Reasoning Model

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Featuring Claude Sonnet 4.5 + Extended Thinking

🧠 Deep Reasoning📊 Step Visualization⚡ Real-time Streaming

Chain-of-Thought Reasoning

Watch Claude Sonnet 4.5 think step-by-step through complex problems with extended thinking

Mode:

Shows detailed thinking process

Try an example:

Technical Highlights

Chain-of-Thought Reasoning

Reasoning models explicitly show their thinking process through structured steps: Analysis, Decomposition, Hypothesis, Verification, and Synthesis. Each step builds on previous insights.

Real-Time Step Visualization

Streaming architecture displays reasoning steps as they occur, with visual indicators for step type. Watch AI think through complex problems in real-time with flowchart-style presentation.

Comparison Mode

Toggle between reasoning mode (showing all steps) and direct mode (immediate answer) to compare transparency vs speed. Demonstrates value of explicit reasoning for complex problems.

Why Reasoning Models Matter:

1.Transparency: See exactly how the AI arrived at its conclusion, making it easier to verify correctness

2.Accuracy: Explicit reasoning reduces hallucinations and improves answer quality on complex problems

3.Debuggability: Identify where the reasoning went wrong and understand edge cases

4.Learning: Understand AI's problem-solving approach and learn new perspectives

Featuring Claude Sonnet 4.5 + Extended Thinking

🧠 Deep Reasoning📊 Step Visualization⚡ Real-time Streaming

Chain-of-Thought Reasoning

Watch Claude Sonnet 4.5 think step-by-step through complex problems with extended thinking

Mode:

Shows detailed thinking process

Try an example:

Technical Highlights

Chain-of-Thought Reasoning

Reasoning models explicitly show their thinking process through structured steps: Analysis, Decomposition, Hypothesis, Verification, and Synthesis. Each step builds on previous insights.

Real-Time Step Visualization

Streaming architecture displays reasoning steps as they occur, with visual indicators for step type. Watch AI think through complex problems in real-time with flowchart-style presentation.

Comparison Mode

Toggle between reasoning mode (showing all steps) and direct mode (immediate answer) to compare transparency vs speed. Demonstrates value of explicit reasoning for complex problems.

Why Reasoning Models Matter:

1.Transparency: See exactly how the AI arrived at its conclusion, making it easier to verify correctness

2.Accuracy: Explicit reasoning reduces hallucinations and improves answer quality on complex problems

3.Debuggability: Identify where the reasoning went wrong and understand edge cases

4.Learning: Understand AI's problem-solving approach and learn new perspectives