Happy Horse 1.0 is now on ModelsLab

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

It is Anthropic's hybrid reasoning LLM with extended thinking mode for deeper analysis. Toggle between fast standard responses and visible step-by-step reasoning. Users control thinking budget via API.

Enable extended thinking with API parameters like thinking budget. Model self-reflects using extra tokens before final output. Extended tokens count as output and support 128K limit.

Combines instant replies and long chain-of-thought in one model unlike separate reasoning LLMs. Improves math, code, and analytics via serial test-time compute. Outperforms prior Claude versions.

Yes, it mirrors o1-style inference scaling with controllable thinking. Supports 200K input and 128K output in thinking mode. API users get fine-grained token control.

Use LLM endpoint with model name and thinking parameters. Set anthropic-beta header for 128K output. Balances cost via mode selection.

Input stays at 200K tokens; output reaches 128K in extended mode. Thinking tokens add to output billing. Best for multi-step problems like analytics.

Ready to create?

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

Try Anthropic: Claude 3.7 Sonnet (thinking)API Documentation