---
title: Google: Gemma 4 31B API | Text Generation | ModelsLab
description: Build with Google: Gemma 4 31B API by Google. Text generation, chat, code, and reasoning. Plans from $21/month.
url: https://modelslab.com/models/google/google-gemma-4-31b-it.md
canonical: https://modelslab.com/models/google/google-gemma-4-31b-it
type: product
component: Playground/LLM/Index
generated_at: 2026-09-14T20:20:32.049792Z
---

Google: Gemma 4 31B
---

 [LLMs.txt](https://modelslab.com/models/google/google-gemma-4-31b-it/llms.txt) [.md](https://modelslab.com/models/google/google-gemma-4-31b-it.md)

Google: Gemma 4 31B
---

Choose a prompt below to get started or type your own message

 Explain quantum computing in simple terms

 Write a Python function to sort a list

 Create a marketing email for a SaaS product

 Compare REST vs GraphQL APIs

images and text files

Send

### Google: Gemma 4 31B

google google-gemma-4-31b-it

Copy model ID

PricingInput $0.09 / 1M tokens

Output $0.34 / 1M tokens

API EndpointsOpenAI Compatible

`https://modelslab.com/api/v7/llm/chat/completions`Endpoint

Anthropic Compatible

`https://modelslab.com/api/v7/llm/v1/messages`Messages

`https://modelslab.com/api/v7/llm/v1/messages/count_tokens`Count Tokens

`https://modelslab.com/api/v7/llm/v1/models`Models

Use with Claude Code

cURL Example

ParametersSystem MessageYou are a helpful AI assistant specialized in providing accurate and detailed responses.

Temperature0.7

Max Tokens4000

Top P0.9

Frequency Penalty0

Presence Penalty0

Thinkinglow

lowmediumhigh

Deeper thinking spends more of the Max Tokens budget before the answer starts.

Model Info

Support

Looking for something different?
---

Models that trade off differently against the one you are viewing

### Better quality

Newer flagship models that generally produce stronger results.

[![GPT 5.2](https://images.modelslab.sh/?Image=https://assets.modelslab.ai/generations/2bdd00f4-1692-49d8-a562-72cb1753d0ff.png)](https://modelslab.com/models/openai/gpt-5.2)[OpenAI](https://modelslab.com/models/openai)

 [GPT 5.2](https://modelslab.com/models/openai/gpt-5.2)

[![GPT 5.1](https://images.modelslab.sh/?Image=https://assets.modelslab.ai/generations/fad83520-47a8-4059-b4b9-b32adf4d0be7.png)](https://modelslab.com/models/openai/gpt5.1)[OpenAI](https://modelslab.com/models/openai)

 [GPT 5.1](https://modelslab.com/models/openai/gpt5.1)

[![Gemini 3 Pro Preview](https://images.modelslab.sh/?Image=https://assets.modelslab.ai/generations/1846e76f-9d5c-4a35-a43a-82db45b7bb8b.png)](https://modelslab.com/models/google/gemini-3-pro-preview)[Google](https://modelslab.com/models/google)

 [Gemini 3 Pro Preview](https://modelslab.com/models/google/gemini-3-pro-preview)

[![GPT-5.1-Codex-Max](https://images.modelslab.sh/?Image=https://assets.modelslab.ai/generations/06356c4c-df09-4ccb-a5c0-629da670f75b.png)](https://modelslab.com/models/openai/gpt-5.1-codex-max)[OpenAI](https://modelslab.com/models/openai)

 [GPT-5.1-Codex-Max](https://modelslab.com/models/openai/gpt-5.1-codex-max)

### Lower cost per run

Open-source models we host, unlimited on the $149/month plan.

