Last refreshed 2026-09-24. Next refresh: weekly.
Why use Qwen3.5-9B on Featherless?
Featherless offers Qwen3.5-9B with pay-as-you-go pricing at $0.17/1M input tokens. Featherless is a serverless inference provider for a large catalog of third-party open text-generation models (40,000+).
Compare Qwen3.5-9B across 4 providers to find the best fit for your use caseInput / 1M
$0.17
Output / 1M
$0.25
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export FEATHERLESS_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.featherless.ai/v1",Model ID
Qwen/Qwen3.5-9BRequest example
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.featherless.ai/v1",
api_key=os.environ["FEATHERLESS_API_KEY"],
)
response = client.chat.completions.create(
model="Qwen/Qwen3.5-9B",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "Qwen/Qwen3.5-9B", not the LLMReference slug "qwen3.5-9b".
- Use exact Featherless catalog id in modelProvider.providerModelId (HF-style org/name). Not interchangeable with LLM Reference slugs.
- The examples expect FEATHERLESS_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 |
| Featherless | $0.17 | $0.25 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.17 |
| Output tokens | $0.25 |
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