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Medium Reasoning

o1-pro

o1-pro is OpenAI's most advanced reasoning model, engineered to tackle complex problems in STEM, finance, healthcare, and other high-stakes fields by allocating additional computational resources to think through challenges methodically before providing answers. With its chain-of-thought reasoning capabilities and support for up to 100,000 output tokens, it delivers unmatched accuracy for professionals who require deep analytical problem-solving and data-driven decision-making.

200k Context
Medium Intelligence
Oct '23 Knowledge

Available for Chat, Vision, and File Uploads.

Performance Benchmarks

MMLU
92.3%
HumanEval
92.4%
MATH
94.8%

How do you want to interact?

Start a Conversation

Ask anything.
Have a natural conversation, brainstorm ideas, draft emails, or ask for advice.

Start Chatting

Use a Persona

Specialized Experts.
Instruct the AI to act as a Coding Tutor, Marketing Expert, or Travel Guide.

Pick a Persona

Why use o1-pro?

Enhanced Reasoning

Excels at step-by-step chain-of-thought reasoning for complex math, science, coding, and logical problems using reinforcement learning

Improved Reliability

Delivers more consistent, accurate outputs by allocating extra compute to think harder and reduce errors

Large Context Handling

Supports 200K token input window and up to 100K output tokens for processing vast information

Capability Examples

Complex Math Problem
Solve this advanced integral: ∫(x^2 + sin(x)) / (1 + e^x) dx from 0 to π, showing all steps.
After step-by-step reasoning through substitution u = e^x, integration by parts on sin(x)/(1+u), and boundary evaluation, the exact value is π/2 + (cos(π) - cos(0))/2 - Ei(π) + Ei(0), approximately 1.827.
Coding Challenge
Write a Python function to find the shortest path in a graph with negative weights using Bellman-Ford, handling up to 10^5 nodes efficiently.
Here's optimized Bellman-Ford with O(VE) time: def bellman_ford(graph, src): dist = {node: float('inf') for node in graph}; dist[src]=0; for _ in range(V-1): for u, edges in graph.items(): for v, w in edges: if dist[u] + w < dist[v]: dist[v] = dist[u] + w; # Check negative cycle... Handles large inputs reliably.

How to use

1
Go to Chat

Navigate to the "AI Chat" page.

2
Select Model

Ensure o1-pro is selected.

3
Type Prompt

Ask a question or paste code.

4
Interact

Refine the answer by replying to the AI.

Compare LLMs Side-by-Side

Is o1-pro better than Claude 3.5 or Gemini? Test same prompts simultaneously in the Chat Playground.

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