Seedance 2.0 is here - create consistent, multimodal AI videos faster with images, videos, and audio in one prompt.

Try Now
Skip to main content
Available now on ModelsLab · Language Model

Anthropic: Claude 3.7 Sonnet (thinking)Think Deeper Generate Smarter

Try Anthropic: Claude 3.7 Sonnet (thinking)API Documentation

Control Reasoning Depth Precisely

Hybrid Modes

Toggle Extended Thinking

Switch between standard mode for quick replies and extended thinking for step-by-step reasoning on Anthropic: Claude 3.7 Sonnet (thinking).

Token Control

Set Thinking Budget

Specify tokens for extended thinking in anthropic claude 3.7 sonnet thinking API to balance latency and depth.

Massive Output

128K Token Responses

Produce up to 128,000 output tokens in extended mode for complex code and analysis with Anthropic: Claude 3.7 Sonnet (thinking) model.

Examples

See what Anthropic: Claude 3.7 Sonnet (thinking) can create

Copy any prompt below and try it yourself in the playground.

Math Proof

“Prove Fermat's Last Theorem step-by-step using extended thinking mode. Show all intermediate reasoning, assumptions, and logical deductions clearly.”

Code Optimizer

“Analyze this Python sorting algorithm for efficiency issues. Use extended thinking to explore optimizations, time complexity, and generate improved version with tests.”

Strategy Plan

“Develop a detailed business expansion strategy for a tech startup into Asia. Break down market analysis, risks, timelines, and milestones using chain-of-thought reasoning.”

Physics Simulation

“Simulate quantum entanglement experiment outcomes. Reason through wave functions, measurements, and probabilities step-by-step before final predictions.”

For Developers

A few lines of code.
Reasoning On. API Off.

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

  • Serverless: scales to zero, scales to millions
  • Pay per token, no minimums
  • Python and JavaScript SDKs, plus REST API
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about Anthropic: Claude 3.7 Sonnet (thinking)

Read the docs

Ready to create?

Start generating with Anthropic: Claude 3.7 Sonnet (thinking) on ModelsLab.

Try Anthropic: Claude 3.7 Sonnet (thinking)API Documentation