Model Library/Gemma 4 31B
Gemma 4 31B

Gemma 4 31B

google/gemma-4-31b-it
by Google
APIドキュメント
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.

機能

サーバーレス API

ドキュメント

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.

利用可能なサーバーレス

クエリをすぐに実行し、使用した分だけお支払い

入力$0.14 / M Tokens
出力$0.4 / M Tokens
  1. API キーを取得

    サインアップしてキーを作成すると、以下のコードを実行できます。API は OpenAI 互換です。

  2. 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)