--- title: Anthropic: Claude Opus 4.5 API | Text Generation | ModelsLab description: Top LLM for complex reasoning and agentic workflows: 80.9% SWE-bench, 200K context, 64K output, adjustable effort modes, multimodal, $5/$25 per 1M. url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/anthropic/anthropic-claude-opus-4.5/api.md canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/anthropic/anthropic-claude-opus-4.5/api.md type: product component: Playground/LLM/Index generated_at: 2026-05-13T10:53:22.669999Z --- Anthropic: Claude Opus 4.5 --- [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/anthropic-claude-opus-4.5/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/anthropic/anthropic-claude-opus-4.5.md) anthropic-claude-opus-4.5 anthropic Closed Source Model $15.000000 / call Anthropic: Claude Opus 4.5 --- 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 ### Anthropic: Claude Opus 4.5 anthropic anthropic-claude-opus-4.5 Copy model ID PricingInput $5.00 / 1M tokens Output $25.00 / 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-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [GG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemini-2.0-flash-001)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Google: Gemini 2.0 Flash Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemini-2.0-flash-001) [![GPT 5.2](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/2bdd00f4-1692-49d8-a562-72cb1753d0ff.png)](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai/gpt-5.2)[Open Ai](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai) [GPT 5.2 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai/gpt-5.2) [Q4](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-4B-Base)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Qwen3 4B Base Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-4B-Base) [OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.1-codex-max)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [OpenAI: GPT-5.1-Codex-Max Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.1-codex-max) [ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/meta-llama-Meta-Llama-3-70B-Instruct-Turbo)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Meta Llama 3 70B Instruct Turbo Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/meta-llama-Meta-Llama-3-70B-Instruct-Turbo) [N8](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/nim-mistralai-mixtral-8x22b-instruct-v01)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [nim/mistralai/mixtral-8x22b-instruct-v01 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/nim-mistralai-mixtral-8x22b-instruct-v01) [PS](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/perplexity-sonar-deep-research)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Perplexity: Sonar Deep Research Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/perplexity-sonar-deep-research) [QN](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-Next-80B-A3B-Instruct)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Qwen3 Next 80B A3b Instruct Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-Next-80B-A3B-Instruct) [AA](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/arcee-ai-coder-large)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Arcee AI: Coder Large Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/arcee-ai-coder-large) [Q1](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-1.7B)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Qwen3 1.7B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-1.7B) [![GPT-5-nano](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/264a17fd-e3e6-4145-a644-88e3c644638f.webp)](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai/gpt-5-nano)[Open Ai](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai) [GPT-5-nano Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai/gpt-5-nano) [MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-ministral-3b-2512)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Mistral: Ministral 3 3B 2512 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-ministral-3b-2512) [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) [AJ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/ai21-jamba-large-1.7)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [AI21: Jamba Large 1.7 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/ai21-jamba-large-1.7) [XG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/x-ai-grok-4.1-fast)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [xAI: Grok 4.1 Fast Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/x-ai-grok-4.1-fast) [GN](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemini-3-pro-image-preview)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Google: Nano Banana Pro (Gemini 3 Pro Image Preview) Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemini-3-pro-image-preview) [TC](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/thedrummer-cydonia-24b-v4.1)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [TheDrummer: Cydonia 24B V4.1 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/thedrummer-cydonia-24b-v4.1) [GG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemini-3.1-flash-lite-preview)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Google: Gemini 3.1 Flash Lite Preview Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemini-3.1-flash-lite-preview) About Anthropic: Claude Opus 4.5 --- Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and... ### Technical Specifications Model IDanthropic-claude-opus-4.5CategoryLLM ModelsTaskText GenerationPrice$15.000000 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 Anthropic: Claude Opus 4.5 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": "anthropic-claude-opus-4.5", "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/anthropic/anthropic-claude-opus-4.5/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing Anthropic: Claude Opus 4.5 API costs $15.000000 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 Anthropic: Claude Opus 4.5](https://modelslab-frontend-v2-927501783998.us-east4.run.app/anthropic-claude-opus-45) [Browse LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [More from Anthropic](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [View Pricing](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing) Anthropic: Claude Opus 4.5 FAQ --- ### What is Anthropic: Claude Opus 4.5? Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and... ### How do I use the Anthropic: Claude Opus 4.5 API? You can integrate Anthropic: Claude Opus 4.5 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "anthropic-claude-opus-4.5" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Anthropic: Claude Opus 4.5 cost? Anthropic: Claude Opus 4.5 costs $15.000000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started. ### What is the Anthropic: Claude Opus 4.5 model ID? The model ID for Anthropic: Claude Opus 4.5 is "anthropic-claude-opus-4.5". Use this ID in your API requests to specify this model. ### Does Anthropic: Claude Opus 4.5 have a free tier? Yes, ModelsLab offers a free tier that lets you try Anthropic: Claude Opus 4.5 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*