All models
Google

Gemma 4 31B IT

✓ Official API· served byDigitalOcean Serverless InferenceDigitalOcean
Try in Playground

Gemma 4 31B IT is Google's instruction-tuned 31B-parameter open model for text tasks, with a 256K-token context and answers of up to 8,192 tokens. It has no reasoning mode and answers directly.

The real Google model

Same weights, same API, same answers. We change only how you pay for it: one key for every maker, one bill, no separate account to open. Every figure on this page comes from Google’s own page — check it.

Maker's own page

Price

input / output · per 1M tokens

DigitalOcean Serverless InferenceDigitalOcean

Official price

$0.18 / $0.50

Context

256,000

up to 8,192 out

8,192 by default here

Modalities

What it would cost you

1000 tokens is roughly 750 English words.

Estimated total$0.61

How it is served

Standard

Requests are retried automatically if a provider is unavailable.

Similar models

Models built for the same kind of work, at a similar price.

We do not mark up the price of tokens. It is the same price the maker charges.

Use it from your code

Model:gemma/gemma-4-31b-it
main.py
OpenAI Specification v1.0
from openai import OpenAI

# Works with the official openai package (pip install openai)
client = OpenAI(
    base_url="https://api.flintbeam.com/v1",
    api_key="sk-live-your-api-key"
)

response = client.chat.completions.create(
    model="gemma/gemma-4-31b-it",
    messages=[
        {"role": "system", "content": "You are an experienced software engineer."},
        {"role": "user", "content": "Describe the architecture of a distributed cache."}
    ],
    temperature=0.7,
    max_tokens=1500
)

print(response.choices[0].message.content)