OpenAI: o1-pro

Public pricingIntelligence 79/100Large memory视觉深度思考工具调用

OpenAI: o1-pro 是一款多模态模型，适合多模态推理与分析。它结合了多模态输入处理、深度推理与规划、200K tokens上下文和高端定价定位，可在多模态推理与分析中提供可靠表现。它适合重视质量、速度与成本的团队，能带来稳定输出、灵活部署与扩展空间。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。

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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