[Modelslab: Custom LLM

Popular](https://modelslab.com/models/modelslab/uncensored-chat)[ModelsLab](https://modelslab.com/models/modelslab)

 [Modelslab: Custom LLM

Open Source Model](https://modelslab.com/models/modelslab/uncensored-chat)

[![gpt-oss-20b](https://images.modelslab.sh/?Image=https://assets.modelslab.ai/generations/8b2f0440-52cc-4f41-93eb-d31006ad71e2.webp)](https://modelslab.com/models/openai/gpt-oss-20b)[OpenAI](https://modelslab.com/models/openai)

 [gpt-oss-20b

Closed Source Model](https://modelslab.com/models/openai/gpt-oss-20b)

[![DeepSeek: DeepSeek V4 Flash 0423](https://images.modelslab.sh/?Image=https://assets.modelslab.ai/generations/267a7228-f392-4d3e-abb6-915fef640c49.png)](https://modelslab.com/models/deepseek/deepseek-deepseek-v4-flash)[DeepSeek](https://modelslab.com/models/open_router)

 [DeepSeek: DeepSeek V4 Flash 0423

Closed Source Model](https://modelslab.com/models/deepseek/deepseek-deepseek-v4-flash)

[Qwen: Qwen3.5-9B](https://modelslab.com/models/qwen/qwen-qwen3.5-9b)[Qwen](https://modelslab.com/models/open_router)

 [Qwen: Qwen3.5-9B

Closed Source Model](https://modelslab.com/models/qwen/qwen-qwen3.5-9b)

[![Qwen3.5 9B FP8](https://images.modelslab.sh/?Image=https://assets.modelslab.ai/generations/475e7d51-3e69-4cbc-adb0-64e01535ac29.png)](https://modelslab.com/models/Qwen/Qwen-Qwen3.5-9B)[Qwen](https://modelslab.com/models/open_router)

 [Qwen3.5 9B FP8

Closed Source Model](https://modelslab.com/models/Qwen/Qwen-Qwen3.5-9B)

[Meta: Llama Guard 4 12B](https://modelslab.com/models/meta/meta-llama-llama-guard-4-12b)[Meta](https://modelslab.com/models/open_router)

 [Meta: Llama Guard 4 12B

Closed Source Model](https://modelslab.com/models/meta/meta-llama-llama-guard-4-12b)

Related Models
---

Discover similar models you might be interested in

 [View all LLM Models](https://modelslab.com/models?feature=llmaster)

[#### OpenAI/OpenAI: GPT-6 Astra Pro

openai-gpt-6-astra-pro

From $30.00/M tokens](https://modelslab.com/models/openai/openai-gpt-6-astra-pro)

[#### Anthropic/Anthropic: Claude Haiku 4.5

anthropic-claude-haiku-4.5

From $3.00/M tokens](https://modelslab.com/models/anthropic/anthropic-claude-haiku-4.5)

[#### Meta/Meta: Muse Spark 1.2 Contributor

meta-muse-spark-1.2-contributor

From $0.15/M tokens](https://modelslab.com/models/meta/meta-muse-spark-1.2-contributor)

[#### inclusionAI/inclusionAI: Ling 3.0 Flash Fin

inclusionai-ling-3.0-flash-fin

From $0.12/M tokens](https://modelslab.com/models/inclusionai/inclusionai-ling-3.0-flash-fin)

[#### ByteDance/ByteDance: UI-TARS 7B 

bytedance-ui-tars-1.5-7b

From $0.15/M tokens](https://modelslab.com/models/bytedance/bytedance-ui-tars-1.5-7b)

[#### Qwen/Qwen: Qwen3.5-Flash

qwen-qwen3.5-flash-02-23

From $0.16/M tokens](https://modelslab.com/models/qwen/qwen-qwen3.5-flash-02-23)

[#### Google/Gemma 3N E4B Instruct

google-gemma-3n-E4B-it

From $0.09/M tokens](https://modelslab.com/models/google/google-gemma-3n-E4B-it)

[#### Mistral AI/Mistral: Ministral 3 3B 2512

mistralai-ministral-3b-2512

From $0.10/M tokens](https://modelslab.com/models/mistralai/mistralai-ministral-3b-2512)

[#### MiniMax/MiniMax: MiniMax M2.1

minimax-minimax-m2.1

From $0.75/M tokens](https://modelslab.com/models/minimax/minimax-minimax-m2.1)

[#### Thinking Machines/Thinking Machines: Inkling

thinkingmachines-inkling

From $2.52/M tokens](https://modelslab.com/models/thinkingmachines/thinkingmachines-inkling)

[#### Anthropic/Anthropic: Claude Opus 4.7

anthropic-claude-opus-4.7

From $15.00/M tokens](https://modelslab.com/models/anthropic/anthropic-claude-opus-4.7)

