--- title: Google: Gemma 3 4B (free) API | Text Generation | ModelsLab description: Build with Google: Gemma 3 4B (free) API by Google. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab.com/models/google/google-gemma-3-4b-it-free/api.md canonical: https://modelslab.com/models/google/google-gemma-3-4b-it-free/api.md type: product component: Playground/LLM/Index generated_at: 2026-04-15T02:03:36.602812Z --- Google: Gemma 3 4B (free) --- [LLMs.txt](https://modelslab.com/models/open_router/google-gemma-3-4b-it-free/llms.txt) [.md](https://modelslab.com/models/google/google-gemma-3-4b-it-free.md) google-gemma-3-4b-it-free google Closed Source Model Google: Gemma 3 4B (free) --- 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 4B (free) google google-gemma-3-4b-it-free Copy model ID PricingInput $0.00 / 1M tokens Output $0.00 / 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) [Q2](https://modelslab.com/models/together_ai/Qwen-Qwen3-235B-A22B-Thinking-2507)[Together AI](https://modelslab.com/models/together_ai) [Qwen3 235B A22B Thinking 2507 FP8 Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-235B-A22B-Thinking-2507) [OG](https://modelslab.com/models/open_router/openai-gpt-3.5-turbo)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-3.5 Turbo Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-3.5-turbo) [N3](https://modelslab.com/models/together_ai/nim-meta-llama-3.2-90b-vision-instruct)[Together AI](https://modelslab.com/models/together_ai) [nim/meta/llama-3.2-90b-vision-instruct Closed Source Model](https://modelslab.com/models/together_ai/nim-meta-llama-3.2-90b-vision-instruct) [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) [QQ](https://modelslab.com/models/open_router/qwen-qwen3-vl-30b-a3b-thinking)[Open Router](https://modelslab.com/models/open_router) [Qwen: Qwen3 VL 30B A3B Thinking Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-vl-30b-a3b-thinking) [ML](https://modelslab.com/models/together_ai/meta-llama-Meta-Llama-3.1-70B-Instruct-Turbo)[Together AI](https://modelslab.com/models/together_ai) [Meta Llama 3.1 70B Instruct Turbo Closed Source Model](https://modelslab.com/models/together_ai/meta-llama-Meta-Llama-3.1-70B-Instruct-Turbo) [OG](https://modelslab.com/models/open_router/openai-gpt-4)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-4 Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4) [![Anthropic: Claude Haiku 4.5](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/b89d0017-305c-42f8-8327-14107b3de1a0.png)](https://modelslab.com/models/open_router/anthropic-claude-haiku-4.5)[Open Router](https://modelslab.com/models/open_router) [Anthropic: Claude Haiku 4.5 Closed Source Model](https://modelslab.com/models/open_router/anthropic-claude-haiku-4.5) [DV](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-V3-0324)[Together AI](https://modelslab.com/models/together_ai) [Deepseek V3 0324 Closed Source Model](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-V3-0324) [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) [RF](https://modelslab.com/models/open_router/rekaai-reka-flash-3)[Open Router](https://modelslab.com/models/open_router) [Reka Flash 3 Closed Source Model](https://modelslab.com/models/open_router/rekaai-reka-flash-3) [Q1](https://modelslab.com/models/together_ai/Qwen-Qwen3-1.7B-Base)[Together AI](https://modelslab.com/models/together_ai) [Qwen3 1.7B Base Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-1.7B-Base) [GG](https://modelslab.com/models/open_router/google-gemini-2.5-flash-lite)[Open Router](https://modelslab.com/models/open_router) [Google: Gemini 2.5 Flash Lite Closed Source Model](https://modelslab.com/models/open_router/google-gemini-2.5-flash-lite) [G3](https://modelslab.com/models/google_deepmind/google-gemma-3n-E4B-it)[ModelsLab](https://modelslab.com/models/google_deepmind) [Gemma 3N E4B Instruct Closed Source Model](https://modelslab.com/models/google_deepmind/google-gemma-3n-E4B-it) [NH](https://modelslab.com/models/open_router/nousresearch-hermes-3-llama-3.1-405b)[Open Router](https://modelslab.com/models/open_router) [Nous: Hermes 3 405B Instruct Closed Source Model](https://modelslab.com/models/open_router/nousresearch-hermes-3-llama-3.1-405b) [QQ](https://modelslab.com/models/open_router/qwen-qwen3-max)[Open Router](https://modelslab.com/models/open_router) [Qwen: Qwen3 Max Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-max) [OG](https://modelslab.com/models/open_router/openai-gpt-4-0314)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-4 (older v0314) Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4-0314) [ML](https://modelslab.com/models/open_router/meta-llama-llama-guard-4-12b)[Open Router](https://modelslab.com/models/open_router) [Meta: Llama Guard 4 12B Closed Source Model](https://modelslab.com/models/open_router/meta-llama-llama-guard-4-12b) About Google: Gemma 3 4B (Free) --- 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-3-4b-it-freeCategoryLLM ModelsTaskText GenerationAddedFebruary 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 4B (Free) into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/pricing) to get started. PythonJavaScriptcURLPHP ``` import requests import json url = "https://modelslab.com/api/v7/llm/chat/completions" headers = { "Content-Type": "application/json" } data = { "model_id": "google-gemma-3-4b-it-free", "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}") ``` View the [full API documentation](https://modelslab.com/models/google/google-gemma-3-4b-it-free/api) for SDKs, code examples in Python, JavaScript, and more. ### 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 3 4B (Free)](https://modelslab.com/google-gemma-3-4b-free) [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 4B (Free) FAQ --- ### What is Google: Gemma 3 4B (Free)? 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 4B (Free) API? You can integrate Google: Gemma 3 4B (Free) into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "google-gemma-3-4b-it-free" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### What is the Google: Gemma 3 4B (Free) model ID? The model ID for Google: Gemma 3 4B (Free) is "google-gemma-3-4b-it-free". Use this ID in your API requests to specify this model. ### Does Google: Gemma 3 4B (Free) have a free tier? Yes, ModelsLab offers a free tier that lets you try Google: Gemma 3 4B (Free) 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*