by Google DeepMind

gemma-4-31B-it-turbo.

text open weights workstation 31B params 262K ctx
Cheapest input
$0.12/M
on DeepInfra
Cheapest output
$0.37/M
on DeepInfra
Smallest GPU
1× Nvidia RTX 4000 Ada SFF
$0.17/hr

Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input and generating text output.

Smallest GPU to run it See all quantisations →

1× Nvidia RTX 4000 Ada SFF · $0.17/hr.

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 $0.12 $0.37 Launch ↗
FAQ

Frequently asked.

How do I run gemma-4-31B-it-turbo?
gemma-4-31B-it-turbo 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 gemma-4-31B-it-turbo?
gemma-4-31B-it-turbo is available via DeepInfra. Each access option lists its own pricing (per million tokens or hourly hosting).
How much does it cost to run gemma-4-31B-it-turbo?
API pricing starts at $0.12/M input tokens and $0.37/M output tokens. Self-hosting cost depends on the GPU you rent — see the Run It Yourself tab.
Is gemma-4-31B-it-turbo open-source or proprietary?
gemma-4-31B-it-turbo is open-weight under the license. You can download and self-host it.