--- title: Google: Gemini 2.0 Flash API | Text Generation | ModelsLab description: Build with Google: Gemini 2.0 Flash API by Google. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab.com/models/google/google-gemini-2.0-flash-001/api.md canonical: https://modelslab.com/models/google/google-gemini-2.0-flash-001/api.md type: product component: Playground/LLM/Index generated_at: 2026-04-15T02:04:10.380822Z --- Google: Gemini 2.0 Flash --- [LLMs.txt](https://modelslab.com/models/open_router/google-gemini-2.0-flash-001/llms.txt) [.md](https://modelslab.com/models/google/google-gemini-2.0-flash-001.md) google-gemini-2.0-flash-001 google Closed Source Model $0.250000 / call Google: Gemini 2.0 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 2.0 Flash google google-gemini-2.0-flash-001 Copy model ID PricingInput $0.10 / 1M tokens Output $0.40 / 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) [OG](https://modelslab.com/models/open_router/openai-gpt-5.1-chat)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-5.1 Chat Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5.1-chat) [G2](https://modelslab.com/models/together_ai/google-gemma-2b-it)[Together AI](https://modelslab.com/models/together_ai) [Gemma 2B It Closed Source Model](https://modelslab.com/models/together_ai/google-gemma-2b-it) [CC](https://modelslab.com/models/open_router/cohere-command-a)[Open Router](https://modelslab.com/models/open_router) [Cohere: Command A Closed Source Model](https://modelslab.com/models/open_router/cohere-command-a) [SL](https://modelslab.com/models/open_router/sao10k-l3.1-70b-hanami-x1)[Open Router](https://modelslab.com/models/open_router) [Sao10K: Llama 3.1 70B Hanami x1 Closed Source Model](https://modelslab.com/models/open_router/sao10k-l3.1-70b-hanami-x1) [GN](https://modelslab.com/models/open_router/google-gemini-2.5-flash-image)[Open Router](https://modelslab.com/models/open_router) [Google: Nano Banana (Gemini 2.5 Flash Image) Closed Source Model](https://modelslab.com/models/open_router/google-gemini-2.5-flash-image) [DD](https://modelslab.com/models/open_router/deepseek-deepseek-chat-v3-0324)[Open Router](https://modelslab.com/models/open_router) [DeepSeek: DeepSeek V3 0324 Closed Source Model](https://modelslab.com/models/open_router/deepseek-deepseek-chat-v3-0324) [OG](https://modelslab.com/models/open_router/openai-gpt-4o-2024-05-13)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-4o (2024-05-13) Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4o-2024-05-13) [RL](https://modelslab.com/models/refuel_ai/togethercomputer-Refuel-Llm-V2)[ModelsLab](https://modelslab.com/models/refuel_ai) [Refuel LLM V2 Closed Source Model](https://modelslab.com/models/refuel_ai/togethercomputer-Refuel-Llm-V2) [G3](https://modelslab.com/models/together_ai/google-gemma-3-270m-it)[Together AI](https://modelslab.com/models/together_ai) [Gemma 3 270M It Closed Source Model](https://modelslab.com/models/together_ai/google-gemma-3-270m-it) [NL](https://modelslab.com/models/open_router/nvidia-llama-3.1-nemotron-70b-instruct)[Open Router](https://modelslab.com/models/open_router) [NVIDIA: Llama 3.1 Nemotron 70B Instruct Closed Source Model](https://modelslab.com/models/open_router/nvidia-llama-3.1-nemotron-70b-instruct) [Q3](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-3B-Instruct)[Together AI](https://modelslab.com/models/together_ai) [Qwen2.5 3B Instruct Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-3B-Instruct) [Q4](https://modelslab.com/models/together_ai/Qwen-Qwen3-4B-Instruct-2507)[Together AI](https://modelslab.com/models/together_ai) [Qwen3 4B Instruct 2507 Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-4B-Instruct-2507) [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) [MM](https://modelslab.com/models/open_router/morph-morph-v3-large)[Open Router](https://modelslab.com/models/open_router) [Morph: Morph V3 Large Closed Source Model](https://modelslab.com/models/open_router/morph-morph-v3-large) [MM](https://modelslab.com/models/open_router/mistralai-mistral-small-24b-instruct-2501)[Open Router](https://modelslab.com/models/open_router) [Mistral: Mistral Small 3 Closed Source Model](https://modelslab.com/models/open_router/mistralai-mistral-small-24b-instruct-2501) [G4](https://modelslab.com/models/together_ai/zai-org-GLM-4.5V)[Together AI](https://modelslab.com/models/together_ai) [GLM 4.5V Closed Source Model](https://modelslab.com/models/together_ai/zai-org-GLM-4.5V) [W2](https://modelslab.com/models/open_router/microsoft-wizardlm-2-8x22b)[Open Router](https://modelslab.com/models/open_router) [WizardLM-2 8x22B Closed Source Model](https://modelslab.com/models/open_router/microsoft-wizardlm-2-8x22b) [AC](https://modelslab.com/models/open_router/anthropic-claude-opus-4.5)[Open Router](https://modelslab.com/models/open_router) [Anthropic: Claude Opus 4.5 Closed Source Model](https://modelslab.com/models/open_router/anthropic-claude-opus-4.5) About Google: Gemini 2.0 Flash --- Gemini Flash 2.0 offers a significantly faster time to first token (TTFT) compared to \[Gemini Flash 1.5\](/google/gemini-flash-1.5), while maintaining quality on par with larger models like \[Gemini Pro 1.5\](/google/gemini-pro-1.5). It... ### Technical Specifications Model IDgoogle-gemini-2.0-flash-001CategoryLLM ModelsTaskText GenerationPrice$0.250000 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: Gemini 2.0 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-2.0-flash-001", "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-gemini-2.0-flash-001/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing Google: Gemini 2.0 Flash API costs $0.250000 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: Gemini 2.0 Flash](https://modelslab.com/google-gemini-20-flash) [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 2.0 Flash FAQ --- ### What is Google: Gemini 2.0 Flash? Gemini Flash 2.0 offers a significantly faster time to first token (TTFT) compared to \[Gemini Flash 1.5\](/google/gemini-flash-1.5), while maintaining quality on par with larger models like \[Gemini Pro 1.5\](/google/gemini-pro-1.5). It... ### How do I use the Google: Gemini 2.0 Flash API? You can integrate Google: Gemini 2.0 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-2.0-flash-001" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Google: Gemini 2.0 Flash cost? Google: Gemini 2.0 Flash costs $0.250000 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 2.0 Flash model ID? The model ID for Google: Gemini 2.0 Flash is "google-gemini-2.0-flash-001". Use this ID in your API requests to specify this model. ### Does Google: Gemini 2.0 Flash have a free tier? Yes, ModelsLab offers a free tier that lets you try Google: Gemini 2.0 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 - 2026-04-15*