--- title: Anthropic: Claude Sonnet 4.6 | Text Generation | ModelsLab description: Powerful LLM with 1M token context window (beta), 128K max output, 79.6% SWE-bench & 72.5% OSWorld scores for agentic coding, computer use, and. url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/anthropic/anthropic-claude-sonnet-4.6/api.md canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/anthropic/anthropic-claude-sonnet-4.6/api.md type: product component: Playground/LLM/Index generated_at: 2026-05-13T10:52:54.574092Z --- Anthropic: Claude Sonnet 4.6 --- [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/anthropic-claude-sonnet-4.6/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/anthropic/anthropic-claude-sonnet-4.6.md) anthropic-claude-sonnet-4.6 anthropic Closed Source Model $9.000000 / call Anthropic: Claude Sonnet 4.6 --- 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 Sonnet 4.6 anthropic anthropic-claude-sonnet-4.6 Copy model ID PricingInput $3.00 / 1M tokens Output $15.00 / 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) [OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4o-search-preview)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [OpenAI: GPT-4o Search Preview Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4o-search-preview) [N3](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/nim-meta-llama-3.1-70b-instruct)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [nim/meta/llama-3.1-70b-instruct Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/nim-meta-llama-3.1-70b-instruct) [DR](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [DeepSeek R1 Distill Qwen 1.5B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B) [ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-guard-4-12b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Meta: Llama Guard 4 12B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-guard-4-12b) [H3](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Hcompany-Holo3-35B-A3B)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Holo3 35B A3b Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Hcompany-Holo3-35B-A3B) [ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/togethercomputer-meta-llama-3.1-8B-Instruct-AWQ-INT4)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Meta Llama 3.1 8B Instruct Awq Int4 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/togethercomputer-meta-llama-3.1-8B-Instruct-AWQ-INT4) [Q3](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-30B-A3B)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Qwen3 30B A3b Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-30B-A3B) [![Gemini 2.5 Flash Image Preview ](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/97c6f065-57f9-45b0-a190-08e5f97f70a8.png)](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google/gemini-2.5-flash-image-preview)[Google](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google) [Gemini 2.5 Flash Image Preview Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google/gemini-2.5-flash-image-preview) [XM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/xiaomi-mimo-v2.5)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Xiaomi: MiMo-V2.5 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/xiaomi-mimo-v2.5) [AC](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/alfredpros-codellama-7b-instruct-solidity)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [AlfredPros: CodeLLaMa 7B Instruct Solidity Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/alfredpros-codellama-7b-instruct-solidity) [MV](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-voxtral-small-24b-2507)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Mistral: Voxtral Small 24B 2507 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-voxtral-small-24b-2507) [MS](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/mistralai-Magistral-Small-2506)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Magistral Small 2506 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/mistralai-Magistral-Small-2506) [DR](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-r1-distill-qwen-32b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [DeepSeek: R1 Distill Qwen 32B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-r1-distill-qwen-32b) [QP](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3.6-Plus)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Qwen3.6 Plus Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3.6-Plus) [OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4-turbo)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [OpenAI: GPT-4 Turbo Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4-turbo) [![gpt-oss-20b](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/8b2f0440-52cc-4f41-93eb-d31006ad71e2.webp)](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai/gpt-oss-20b)[Open Ai](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai) [gpt-oss-20b Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai/gpt-oss-20b) [Q1](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-1.5B-Instruct)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Qwen2.5 1.5B Instruct Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-1.5B-Instruct) [DD](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-chat)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [DeepSeek: DeepSeek V3 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-chat) About Anthropic: Claude Sonnet 4.6 --- Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with... ### Technical Specifications Model IDanthropic-claude-sonnet-4.6CategoryLLM ModelsTaskText GenerationPrice$9.000000 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 Sonnet 4.6 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-sonnet-4.6", "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-sonnet-4.6/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing Anthropic: Claude Sonnet 4.6 API costs $9.000000 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 Sonnet 4.6](https://modelslab-frontend-v2-927501783998.us-east4.run.app/anthropic-claude-sonnet-46) [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 Sonnet 4.6 FAQ --- ### What is Anthropic: Claude Sonnet 4.6? Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with... ### How do I use the Anthropic: Claude Sonnet 4.6 API? You can integrate Anthropic: Claude Sonnet 4.6 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "anthropic-claude-sonnet-4.6" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Anthropic: Claude Sonnet 4.6 cost? Anthropic: Claude Sonnet 4.6 costs $9.000000 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 Sonnet 4.6 model ID? The model ID for Anthropic: Claude Sonnet 4.6 is "anthropic-claude-sonnet-4.6". Use this ID in your API requests to specify this model. ### Does Anthropic: Claude Sonnet 4.6 have a free tier? Yes, ModelsLab offers a free tier that lets you try Anthropic: Claude Sonnet 4.6 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*