OpenAI: o1

Public pricingIntelligence 80/100Large memoryЗрениеГлубокое рассуждениеРабота с инструментами

OpenAI: o1 — это мультимодальной‑модель для мультимодальное рассуждение и анализ. Она сочетает обработку мультимодальных входов и глубокое рассуждение и планирование, контекст 200K tokens и профиль премиальный, обеспечивая надёжную работу в задачах мультимодальное рассуждение и анализ.

Input

$15.00/1M

Output

$60.00/1M

Cached

$7.50/1M

Batch

$7.50/1M

Calculate your o1 bill.

Set your workload — see cost at your exact volume.

What would o1 cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

o1 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

Dec 2024

Training cutoff

Oct 2023

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • mmlu

    84.1

  • gpqa_diamond

    74.7

  • livecodebench

    67.9

  • humanitys_last_exam

    7.96

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

  • 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 — 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 costs roughly $3,525 per month. Input is $15.00 /1M tokens and output is $60.00 /1M tokens.
o1 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 supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output. It streams replies by default.
o1 was released in December 2024, with training data cut off around October 2023.
Models in a similar class include GPT-5 Pro, GPT-5 Image, o3 Deep Research. The "Similar models" section below this FAQ links into each.

Still unsure?

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