Gemma 4 31B

google/gemma-4-31b-it

by Google

Input price: $0.14/ M tokens
Output price: $0.4/ M tokens
Context window: 256Ktokens
Max output: 128Ktokens

Gemma 4 31B is engineered to tackle the most demanding enterprise workloads and complex reasoning tasks. With an expansive 256K-token context window, the 31B model can effortlessly ingest entire codebases, and massive sets of images in a single prompt. It boasts state-of-the-art vision-language capabilities, allowing developers to freely interleave text and images. It excels at parsing UI screens, comprehending complex charts, and executing multilingual OCR or handwriting recognition. Combined with native structured Function Calling, robust code generation, and out-of-the-box fluency in 35+ languages, Gemma 4 31B is the ultimate foundation for building sophisticated, autonomous AI agents and heavy-duty multimodal analysis pipelines.

Funktionen

Serverless API

Dokumentation

google/gemma-4-31b-it is available via Novita's serverless API, where you pay per token. There are several ways to call the API, including OpenAI-compatible endpoints with exceptional reasoning performance.

Verfügbare Serverless

Abfragen sofort ausführen, nur für die Nutzung bezahlen

Eingabe$0.14 / M Tokens

Ausgabe$0.4 / M Tokens

API-Schlüssel erhalten
Registrieren Sie sich und erstellen Sie einen Schlüssel, um den Code unten auszuführen. Die API ist OpenAI-kompatibel.
Anmelden API-Schlüssel erhalten

Make your first request

The API is OpenAI-compatible: point any OpenAI SDK at the base URL and pass this model ID.

Base URL: https://api.novita.ai/openai
Model ID: google/gemma-4-31b-it
API Endpoint: chat/completions

1from openai import OpenAI
2
3client = OpenAI(
4    api_key="<Your API Key>",
5    base_url="https://api.novita.ai/openai"
6)
7
8response = client.chat.completions.create(
9    model="google/gemma-4-31b-it",
10    messages=[
11        {"role": "system", "content": "You are a helpful assistant."},
12        {"role": "user", "content": "Hello, how are you?"}
13    ],
14    max_tokens=131072,
15    temperature=0.7
16)
17
18print(response.choices[0].message.content)