Gemma 4 31B

gemma-4-31b-it

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model, supporting text and image inputs with text outputs. It features a 256K token context window, configurable thinking/reasoning modes, native function calling, and broad multilingual support across 140+ languages. The model delivers strong performance in coding, reasoning, and document understanding, making it well suited for developer workflows, multilingual applications, and structured knowledge tasks.

Context: 262.1K tokens
Endpoint

Pricing

Input$0.14 / 1M

Output$0.40 / 1M

Cache Write (5m)$0.14 / 1M

Cache Write (1h)$0.14 / 1M

Cache Read$0.14 / 1M

Web Search$0 / 1M

Quick Start

Select an endpoint and copy a working example for this model.

Endpoint

python

from openai import OpenAI client = OpenAI(    api_key="YOUR_API_KEY",    base_url="https://api.apertis.ai/v1") response = client.chat.completions.create(    model="gemma-4-31b-it",    messages=[        {"role": "user", "content": "Hello!"}    ],    max_tokens=1024,    temperature=0.7) print(response.choices[0].message.content) # Optional: Enable context compression to reduce token usage# response = client.chat.completions.create(#     model="gemma-4-31b-it",#     messages=[{"role": "user", "content": "Hello!"}],#     extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )

Supported Parameters

API docs

Common7 params

modelmessagesmax_tokenstemperaturetop_pstreamtools

Extended4 params

reasoning_effortstream_optionsthinkingextra_body

Cursor IDE Model IDs

Use these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.

gemma-4-31b-it

Questions about Gemma 4 31B

How much does Gemma 4 31B cost on Apertis?

Gemma 4 31B costs $0.14 per 1M input tokens and $0.40 per 1M output tokens on Apertis.

What is Gemma 4 31B's context window?

Gemma 4 31B has a context window of 262.1K tokens.

Which company develops Gemma 4 31B?

Gemma 4 31B is developed by Google.

Which model ID do I use to call Gemma 4 31B?

Use the model ID gemma-4-31b-it to call Gemma 4 31B.

Compare with Other Models

See how this model compares to others from the same provider.

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Context: 1M
Input: $2.00/M
Output: $10.00/M

Gemini 3.1 Flash Lite Image (Google Vertex AI)

Gemini 3.1 Flash Lite Image served from Google Vertex AI. Billed per image at US$0.0336. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 1K. A request for a larger size returns a 1K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size.

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Output: — (Not priced per output token)

Gemini 3.1 Flash Lite Image (Google AI Studio)

Gemini 3.1 Flash Lite Image served from Google AI Studio. Billed per image at US$0.0336. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 1K. A request for a larger size returns a 1K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size.

Context: N/A
Input: — (Not priced per input token)
Output: — (Not priced per output token)

Gemini 3.1 Flash Image (Google Vertex AI)

Gemini 3.1 Flash Image served from Google Vertex AI. Billed per image at US$0.067. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 2K. A request for a larger size, such as 4K or 4096x4096, returns a 2K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size, for example 4096x4096->2048x2048.

Context: N/A
Input: — (Not priced per input token)
Output: — (Not priced per output token)