--- title: Anthropic: Claude Opus 4.1 API | Text Generation | ModelsLab description: Flagship LLM with 200K token context, multimodal text/image input, 74.5% SWE-bench coding score. url: https://modelslab.com/models/anthropic/anthropic-claude-opus-4.1.md canonical: https://modelslab.com/models/anthropic/anthropic-claude-opus-4.1.md type: product component: Playground/LLM/Index generated_at: 2026-06-03T20:22:51.590378Z --- Anthropic: Claude Opus 4.1 --- [LLMs.txt](https://modelslab.com/models/open_router/anthropic-claude-opus-4.1/llms.txt) [.md](https://modelslab.com/models/anthropic/anthropic-claude-opus-4.1.md) Anthropic: Claude Opus 4.1 --- 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 4.1 anthropic anthropic-claude-opus-4.1 Copy model ID PricingInput $15.00 / 1M tokens Output $75.00 / 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) [#### open\_router/OpenAI: GPT-4o openai-gpt-4o From $6.25/M tokens](https://modelslab.com/models/open_router/openai-gpt-4o) [#### byteplus/Seed 1.8 seed-1.8 From $3.00/M tokens](https://modelslab.com/models/byteplus/seed-1.8) [#### together\_ai/OpenAI GPT-OSS 20B openai-gpt-oss-20b From $0.08/M tokens](https://modelslab.com/models/together_ai/openai-gpt-oss-20b) [#### open\_router/Arcee AI: Trinity Large Thinking arcee-ai-trinity-large-thinking From $0.54/M tokens](https://modelslab.com/models/open_router/arcee-ai-trinity-large-thinking) [#### open\_router/MiniMax: MiniMax M3 minimax-minimax-m3 From $0.75/M tokens](https://modelslab.com/models/open_router/minimax-minimax-m3) [#### open\_router/Sao10K: Llama 3.1 Euryale 70B v2.2 sao10k-l3.1-euryale-70b From $0.85/M tokens](https://modelslab.com/models/open_router/sao10k-l3.1-euryale-70b) [#### open\_router/Qwen: Qwen3 Max qwen-qwen3-max From $2.34/M tokens](https://modelslab.com/models/open_router/qwen-qwen3-max) [#### open\_router/Qwen: Qwen Plus 0728 qwen-qwen-plus-2025-07-28 From $0.52/M tokens](https://modelslab.com/models/open_router/qwen-qwen-plus-2025-07-28) [#### meta/Llama 4 Maverick Instruct (17Bx128E) meta-llama-Llama-4-Maverick-17B-128E-Instruct-FP8 From $0.56/M tokens](https://modelslab.com/models/meta/meta-llama-Llama-4-Maverick-17B-128E-Instruct-FP8) [#### open\_router/Z.ai: GLM 4.7 Flash z-ai-glm-4.7-flash From $0.23/M tokens](https://modelslab.com/models/open_router/z-ai-glm-4.7-flash) [#### open\_router/DeepSeek: DeepSeek V4 Flash deepseek-deepseek-v4-flash From $0.15/M tokens](https://modelslab.com/models/open_router/deepseek-deepseek-v4-flash) [#### open\_router/Anthropic Claude Haiku Latest anthropic-claude-haiku-latest From $3.00/M tokens](https://modelslab.com/models/open_router/anthropic-claude-haiku-latest) [#### open\_router/Microsoft: Phi 4 microsoft-phi-4 From $0.10/M tokens](https://modelslab.com/models/open_router/microsoft-phi-4) [#### open\_router/Qwen: Qwen3 32B qwen-qwen3-32b From $0.18/M tokens](https://modelslab.com/models/open_router/qwen-qwen3-32b) [#### open\_router/Nous: Hermes 3 70B Instruct nousresearch-hermes-3-llama-3.1-70b From $0.30/M tokens](https://modelslab.com/models/open_router/nousresearch-hermes-3-llama-3.1-70b) [#### open\_router/Google: Gemini 3.1 Flash Lite google-gemini-3.1-flash-lite From $0.88/M tokens](https://modelslab.com/models/open_router/google-gemini-3.1-flash-lite) [#### open\_router/Switchpoint Router switchpoint-router From $2.13/M tokens](https://modelslab.com/models/open_router/switchpoint-router) [#### together\_ai/Deepseek V4 Pro deepseek-ai-DeepSeek-V4-Pro From $3.25/M tokens](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-V4-Pro) 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](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 Anthropic: Claude Opus 4.1 --- Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains... ### Technical Specifications Model IDanthropic-claude-opus-4.1 CategoryLLM Models TaskText Generation Price$45 per million tokens AddedAugust 5, 2025 ### 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 4.1 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-4.1", "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 Anthropic: Claude Opus 4.1 API costs $45.000000 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 [Learn more about Anthropic: Claude Opus 4.1](https://modelslab.com/anthropic-claude-opus-41) [Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Anthropic](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing) Anthropic: Claude Opus 4.1 FAQ --- ### What is Anthropic: Claude Opus 4.1? Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains... ### How do I use the Anthropic: Claude Opus 4.1 API? You can integrate Anthropic: Claude Opus 4.1 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-4.1" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Anthropic: Claude Opus 4.1 cost? Anthropic: Claude Opus 4.1 costs $45.000000 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 4.1 model ID? The model ID for Anthropic: Claude Opus 4.1 is "anthropic-claude-opus-4.1". Use this ID in your API requests to specify this model. ### Does Anthropic: Claude Opus 4.1 have a free tier? Yes, ModelsLab offers a free tier that lets you try Anthropic: Claude Opus 4.1 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 - 2026-06-04*