---
title: Google: Gemma 3 12B API | Text Generation | ModelsLab
description: Build with Google: Gemma 3 12B API by Google. Text generation, chat, code, and reasoning. Pay-per-use. Free tier.
url: https://modelslab.com/models/google/google-gemma-3-12b-it.md
canonical: https://modelslab.com/models/google/google-gemma-3-12b-it.md
type: product
component: Playground/LLM/Index
generated_at: 2026-04-15T00:17:50.588872Z
---

Google: Gemma 3 12B
---

 [LLMs.txt](https://modelslab.com/models/open_router/google-gemma-3-12b-it/llms.txt) [.md](https://modelslab.com/models/google/google-gemma-3-12b-it.md)

google-gemma-3-12b-it google Closed Source Model $0.085000 / call

Google: Gemma 3 12B
---

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

Send

### Google: Gemma 3 12B

google google-gemma-3-12b-it

Copy model ID

PricingInput $0.04 / 1M tokens

Output $0.13 / 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 Tokens1000

Top P0.9

Frequency Penalty0

Presence Penalty0

Model Info

Support

Related Models
---

Discover similar models you might be interested in

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

[NN](https://modelslab.com/models/open_router/nvidia-nemotron-nano-12b-v2-vl)[Open Router](https://modelslab.com/models/open_router)

 [NVIDIA: Nemotron Nano 12B 2 VL

Closed Source Model](https://modelslab.com/models/open_router/nvidia-nemotron-nano-12b-v2-vl)

[QC](https://modelslab.com/models/together_ai/Qwen-Qwen3-Coder-480B-A35B-Instruct-FP8)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen3 Coder 480B A35B Instruct Fp8

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-Coder-480B-A35B-Instruct-FP8)

[MM](https://modelslab.com/models/together_ai/MiniMaxAI-MiniMax-M2.7)[Together AI](https://modelslab.com/models/together_ai)

 [MiniMax M2.7 FP4

Closed Source Model](https://modelslab.com/models/together_ai/MiniMaxAI-MiniMax-M2.7)

[XG](https://modelslab.com/models/open_router/x-ai-grok-4.20)[Open Router](https://modelslab.com/models/open_router)

 [xAI: Grok 4.20

Closed Source Model](https://modelslab.com/models/open_router/x-ai-grok-4.20)

[DR](https://modelslab.com/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Qwen-14B)[ModelsLab](https://modelslab.com/models/deepseek)

 [DeepSeek R1 Distill Qwen 14B

Closed Source Model](https://modelslab.com/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Qwen-14B)

[H3](https://modelslab.com/models/together_ai/Hcompany-Holo3-35B-A3B)[Together AI](https://modelslab.com/models/together_ai)

 [Holo3 35B A3b

Closed Source Model](https://modelslab.com/models/together_ai/Hcompany-Holo3-35B-A3B)

[DR](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-R1-0528)[Together AI](https://modelslab.com/models/together_ai)

 [DeepSeek R1 0528

Closed Source Model](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-R1-0528)

[AC](https://modelslab.com/models/open_router/anthropic-claude-3.7-sonnet)[Open Router](https://modelslab.com/models/open_router)

 [Anthropic: Claude 3.7 Sonnet

Closed Source Model](https://modelslab.com/models/open_router/anthropic-claude-3.7-sonnet)

[M8](https://modelslab.com/models/together_ai/mistralai-Mixtral-8x7B-v0.1)[Together AI](https://modelslab.com/models/together_ai)

 [Mixtral 8X7b V0.1

Closed Source Model](https://modelslab.com/models/together_ai/mistralai-Mixtral-8x7B-v0.1)

[ML](https://modelslab.com/models/meta/meta-llama-Llama-3.2-11B-Vision-Instruct-Turbo)[ModelsLab](https://modelslab.com/models/meta)

 [Meta Llama 3.2 11B Vision Instruct Turbo

Closed Source Model](https://modelslab.com/models/meta/meta-llama-Llama-3.2-11B-Vision-Instruct-Turbo)

[QN](https://modelslab.com/models/together_ai/Qwen-Qwen3-Next-80B-A3B-Thinking)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen3 Next 80B A3b Thinking

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-Next-80B-A3B-Thinking)

[G5](https://modelslab.com/models/together_ai/zai-org-GLM-5.1)[Together AI](https://modelslab.com/models/together_ai)

 [GLM 5.1 FP4

Closed Source Model](https://modelslab.com/models/together_ai/zai-org-GLM-5.1)

[ML](https://modelslab.com/models/open_router/meta-llama-llama-3.3-70b-instruct)[Open Router](https://modelslab.com/models/open_router)

 [Meta: Llama 3.3 70B Instruct

Closed Source Model](https://modelslab.com/models/open_router/meta-llama-llama-3.3-70b-instruct)

[MM](https://modelslab.com/models/open_router/mistralai-mixtral-8x7b-instruct)[Open Router](https://modelslab.com/models/open_router)

 [Mistral: Mixtral 8x7B Instruct

Closed Source Model](https://modelslab.com/models/open_router/mistralai-mixtral-8x7b-instruct)

[OG](https://modelslab.com/models/open_router/openai-gpt-5.1-codex)[Open Router](https://modelslab.com/models/open_router)

 [OpenAI: GPT-5.1-Codex

Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5.1-codex)

[G4](https://modelslab.com/models/together_ai/zai-org-GLM-4.5-Air-FP8)[Together AI](https://modelslab.com/models/together_ai)

 [Glm 4.5 Air Fp8

Closed Source Model](https://modelslab.com/models/together_ai/zai-org-GLM-4.5-Air-FP8)

[Q8](https://modelslab.com/models/together_ai/Qwen-Qwen3-8B-Lora)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen3 8B Lora

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-8B-Lora)

[Q7](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-72B)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen2.5 72B

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-72B)

About Google: Gemma 3 12B
---

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...

### Technical Specifications

Model IDgoogle-gemma-3-12b-itCategoryLLM ModelsTaskText GenerationPrice$0.085000 per million tokensAddedFebruary 20, 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 3 12B 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-3-12b-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>
```

View the [full API documentation](https://modelslab.com/models/google/google-gemma-3-12b-it/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

Google: Gemma 3 12B API costs $0.085000 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

[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 3 12B FAQ
---

### What is Google: Gemma 3 12B?

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...

### How do I use the Google: Gemma 3 12B API?

You can integrate Google: Gemma 3 12B into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "google-gemma-3-12b-it" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does Google: Gemma 3 12B cost?

Google: Gemma 3 12B costs $0.085000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started.

### What is the Google: Gemma 3 12B model ID?

The model ID for Google: Gemma 3 12B is "google-gemma-3-12b-it". Use this ID in your API requests to specify this model.

### Does Google: Gemma 3 12B have a free tier?

Yes, ModelsLab offers a free tier that lets you try Google: Gemma 3 12B and other AI models. Sign up to get free API credits and start building immediately.

---

*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 - 2026-04-15*