--- title: Google: Gemini 3.6 Flash API | Text Generation | ModelsLab description: Build with Google: Gemini 3.6 Flash API by Google. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab.com/models/google/google-gemini-3.6-flash.md canonical: https://modelslab.com/models/google/google-gemini-3.6-flash type: product component: Playground/LLM/Index generated_at: 2026-07-21T22:23:11.939282Z --- Google: Gemini 3.6 Flash --- [LLMs.txt](https://modelslab.com/models/google/google-gemini-3.6-flash/llms.txt) [.md](https://modelslab.com/models/google/google-gemini-3.6-flash.md) Google: Gemini 3.6 Flash --- 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: Gemini 3.6 Flash google google-gemini-3.6-flash Copy model ID PricingInput $1.50 / 1M tokens Output $7.50 / 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) [#### mistralai/Mistral: Mistral Small 4 mistralai-mistral-small-2603 From $0.38/M tokens](https://modelslab.com/models/mistralai/mistralai-mistral-small-2603) [#### x-ai/xAI: Grok Build 0.1 x-ai-grok-build-0.1 From $1.50/M tokens](https://modelslab.com/models/x-ai/x-ai-grok-build-0.1) [#### mistralai/Mistral: Voxtral Small 24B 2507 mistralai-voxtral-small-24b-2507 From $0.20/M tokens](https://modelslab.com/models/mistralai/mistralai-voxtral-small-24b-2507) [#### moonshotai/MoonshotAI: Kimi K2 0905 moonshotai-kimi-k2-0905 From $1.55/M tokens](https://modelslab.com/models/moonshotai/moonshotai-kimi-k2-0905) [#### anthropic/Anthropic: Claude Opus Latest anthropic-claude-opus-latest From $15.00/M tokens](https://modelslab.com/models/anthropic/anthropic-claude-opus-latest) [#### qwen/Qwen: Qwen3 VL 8B Thinking qwen-qwen3-vl-8b-thinking From $0.74/M tokens](https://modelslab.com/models/qwen/qwen-qwen3-vl-8b-thinking) [#### xiaomi/Xiaomi: MiMo-V2.5-Pro xiaomi-mimo-v2.5-pro From $0.65/M tokens](https://modelslab.com/models/xiaomi/xiaomi-mimo-v2.5-pro) [#### aion-labs/AionLabs: Aion-3.0-Mini aion-labs-aion-3.0-mini From $1.05/M tokens](https://modelslab.com/models/aion-labs/aion-labs-aion-3.0-mini) [#### qwen/Qwen: Qwen3 Coder Flash qwen-qwen3-coder-flash From $0.58/M tokens](https://modelslab.com/models/qwen/qwen-qwen3-coder-flash) [#### kwaipilot/Kwaipilot: KAT-Coder-Air V2.5 kwaipilot-kat-coder-air-v2.5 From $0.38/M tokens](https://modelslab.com/models/kwaipilot/kwaipilot-kat-coder-air-v2.5) [#### moonshotai/MoonshotAI: Kimi K3 moonshotai-kimi-k3 From $9.00/M tokens](https://modelslab.com/models/moonshotai/moonshotai-kimi-k3) [#### moonshotai/MoonshotAI: Kimi K2 Thinking moonshotai-kimi-k2-thinking From $1.55/M tokens](https://modelslab.com/models/moonshotai/moonshotai-kimi-k2-thinking) [#### sao10k/Sao10K: Llama 3.1 Euryale 70B v2.2 sao10k-l3.1-euryale-70b From $0.85/M tokens](https://modelslab.com/models/sao10k/sao10k-l3.1-euryale-70b) [#### deepseek/DeepSeek: DeepSeek V3.2 Exp deepseek-deepseek-v3.2-exp From $0.34/M tokens](https://modelslab.com/models/deepseek/deepseek-deepseek-v3.2-exp) [#### stepfun/StepFun: Step 3.7 Flash stepfun-step-3.7-flash From $0.68/M tokens](https://modelslab.com/models/stepfun/stepfun-step-3.7-flash) [#### meta/Meta: Llama 4 Scout meta-llama-llama-4-scout From $0.20/M tokens](https://modelslab.com/models/meta/meta-llama-llama-4-scout) [#### alibaba\_cloud/Qwen: Qwen3.5 397B A17B qwen-qwen3.5-397b-a17b From $2.10/M tokens](https://modelslab.com/models/alibaba_cloud/qwen-qwen3.5-397b-a17b) [#### meta/Meta: Llama 3.3 70B Instruct meta-llama-llama-3.3-70b-instruct From $0.27/M tokens](https://modelslab.com/models/meta/meta-llama-llama-3.3-70b-instruct) Open Source Alternatives --- Explore open-source models that offer similar capabilities with full transparency and flexibility [View all open source models](https://modelslab.com/models?feature=llm&provider=open-source-models) [MC 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) About Google: Gemini 3.6 Flash --- Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and... ### Technical Specifications Model IDgoogle-gemini-3.6-flash CategoryLLM Models TaskText Generation Price$4.5 per million tokens AddedJuly 21, 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: Gemini 3.6 Flash 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-gemini-3.6-flash", "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}") ``` ### Pricing Google: Gemini 3.6 Flash API costs $4.500000 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: Gemini 3.6 Flash FAQ --- ### What is Google: Gemini 3.6 Flash? Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and... ### How do I use the Google: Gemini 3.6 Flash API? You can integrate Google: Gemini 3.6 Flash into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "google-gemini-3.6-flash" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Google: Gemini 3.6 Flash cost? Google: Gemini 3.6 Flash costs $4.500000 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: Gemini 3.6 Flash model ID? The model ID for Google: Gemini 3.6 Flash is "google-gemini-3.6-flash". Use this ID in your API requests to specify this model. ### Does Google: Gemini 3.6 Flash have a free tier? Yes, ModelsLab offers a free tier that lets you try Google: Gemini 3.6 Flash 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 - 2026-07-22*