--- title: Google Gemini Pro Latest API | Text Generation | ModelsLab description: Build with Google Gemini Pro Latest API by Google. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab.com/models/google/google-gemini-pro-latest.md canonical: https://modelslab.com/models/google/google-gemini-pro-latest type: product component: Playground/LLM/Index generated_at: 2026-07-19T10:10:00.641656Z --- Google Gemini Pro Latest --- [LLMs.txt](https://modelslab.com/models/google/google-gemini-pro-latest/llms.txt) [.md](https://modelslab.com/models/google/google-gemini-pro-latest.md) Google Gemini Pro Latest --- 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 Pro Latest google google-gemini-pro-latest Copy model ID PricingInput $2.00 / 1M tokens Output $12.00 / 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) [#### openai/OpenAI: GPT-4o (2024-05-13) openai-gpt-4o-2024-05-13 From $10.00/M tokens](https://modelslab.com/models/openai/openai-gpt-4o-2024-05-13) [#### moonshotai/MoonshotAI: Kimi K2 0905 moonshotai-kimi-k2-0905 From $1.55/M tokens](https://modelslab.com/models/moonshotai/moonshotai-kimi-k2-0905) [#### x-ai/xAI: Grok 4.5 x-ai-grok-4.5 From $4.00/M tokens](https://modelslab.com/models/x-ai/x-ai-grok-4.5) [#### google/Google: Gemini 3 Flash Preview google-gemini-3-flash-preview From $1.75/M tokens](https://modelslab.com/models/google/google-gemini-3-flash-preview) [#### google/Google: Gemini 3.1 Pro Preview google-gemini-3.1-pro-preview From $7.00/M tokens](https://modelslab.com/models/google/google-gemini-3.1-pro-preview) [#### google/Gemini 2.5 Flash Image Preview gemini-2.5-flash-image-preview From $1.40/M tokens](https://modelslab.com/models/google/gemini-2.5-flash-image-preview) [#### nex-agi/Nex AGI: Nex-N2-Mini nex-agi-nex-n2-mini From $0.06/M tokens](https://modelslab.com/models/nex-agi/nex-agi-nex-n2-mini) [#### meta/Meta: Llama 3.1 70B Instruct meta-llama-llama-3.1-70b-instruct From $0.40/M tokens](https://modelslab.com/models/meta/meta-llama-llama-3.1-70b-instruct) [#### qwen/Qwen: Qwen3.5-35B-A3B qwen-qwen3.5-35b-a3b From $0.57/M tokens](https://modelslab.com/models/qwen/qwen-qwen3.5-35b-a3b) [#### deepcogito/Deep Cogito: Cogito v2.1 671B deepcogito-cogito-v2.1-671b From $1.25/M tokens](https://modelslab.com/models/deepcogito/deepcogito-cogito-v2.1-671b) [#### openai/OpenAI GPT-OSS 120B openai-gpt-oss-120b From $0.10/M tokens](https://modelslab.com/models/openai/openai-gpt-oss-120b) [#### google/Gemini 3 Pro Preview gemini-3-pro-preview From $7.00/M tokens](https://modelslab.com/models/google/gemini-3-pro-preview) [#### qwen/Qwen: Qwen3 VL 30B A3B Instruct qwen-qwen3-vl-30b-a3b-instruct From $0.33/M tokens](https://modelslab.com/models/qwen/qwen-qwen3-vl-30b-a3b-instruct) [#### cohere/Cohere: Command R7B (12-2024) cohere-command-r7b-12-2024 From $0.09/M tokens](https://modelslab.com/models/cohere/cohere-command-r7b-12-2024) [#### deepseek/DeepSeek: R1 Distill Llama 70B deepseek-deepseek-r1-distill-llama-70b From $0.80/M tokens](https://modelslab.com/models/deepseek/deepseek-deepseek-r1-distill-llama-70b) [#### qwen/Qwen: Qwen3 8B qwen-qwen3-8b From $0.29/M tokens](https://modelslab.com/models/qwen/qwen-qwen3-8b) [#### google/Google: Gemini 2.5 Flash google-gemini-2.5-flash From $1.40/M tokens](https://modelslab.com/models/google/google-gemini-2.5-flash) [#### mistralai/Mistral Small (24B) Instruct 25.01 mistralai-Mistral-Small-24B-Instruct-2501 From $0.20/M tokens](https://modelslab.com/models/mistralai/mistralai-Mistral-Small-24B-Instruct-2501) 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) [MU Popular](https://modelslab.com/models/modelslab/uncensored-chat)[ModelsLab](https://modelslab.com/models/modelslab) [Modelslab: Uncensored Chat Open Source Model](https://modelslab.com/models/modelslab/uncensored-chat) About Google Gemini Pro Latest --- Google Gemini Pro Latest is a text generation AI model by Google available on ModelsLab. Access Google Gemini Pro Latest through our API with pay-per-use pricing and no minimum commitments. ### Technical Specifications Model IDgoogle-gemini-pro-latest CategoryLLM Models TaskText Generation Price$7 per million tokens AddedApril 27, 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 Pro Latest 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-pro-latest", "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 Pro Latest API costs $7.000000 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 Pro Latest FAQ --- ### What is Google Gemini Pro Latest? Google Gemini Pro Latest is a text generation AI model by Google available on ModelsLab. Access it through our API with pay-per-use pricing and no minimum commitments. ### How do I use the Google Gemini Pro Latest API? You can integrate Google Gemini Pro Latest into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "google-gemini-pro-latest" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Google Gemini Pro Latest cost? Google Gemini Pro Latest costs $7.000000 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 Pro Latest model ID? The model ID for Google Gemini Pro Latest is "google-gemini-pro-latest". Use this ID in your API requests to specify this model. ### Does Google Gemini Pro Latest have a free tier? Yes, ModelsLab offers a free tier that lets you try Google Gemini Pro Latest 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 - 2026-07-19*