per 1,000 messages.
What is the context window of Qwen3.5-9B?
Qwen3.5-9B accepts up to 262K tokens of input and can write up to 33K tokens in a single response.
What is the best alternative to Qwen3.5-9B?
Gemma 4 31B from Google is a strong alternative. It offers: higher intelligence score, newer release.
Can I use Qwen3.5-9B alongside other models?
Yes. Shortcut Chat sends one prompt to Qwen3.5-9B and any other models you pick at the same time, so you can compare answers side by side.
Try Qwen3.5-9B next to every other model.
Use Qwen3.5-9B alongside all the other models. Use one at a time, or multiple together. Get the best answer from every AI.