--- title: Google: Gemini 2.5 Flash Lite | Text Generation | ModelsLab description: Fastest, cost-efficient LLM for high-volume classification, extraction & low-latency tasks; 1M input/65K output tokens, multimodal. url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google/google-gemini-2.5-flash-lite/api.md canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google/google-gemini-2.5-flash-lite/api.md type: product component: Playground/LLM/Index generated_at: 2026-05-13T09:42:08.209108Z --- Google: Gemini 2.5 Flash Lite --- [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemini-2.5-flash-lite/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google/google-gemini-2.5-flash-lite.md) google-gemini-2.5-flash-lite google Closed Source Model $0.250000 / call Google: Gemini 2.5 Flash Lite --- 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 2.5 Flash Lite google google-gemini-2.5-flash-lite 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-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3.5-397b-a17b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Qwen: Qwen3.5 397B A17B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3.5-397b-a17b) [BE](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/baidu-ernie-4.5-21b-a3b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Baidu: ERNIE 4.5 21B A3B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/baidu-ernie-4.5-21b-a3b) [ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-Llama-3.2-90B-Vision-Instruct-Turbo)[ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta) [Meta Llama 3.2 90B Vision Instruct Turbo Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-Llama-3.2-90B-Vision-Instruct-Turbo) [DR](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-r1)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [DeepSeek: R1 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-r1) [NN](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/nvidia-NVIDIA-Nemotron-3-Super-120B-A12B-FP8)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Nvidia Nemotron 3 Super 120B A12b Fp8 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/nvidia-NVIDIA-Nemotron-3-Super-120B-A12B-FP8) [OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.4)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [OpenAI: GPT-5.4 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.4) [AC](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/anthropic-claude-haiku-latest)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Anthropic Claude Haiku Latest Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/anthropic-claude-haiku-latest) [NH](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/nousresearch-hermes-2-pro-llama-3-8b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [NousResearch: Hermes 2 Pro - Llama-3 8B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/nousresearch-hermes-2-pro-llama-3-8b) [ZG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/z-ai-glm-4.5v)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Z.ai: GLM 4.5V Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/z-ai-glm-4.5v) [Q3](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3.5-35B-A3B)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Qwen3.5 35B A3b Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3.5-35B-A3B) [ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/meta-llama-Meta-Llama-3.1-8B)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Meta Llama 3.1 8B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/meta-llama-Meta-Llama-3.1-8B) [OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-oss-20b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [OpenAI: gpt-oss-20b Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-oss-20b) [DD](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-v3.1-terminus)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [DeepSeek: DeepSeek V3.1 Terminus Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-v3.1-terminus) [TH](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/tencent-hy3-preview)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Tencent: Hy3 preview Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/tencent-hy3-preview) [Q7](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-72B-Instruct-Turbo)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Qwen2.5 72B Instruct Turbo Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-72B-Instruct-Turbo) [GG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemma-4-26b-a4b-it)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Google: Gemma 4 26B A4B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemma-4-26b-a4b-it) [MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/minimax-minimax-m2.5)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [MiniMax: MiniMax M2.5 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/minimax-minimax-m2.5) [OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-oss-120b-free)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [OpenAI: gpt-oss-120b (free) Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-oss-120b-free) About Google: Gemini 2.5 Flash Lite --- Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance... ### Technical Specifications Model IDgoogle-gemini-2.5-flash-liteCategoryLLM 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 2.5 Flash Lite into your application with a single API call. Get your API key from the [pricing page](https://modelslab-frontend-v2-927501783998.us-east4.run.app/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-2.5-flash-lite", "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-frontend-v2-927501783998.us-east4.run.app/models/google/google-gemini-2.5-flash-lite/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing Google: Gemini 2.5 Flash Lite API costs $0.250000 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab-frontend-v2-927501783998.us-east4.run.app/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 2.5 Flash Lite](https://modelslab-frontend-v2-927501783998.us-east4.run.app/google-gemini-25-flash-lite) [Browse LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [More from Google](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [View Pricing](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing) Google: Gemini 2.5 Flash Lite FAQ --- ### What is Google: Gemini 2.5 Flash Lite? Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance... ### How do I use the Google: Gemini 2.5 Flash Lite API? You can integrate Google: Gemini 2.5 Flash Lite into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "google-gemini-2.5-flash-lite" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Google: Gemini 2.5 Flash Lite cost? Google: Gemini 2.5 Flash Lite 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 2.5 Flash Lite model ID? The model ID for Google: Gemini 2.5 Flash Lite is "google-gemini-2.5-flash-lite". Use this ID in your API requests to specify this model. ### Does Google: Gemini 2.5 Flash Lite have a free tier? Yes, ModelsLab offers a free tier that lets you try Google: Gemini 2.5 Flash Lite 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 - 2026-05-13*