--- title: Claude Opus 5 API | Text Generation | ModelsLab description: Build with Claude Opus 5 API by Anthropic. Text generation, chat, code, and reasoning. Plans from $21/month. url: https://modelslab.com/models/anthropic/anthropic-claude-opus-5.md canonical: https://modelslab.com/models/anthropic/anthropic-claude-opus-5 type: product component: Playground/LLM/Index generated_at: 2026-07-26T01:33:43.102217Z --- Claude Opus 5 --- [LLMs.txt](https://modelslab.com/models/anthropic/anthropic-claude-opus-5/llms.txt) [.md](https://modelslab.com/models/anthropic/anthropic-claude-opus-5.md) Claude Opus 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 ### Claude Opus 5 anthropic anthropic-claude-opus-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 Open Source Alternatives --- Similar models we host ourselves — unlimited on the $149/month Open Source Unlimited plan, where this model is billed per call from your wallet [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) Related Models --- Discover similar models you might be interested in [View all LLM Models](https://modelslab.com/models?feature=llmaster) [#### Qwen/Qwen: Qwen2.5 7B Instruct qwen-qwen-2.5-7b-instruct From $0.07/M tokens](https://modelslab.com/models/qwen/qwen-qwen-2.5-7b-instruct) [#### xAI/xAI: Grok 4.3 x-ai-grok-4.3 From $1.88/M tokens](https://modelslab.com/models/x-ai/x-ai-grok-4.3) [#### Qwen/Qwen: Qwen3.6 27B qwen-qwen3.6-27b From $1.15/M tokens](https://modelslab.com/models/qwen/qwen-qwen3.6-27b) [#### Google/Google: Gemini 3.6 Flash google-gemini-3.6-flash From $4.50/M tokens](https://modelslab.com/models/google/google-gemini-3.6-flash) [#### DeepSeek/DeepSeek: DeepSeek V3 0324 deepseek-deepseek-chat-v3-0324 From $0.69/M tokens](https://modelslab.com/models/deepseek/deepseek-deepseek-chat-v3-0324) [#### Mistral AI/Mistral Large 2407 mistralai-mistral-large-2407 From $4.00/M tokens](https://modelslab.com/models/mistralai/mistralai-mistral-large-2407) [#### Tencent/Tencent: Hunyuan A13B Instruct tencent-hunyuan-a13b-instruct From $0.35/M tokens](https://modelslab.com/models/tencent/tencent-hunyuan-a13b-instruct) [#### OpenAI/OpenAI: GPT-4o (2024-11-20) openai-gpt-4o-2024-11-20 From $6.25/M tokens](https://modelslab.com/models/openai/openai-gpt-4o-2024-11-20) [#### Mancer/Mancer: Weaver (alpha) mancer-weaver From $0.63/M tokens](https://modelslab.com/models/mancer/mancer-weaver) [#### Anthropic/Anthropic Claude Sonnet Latest anthropic-claude-sonnet-latest From $6.00/M tokens](https://modelslab.com/models/anthropic/anthropic-claude-sonnet-latest) [#### Amazon/Amazon: Nova Micro 1.0 amazon-nova-micro-v1 From $0.09/M tokens](https://modelslab.com/models/amazon/amazon-nova-micro-v1) [#### OpenAI/GPT-5.1-Codex-Max gpt-5.1-codex-max From $5.63/M tokens](https://modelslab.com/models/openai/gpt-5.1-codex-max) [#### Anthropic/Anthropic: Claude Sonnet 5 anthropic-claude-sonnet-5 From $6.00/M tokens](https://modelslab.com/models/anthropic/anthropic-claude-sonnet-5) [#### DeepSeek/DeepSeek: DeepSeek V4 Flash deepseek-deepseek-v4-flash From $0.21/M tokens](https://modelslab.com/models/deepseek/deepseek-deepseek-v4-flash) [#### Mistral AI/Mistral: Mistral Small 4 mistralai-mistral-small-2603 From $0.38/M tokens](https://modelslab.com/models/mistralai/mistralai-mistral-small-2603) [#### Qwen/Qwen: Qwen3.6 Flash qwen-qwen3.6-flash From $0.66/M tokens](https://modelslab.com/models/qwen/qwen-qwen3.6-flash) [#### 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) [#### Amazon/Amazon: Nova 2 Lite amazon-nova-2-lite-v1 From $1.40/M tokens](https://modelslab.com/models/amazon/amazon-nova-2-lite-v1) About Claude Opus 5 --- Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis... ### Technical Specifications Model IDanthropic-claude-opus-5 CategoryLLM Models TaskText Generation Price$15 per million tokens AddedJuly 24, 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 Claude Opus 5 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": "anthropic-claude-opus-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}") ``` ### Pricing Claude Opus 5 API costs $15.000000 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 Anthropic](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing) Claude Opus 5 FAQ --- ### What is Claude Opus 5? Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis... ### How do I use the Claude Opus 5 API? You can integrate Claude Opus 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-5" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Claude Opus 5 cost? Claude Opus 5 costs $15.000000 per million tokens. ModelsLab plans start at $21/month (Basic), and the $149/month Open Source plan includes unlimited generation on open-source models. ### What is the Claude Opus 5 model ID? The model ID for Claude Opus 5 is "anthropic-claude-opus-5". Use this ID in your API requests to specify this model. ### Do I need a paid plan to use Claude Opus 5? Yes. ModelsLab is subscription-based with no free tier — plans start at $21/month (Basic, 3,250 API calls). The $149/month Open Source Unlimited plan includes unlimited generation across open-source models; premium third-party models are billed per call from your wallet. --- *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 - 2026-07-26*