[#### DeepSeek/DeepSeek: DeepSeek V4 Flash 0731

deepseek-deepseek-v4-flash-0731

From $0.09/M tokens](https://modelslab.com/models/deepseek/deepseek-deepseek-v4-flash-0731)

[#### Meta/Meta: Llama 4 Maverick

meta-llama-llama-4-maverick

From $0.42/M tokens](https://modelslab.com/models/meta/meta-llama-llama-4-maverick)

[#### Qwen/Qwen3 30B A3b

Qwen-Qwen3-30B-A3B

Free](https://modelslab.com/models/Qwen/Qwen-Qwen3-30B-A3B)

[#### OpenAI/OpenAI: GPT-3.5 Turbo

openai-gpt-3.5-turbo

From $1.00/M tokens](https://modelslab.com/models/openai/openai-gpt-3.5-turbo)

[#### BytePlus/Seed 1.8

seed-1.8

From $3.00/M tokens](https://modelslab.com/models/byteplus/seed-1.8)

[#### Meta/Llama 4 Scout Instruct (17Bx16E)

meta-llama-Llama-4-Scout-17B-16E-Instruct

From $0.39/M tokens](https://modelslab.com/models/meta/meta-llama-Llama-4-Scout-17B-16E-Instruct)

[#### inclusionAI/inclusionAI: Ling 3.0 Flash VL (free)

inclusionai-ling-3.0-flash-vl-free

Free](https://modelslab.com/models/inclusionai/inclusionai-ling-3.0-flash-vl-free)

About Google: Gemma 4 31B
---

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...

### Technical Specifications

Model IDgoogle-gemma-4-31b-it

CategoryLLM Models

TaskText Generation

Price$0.215 per million tokens

AddedApril 2, 2026

### Key Features

- Chat completion and multi-turn conversation API
- Streaming response with token-by-token output
- Function calling and tool use support
- System prompts and role-based messaging
- JSON mode and structured output

### Quick Start

Integrate Google: Gemma 4 31B into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/pricing) to get started.

PythonJavaScriptcURLPHP

```
<code>import requests
import json

url = "https://modelslab.com/api/v7/llm/chat/completions"

headers = {
    "Content-Type": "application/json"
}

data = {
        "model_id": "google-gemma-4-31b-it",
        "messages": [
            {
                "role": "user",
                "content": "Hello!"
            }
        ],
        "max_tokens": 1000,
        "key": "YOUR_API_KEY"
    }

try:
    response = requests.post(url, headers=headers, json=data)
    response.raise_for_status()  # Raises an HTTPError for bad responses (4XX or 5XX)
    result = response.json()
    print("API Response:")
    print(json.dumps(result, indent=2))
except requests.exceptions.HTTPError as http_err:
    print(f"HTTP error occurred: {http_err} - {response.text}")
except Exception as err:
    print(f"Other error occurred: {err}")</code>
```

### Pricing

Google: Gemma 4 31B API costs $0.215 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab.com/pricing)

### Use Cases

- AI chatbots and virtual assistants
- Code generation and developer tools
- Content writing and copywriting automation
- Data analysis, summarization, and extraction

[Learn more about Google: Gemma 4 31B](https://modelslab.com/google-gemma-4-31b) [Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Google](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing)

Google: Gemma 4 31B FAQ
---

### What is Google: Gemma 4 31B?

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...

### How do I use the Google: Gemma 4 31B API?

You can integrate Google: Gemma 4 31B into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "google-gemma-4-31b-it" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does Google: Gemma 4 31B cost?

Google: Gemma 4 31B costs $0.215 per million tokens. ModelsLab plans start at $21/month (Basic), and the $149/month Open Source plan includes unlimited generation on open-source models.

### What is the Google: Gemma 4 31B model ID?

The model ID for Google: Gemma 4 31B is "google-gemma-4-31b-it". Use this ID in your API requests to specify this model.

### Do I need a paid plan to use Google: Gemma 4 31B?

Yes. ModelsLab is subscription-based with no free tier — plans start at $21/month (Basic, 3,250 API calls). The $149/month Open Source Unlimited plan includes unlimited generation across open-source models; premium third-party models are billed per call from your wallet.

---

*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

---
*Generated by ModelsLab - 2026-09-15*