The smallest Qwen3.5 for inexpensive classification, extraction and image processing. Suited to many parallel lightweight requests.
Which GPU does Qwen3.5 0.8B need?
The entry configuration is 1x RTX3080TI, which delivers around 105 tokens per second. For more parallel requests and headroom on speed, go with 1x H200.
How much does Qwen3.5 0.8B cost?
An hour of Qwen3.5 0.8B runs from $0.24 to $8.26 depending on the GPU configuration. Billing is hourly: you pay for server time, not for tokens.
How do I call Qwen3.5 0.8B from my code?
Once deployed you get an OpenAI-compatible endpoint: point any OpenAI client at the base_url you receive and pass qwen3.5:0.8b as the model name. Code written against the OpenAI API needs no changes.
Does the data stay private?
Yes. Qwen3.5 0.8B runs on a dedicated GPU server inside a private loop: requests and responses never reach the model vendor and are not used for training.
What context window and license does Qwen3.5 0.8B have?
Qwen3.5 0.8B holds 32K tokens of context per request and ships under the Apache 2.0 license, so you can use it commercially on your own hosting terms.