Интерфейс моделей ИИ

OpenAI o3-mini (High)

openai/o3-mini-high

От OpenAI · семейство: o-mini · выпуск 2025-01-31

$0.640
Вход / 1M токенов
$2.59
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 веса? Управление температурой
Модальности: вход text · 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.

Coding79
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)6/20
  • Provider availability3/10
Agents93
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability3/10
JSON / structured output84
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control0/10
  • Price-friendly for high-volume14/20
Cost efficiency50
  • Headline price (log-scaled)50/95
  • Has prompt-cache pricing0/5
Long context55
  • Context window (100K → 2M)45/90
  • Has published price for full window10/10
Production-readiness73
  • Number of independent providers15/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers8/10
  • 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
$4.49
< $0.01 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
$8.99
< $0.01 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
$2.57
< $0.01 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
$7.71
< $0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$9.23
< $0.01 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 nano-gpt · openai/o3-mini-high

$0.640
Вход
$2.59
Выход

Доступна у 3 провайдеров

ПровайдерID модели провайдераВход / 1MВыход / 1MКонтекстВыпуск
NanoGPT
nano-gpt
openai/o3-mini-high$0.640$2.59200K2025-01-31
Kilo Gateway
kilo
openai/o3-mini-high$1.10$4.40200K2025-01-31
Poe
poe
openai/o3-mini-high$0.990$4.00200K2025-01-31

Расхождения данных между провайдерами

  • 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 OpenAI o3-mini (High) cost?

OpenAI o3-mini (High) costs $0.640 per 1M input tokens and $2.59 per 1M output tokens, sourced from nano-gpt. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of OpenAI o3-mini (High)?

OpenAI o3-mini (High) 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 OpenAI o3-mini (High) support tool calling?

Yes. OpenAI o3-mini (High) 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 OpenAI o3-mini (High) support structured output / JSON mode?

Yes. OpenAI o3-mini (High) 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 OpenAI o3-mini (High) accept image input?

No. OpenAI o3-mini (High) only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is OpenAI o3-mini (High) open-weight?

No. OpenAI o3-mini (High) 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 OpenAI o3-mini (High)?

If OpenAI o3-mini (High) 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.

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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.