Last refreshed 2026-06-15. Next refresh: weekly.
Why use Qwen3.5-9B on Together AI?
Together AI offers Qwen3.5-9B with pay-as-you-go pricing at $0.10/1M input tokens. Together AI is a platform for running open-source and proprietary LLMs with fast serverless and dedicated endpoints at competitive inference pricing.
Compare Qwen3.5-9B across 3 providers to find the best fit for your use caseInput / 1M
$0.10
Output / 1M
$0.15
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install togetherAuth
export TOGETHER_API_KEY=...Call
from together import Together
client = Together() # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
model="qwen3.5-9b",Model ID
qwen3.5-9bRequest example
from together import Together
client = Together() # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
model="qwen3.5-9b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Together uses "organization/model-name" format, e.g. "meta-llama/Llama-4-Scout-17B-16E-Instruct" or "Qwen/QwQ-32B". See the Together model catalog for the exact ID.
- The examples expect TOGETHER_API_KEY; rename it only if your application config maps the new variable.
Compare Qwen3.5-9B Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Together AI | $0.10 | $0.15 |
| OpenRouter | $0.10 | $0.15 |
| Alibaba Cloud PAI-EAS | $0.10 | $0.15 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.10 |
| Output tokens | $0.15 |
Capabilities
VisionMultimodalJSON / Tool useStructured Outputs
About Qwen3.5-9B
Qwen3.5-9B is Alibaba's Qwen3.5 model with multimodal text and image input. It offers a 256K-token context window with weights openly available for self-hosting.
Get Started
Model Specs
Released2026-03-02
Parameters9B
Context262k
ArchitectureDecoder Only