by Alibaba (Qwen Team)

Qwen3.5-0.8B.

multimodal open weights edge 8B params 262K ctx
Cheapest input
$0.01/M
on DeepInfra
Cheapest output
$0.05/M
on DeepInfra
Smallest GPU
1× Nvidia P102-100

Qwen3.5-0.8B is Alibaba's smallest model in the Qwen3.5 series, featuring a hybrid Gated Delta Networks and sparse Mixture-of-Experts architecture. Despite its compact size, it supports a 262K token context window, 201 l

Smallest GPU to run it See all quantisations →

1× Nvidia P102-100.

Most-aggressive quantisation we have a working recommendation for. Lower precision = less VRAM = cheaper hardware, at a small accuracy cost.

Where to use it

Cheapest hosted endpoints.

Provider Access $/M in $/M out
DeepInfra hosted inference $0.01 $0.05 Launch ↗
FAQ

Frequently asked.

How do I run Qwen3.5-0.8B?
Qwen3.5-0.8B is open-weight, so you can self-host on rented GPUs. See the Run It Yourself tab for GPU configurations + cost estimates, or use one of the hosted inference providers listed on this page.
Where can I access Qwen3.5-0.8B?
Qwen3.5-0.8B is available via Alibaba DashScope, DeepInfra. Each access option lists its own pricing (per million tokens or hourly hosting).
How much does it cost to run Qwen3.5-0.8B?
API pricing starts at $0.01/M input tokens and $0.05/M output tokens. Self-hosting cost depends on the GPU you rent — see the Run It Yourself tab.
Is Qwen3.5-0.8B open-source or proprietary?
Qwen3.5-0.8B is open-weight under the license. You can download and self-host it.