模型支持企业博客
500+ AI 模型 API,一次搞定,就在 CometAPI
模型 API
开发者
快速入门文档API 仪表板
资源
AI 模型博客企业更新日志关于
2025 CometAPI。保留所有权利。隐私政策服务条款
Home/Models/OpenAI/o1-pro-all
O

o1-pro-all

输入:$120/M
输出:$480/M
商用
概览
功能亮点
定价
API

Technical Specifications of o1-pro-all

AttributeDetails
Model IDo1-pro-all
Provider familyOpenAI o1 series
Model typeReasoning-focused large language model
Core positioningHigher-compute version of o1 for more reliable answers on difficult tasks
Input modalitiesText, image
Output modalitiesText
Context window200,000 tokens
Max output100,000 tokens
Knowledge cutoffOctober 1, 2023
API compatibilityBest aligned with the Responses API
Reasoning supportYes
Structured outputsSupported
Function callingSupported
StreamingNot supported
Fine-tuningNot supported
DistillationNot supported
Predicted outputsNot supported

What is o1-pro-all?

o1-pro-all is CometAPI’s platform identifier for access to OpenAI’s o1-pro reasoning model. Based on OpenAI’s model documentation, o1-pro is a more compute-intensive version of o1 that is designed to “think harder” before responding, making it suitable for complex reasoning, advanced coding, math-heavy workflows, and high-stakes analytical tasks.

Compared with standard general-purpose models, this model is positioned for accuracy and depth rather than speed. It is slower and significantly more expensive than baseline o1-tier models, but it is intended to deliver more consistent performance on difficult prompts, multi-step problem solving, and expert-oriented workloads. Through CometAPI, o1-pro-all lets developers call this capability using a unified model ID without integrating directly against a single upstream vendor configuration.

Main features

  • Advanced reasoning depth: o1-pro-all is built for tasks that benefit from extra inference-time compute, such as multi-step analysis, formal reasoning, difficult debugging, and technical problem solving.
  • Large context handling: With a 200K-token context window, it can work across long documents, extensive instructions, large codebases, and multi-part conversations.
  • High output ceiling: The model supports up to 100K output tokens, which is useful for long-form reports, detailed explanations, and substantial generated artifacts.
  • Text-and-image input support: It can accept both text and image inputs, enabling workflows where visual material must be analyzed alongside written instructions.
  • Structured integration options: Support for function calling and structured outputs makes it easier to connect the model to production applications, internal tools, and downstream parsers.
  • Reasoning-first tradeoff: This model prioritizes answer quality and consistency over latency, so it is best used when correctness matters more than response speed.
  • Enterprise-friendly aggregation: Through CometAPI, o1-pro-all can be accessed with a unified API layer, simplifying vendor abstraction, routing, and deployment across applications.

How to access and integrate

Step 1: Sign Up for API Key

Sign up on CometAPI and generate your API key from the dashboard. After that, store the key securely as an environment variable so your application can authenticate requests safely.

Step 2: Send Requests to o1-pro-all API

Use CometAPI’s OpenAI-compatible endpoint and set the model field to o1-pro-all.

curl https://api.cometapi.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_API_KEY" \
  -d '{
    "model": "o1-pro-all",
    "messages": [
      {
        "role": "user",
        "content": "Analyze this architecture decision and recommend the best option."
      }
    ]
  }'
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_COMETAPI_API_KEY",
    base_url="https://api.cometapi.com/v1"
)

response = client.chat.completions.create(
    model="o1-pro-all",
    messages=[
        {"role": "user", "content": "Analyze this architecture decision and recommend the best option."}
    ]
)

print(response.choices[0].message.content)

Step 3: Retrieve and Verify Results

Parse the response content from the API result, then validate output quality against your task requirements. For production use, add retries, schema validation, and human review for sensitive reasoning workflows to ensure the model’s conclusions are reliable.

o1-pro-all 的功能

了解 o1-pro-all 的核心能力,帮助提升性能与可用性,并改善整体体验。

o1-pro-all 的定价

查看 o1-pro-all 的竞争性定价,满足不同预算与使用需求,灵活方案确保随需求扩展。
Comet 价格 (USD / M Tokens)官方定价 (USD / M Tokens)折扣
输入:$120/M
输出:$480/M
输入:$150/M
输出:$600/M
-20%

o1-pro-all 的示例代码与 API

获取完整示例代码与 API 资源,简化 o1-pro-all 的集成流程,我们提供逐步指导,助你发挥模型潜能。

更多模型

G

Nano Banana 2

输入:$0.4/M
输出:$2.4/M
核心能力概览:分辨率:最高 4K(4096×4096),与 Pro 相当。参考图像一致性:最多 14 张参考图像(10 个物体 + 4 个角色),保持风格/角色一致性。极端纵横比:新增 1:4、4:1、1:8、8:1 比例,适用于长图、海报和横幅。文本渲染:高级文本生成,适用于信息图和营销海报版式。搜索增强:集成 Google Search + 图片搜索。Grounding:内置思维过程;生成前先对复杂提示进行推理。
A

Claude Opus 4.6

输入:$4/M
输出:$20/M
Claude Opus 4.6 是 Anthropic 的“Opus”级大型语言模型,于 2026 年 2 月发布。其定位为知识工作与研究工作流的主力模型——提升长上下文推理、多步骤规划、工具使用(包括代理型软件工作流),以及计算机使用类任务,如自动生成幻灯片和电子表格。
A

Claude Sonnet 4.6

输入:$2.4/M
输出:$12/M
Claude Sonnet 4.6 是迄今为止我们最强大的 Sonnet 模型。它对模型在编码、计算机使用、长上下文推理、智能体规划、知识工作和设计等方面的能力进行了全面升级。Sonnet 4.6 还在 beta 阶段提供 1M token 上下文窗口。
O

GPT-5.4 nano

输入:$0.16/M
输出:$1/M
GPT-5.4 nano 专为速度和成本最为关键的任务而设计,例如分类、数据提取、排序以及子智能体。
O

GPT-5.4 mini

输入:$0.6/M
输出:$3.6/M
GPT-5.4 mini 将 GPT-5.4 的优势融入到一款更快速、更高效、专为大规模工作负载设计的模型中。
A

Claude Mythos Preview

A

Claude Mythos Preview

即将推出
输入:$60/M
输出:$240/M
Claude Mythos Preview 是我们迄今为止最强大的前沿模型,并显示出 在许多评测基准上的得分相较于我们此前的前沿模型 Claude Opus 4.6 有显著跃升。