OpenAI: o1-pro

Public pricingIntelligence 79/100Large memoryविज़नगहरी सोचटूल उपयोग

OpenAI: o1-pro एक मल्टीमॉडल मॉडल है, जिसे multimodal तर्क और विश्लेषण के लिए बनाया गया है। यह multimodal input handling، गहरी तर्कशक्ति और योजना, 200K tokens का context और प्रीमियम profile जोड़कर multimodal तर्क और विश्लेषण में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

Input

$150.00/1M

Output

$600.00/1M

Cached

$75.00/1M

Batch

$75.00/1M

Calculate your o1-pro bill.

Set your workload — see cost at your exact volume.

What would o1-pro cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

o1-pro at a glance.

Memory

200,000

tokens

Max reply

100,000

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

tiktoken-o200k

Released

Mar 2025

Training cutoff

Oct 2023

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • humanitys_last_exam

    8.12

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick o1-pro

  • Multi-step reasoning, research agents, or hard math.
  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

o1-pro — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, o1-pro costs roughly $35,250 per month. Input is $150.00 /1M tokens and output is $600.00 /1M tokens.
o1-pro has a 200,000-token context window (large memory — an entire book or large codebase). That means you can fit about 37,500 words of input and history in a single call.
Beyond text generation, o1-pro supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output. It streams replies by default.
o1-pro was released in March 2025, with training data cut off around October 2023.
Models in a similar class include GPT-5, GPT-5 Codex, GPT-5 Image. The "Similar models" section below this FAQ links into each.

Still unsure?

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