Inteligência em modelos de IA

OpenAI o1-mini

openai/o1-mini

Por OpenAI · família: o-mini · lançado 2024-09-12 · data de conhecimento: 2023-09

$1.10
Entrada / 1M tokens
$4.40
Saída / 1M tokens
128K
Janela de contexto
66K
Saída máxima

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

Capacidades

Tool callingRaciocínio? Saída estruturadaAnexosPesos abertosControle de temperatura
Modalidades: entrada text · saída 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.

Coding16
  • Tool calling0/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)2/20
  • Provider availability4/10
Agents34
  • Tool calling0/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability4/10
JSON / structured output9
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control0/10
  • Price-friendly for high-volume9/20
Cost efficiency49
  • Headline price (log-scaled)44/95
  • Has prompt-cache pricing5/5
Long context45
  • Context window (100K → 2M)35/90
  • Has published price for full window10/10
Production-readiness78
  • Number of independent providers20/40
  • 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
$7.70
< $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
$15.40
< $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
$4.40
< $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
$13.20
$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
$15.84
$0.02 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Detalhes de preço

Preço recomendado de azure · o1-mini

$1.10
Entrada
$4.40
Saída
$0.550
Leitura de cache

Provedor mais barato: github-models · Unknown entrada + Unknown saída

Disponível em 4 provedores

ProvedorID do modelo do provedorEntrada / 1MSaída / 1MContextoLançado
GitHub Models
github-models
openai/o1-miniUnknownUnknown128K2024-09-12
Azure
azure
o1-mini$1.10$4.40128K2024-09-12
Azure Cognitive Services
azure-cognitive-services
o1-mini$1.10$4.40128K2024-09-12
Helicone
helicone
o1-mini$1.10$4.40128K2025-01-01

Inconsistências de dados entre provedores

  • release_date varies (span 111d): 2024-09-12, 2025-01-01

Os provedores reportam valores diferentes para este modelo. Os dados rápidos acima usam um provedor representativo; consulte a tabela para detalhes por provedor.

Frequently asked questions

How much does OpenAI o1-mini cost?

OpenAI o1-mini costs $1.10 per 1M input tokens and $4.40 per 1M output tokens, sourced from azure. 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 o1-mini?

OpenAI o1-mini has a context window of 128K tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.

Does OpenAI o1-mini support tool calling?

No. OpenAI o1-mini does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does OpenAI o1-mini support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for OpenAI o1-mini in our data source. Verify with OpenAI's official documentation before relying on it in production.

Can OpenAI o1-mini accept image input?

No. OpenAI o1-mini only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is OpenAI o1-mini open-weight?

No. OpenAI o1-mini 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 o1-mini?

If OpenAI o1-mini doesn't fit, consider gpt-oss-120b, GPT-5.4, 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

More OpenAI models

Última atualização:

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.