Интерфейс моделей ИИ

o1-pro

openai/o1-pro

От OpenAI · семейство: o-pro · выпуск 2025-03-19 · дата знаний: 2023-09

$150.00
Вход / 1M токенов
$600.00
Выход / 1M токенов
200K
Окно контекста
100K
Макс. вывод

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Возможности

Tool callingРассуждениеСтруктурированный выводВложенияОткрытые весаУправление температурой
Модальности: вход text, image · выход text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding80
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)6/20
  • Provider availability4/10
Agents94
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability4/10
JSON / structured output70
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control0/10
  • Price-friendly for high-volume0/20
Cost efficiency5
  • Headline price (log-scaled)5/95
  • Has prompt-cache pricing0/5
Long context55
  • Context window (100K → 2M)45/90
  • Has published price for full window10/10
Vision84
  • Accepts image input50/50
  • Context window (10K → 1M)20/30
  • Has published price10/10
  • Provider availability4/10
Production-readiness76
  • Number of independent providers20/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers6/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$1050
$1.05 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$2100
$0.21 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$600
$0.60 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$1800
$1.80 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$2160
$2.16 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Детализация цен

Рекомендованная цена от openai · o1-pro

$150.00
Вход
$600.00
Выход

Самый дешёвый провайдер: poe · $140.00 вход + $540.00 выход

Доступна у 4 провайдеров

ПровайдерID модели провайдераВход / 1MВыход / 1MКонтекстВыпуск
OpenAI
openai
o1-pro$150.00$600.00200K2025-03-19
NanoGPT
nano-gpt
openai/o1-pro$150.00$600.00200K2025-01-25
Kilo Gateway
kilo
openai/o1-pro$150.00$600.00200K2025-03-19
Poe
poe
openai/o1-pro$140.00$540.00200K2025-03-19

Расхождения данных между провайдерами

  • release_date varies (span 53d): 2025-01-25, 2025-03-19
  • modalities varies across offerings

Провайдеры сообщают разные значения для этой модели. Сводка выше использует репрезентативного провайдера; детали — в таблице.

Frequently asked questions

How much does o1-pro cost?

o1-pro costs $150.00 per 1M input tokens and $600.00 per 1M output tokens, sourced from openai. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of o1-pro?

o1-pro has a context window of 200K tokens, with a max output of 100K tokens per reply. This is the total combined size of prompt + completion.

Does o1-pro support tool calling?

Yes. o1-pro supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does o1-pro support structured output / JSON mode?

Yes. o1-pro supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can o1-pro accept image input?

Yes. o1-pro accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check OpenAI's docs for the exact rule.

Is o1-pro open-weight?

No. o1-pro is a proprietary model — only OpenAI (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to o1-pro?

If o1-pro doesn't fit, consider GPT OSS 120B, GPT OSS 20B, GPT-5.2. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

More OpenAI models

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Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.