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/gpt-4-gizmo-*
O

gpt-4-gizmo-*

输入:$24/M
输出:$48/M
商用
概览
功能亮点
定价
API

Technical Specifications of gpt-4-gizmo-*

SpecificationDetails
Model IDgpt-4-gizmo-*
Provider associationOpenAI GPTs / Custom GPTs ecosystem
Model typeGPT-4-family conversational model variant used for GPTs experiences, based on public references to OpenAI’s custom GPT infrastructure and third-party integrations that expose gpt-4-gizmo-* identifiers.
Primary use caseRunning custom GPT-style assistants tailored with instructions, knowledge files, and optional actions/tools.
Interface patternChat/completions-style API access on aggregator or compatible platforms that map requests to gpt-4-gizmo-* identifiers. OpenAI’s own public documentation describes GPTs as a ChatGPT product rather than a standard public API model family.
Knowledge augmentationSupports GPT-style retrieval workflows conceptually, including uploaded knowledge and semantic search/RAG behaviors in the GPTs product context.
Tooling/actionsAssociated with custom GPTs that can include actions and business workflow integrations in supported ChatGPT plans.
Availability notePublic official documentation focuses on GPTs as a ChatGPT feature. Precise low-level specs such as context window, training cutoff, token pricing, and official direct API guarantees for gpt-4-gizmo-* are not clearly documented by OpenAI in the sources reviewed.

What is gpt-4-gizmo-*?

gpt-4-gizmo-* is commonly used as a platform-facing identifier for GPT-style assistants tied to OpenAI’s custom GPTs ecosystem. OpenAI’s official help documentation explains GPTs as custom versions of ChatGPT that users or organizations can tailor for specific tasks, workflows, departments, or proprietary knowledge bases.

Based on available public evidence, gpt-4-gizmo-* does not appear to be a mainstream standalone OpenAI API model name documented like the standard public API families. Instead, it is better understood as an identifier pattern associated with individual GPTs or “gizmos” exposed through certain third-party or compatibility layers. This is an inference drawn from OpenAI’s GPTs documentation plus third-party references showing model strings such as gpt-4-gizmo-{gizmo_id}.

In practical terms, this model code is useful when a platform such as CometAPI supports routing requests to custom GPT-like endpoints through the gpt-4-gizmo-* naming scheme. That makes it relevant for developers who want access to specialized assistants rather than only a general-purpose base model.

Main features of gpt-4-gizmo-*

  • Custom GPT behavior: Designed around the idea of tailored assistants with persistent instructions and task-specific behavior, aligning with OpenAI’s GPTs concept.
  • Knowledge-grounded responses: Can be associated with uploaded documents or retrieval-based knowledge workflows, which helps the assistant answer using organization-specific or domain-specific information.
  • Task specialization: Suitable for focused use cases such as support, internal enablement, education, research assistance, or workflow automation through specialized prompting and configuration.
  • Potential action integration: GPTs in OpenAI’s ecosystem can include custom actions, suggesting that gpt-4-gizmo-*-style integrations may be used in assistants that connect to external tools or services when supported by the hosting platform.
  • Per-GPT identifier structure: Public third-party references indicate that the wildcard portion in gpt-4-gizmo-* often maps to a specific GPT or gizmo ID, enabling access to different specialized assistants under the same identifier family.
  • Compatibility-layer accessibility: While OpenAI documents GPTs primarily as a ChatGPT product feature, aggregator platforms and compatible gateways may expose them via API-friendly model IDs such as gpt-4-gizmo-*.

How to access and integrate gpt-4-gizmo-*

Step 1: Sign Up for API Key

To start using gpt-4-gizmo-*, first create an account on CometAPI and generate your API key from the dashboard. After signing in, store the key securely and avoid exposing it in client-side code or public repositories.

Step 2: Send Requests to gpt-4-gizmo-* API

Once you have your API key, send requests to the CometAPI-compatible endpoint and specify gpt-4-gizmo-* as the model name.

curl https://api.cometapi.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_API_KEY" \
  -d '{
    "model": "gpt-4-gizmo-*",
    "messages": [
      {
        "role": "user",
        "content": "Explain what this custom GPT is designed to do."
      }
    ]
  }'
from openai import OpenAI

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

response = client.chat.completions.create(
    model="gpt-4-gizmo-*",
    messages=[
        {"role": "user", "content": "Explain what this custom GPT is designed to do."}
    ]
)

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

Step 3: Retrieve and Verify Results

After receiving the response, parse the returned message content and validate that the output matches the intended behavior of the targeted gpt-4-gizmo-* assistant. If your workflow depends on a particular custom GPT configuration, verify prompt behavior, connected knowledge sources, and any downstream tool or action outputs in your application testing.

gpt-4-gizmo-* 的功能

了解 gpt-4-gizmo-* 的核心能力,帮助提升性能与可用性,并改善整体体验。

gpt-4-gizmo-* 的定价

查看 gpt-4-gizmo-* 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:$24/M
输出:$48/M
输入:$30/M
输出:$60/M
-20%

gpt-4-gizmo-* 的示例代码与 API

获取完整示例代码与 API 资源,简化 gpt-4-gizmo-* 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。