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OpenAI: GPT-4o-mini Search Preview

OpenAI: GPT-4o-mini Search Preview

OpenAI’s Experimental Mini LLM for Fast Search Agents and Lightweight API Apps

Context: 128 000 tokens
Output: 16 000 tokens
Modality:
Text
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OpenAI’s Lightweight Model for Speed, Cost Efficiency, and Search-Augmented AI

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GPT-4o-mini Search Preview is a compact version of OpenAI’s GPT-4o, designed for fast inference, low operational cost, and streamlined integration into AI-powered search and conversational systems. Released as part of OpenAI’s experimental rollout, GPT-4o-mini balances efficiency with accuracy—making it ideal for startups, real-time chat interfaces, and high-volume enterprise apps.

Now available via AnyAPI.ai, GPT-4o-mini can be accessed without OpenAI credentials, providing flexible and scalable integration into your existing workflows.

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Key Features of GPT-4o-mini

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Optimized for Search and RAG Pipelines

Engineered to work as the reasoning core in retrieval-augmented generation systems, grounding answers in external sources with speed and reliability.

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Fast Inference (~100–300ms)

Handles requests quickly, ensuring responsive user experiences in web apps and conversational tools.

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Multilingual Support

Capable of generating fluent text in 15+ languages, broadening reach for global applications.

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Lightweight but Aligned

Provides concise, safe, and instruction-following outputs with fewer refusals compared to earlier lightweight models.

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Use Cases for GPT-4o-mini

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Search-Driven AI Assistants

Pair with search indexes or vector stores to provide fast, context-grounded responses.

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Customer-Facing Chatbots

Deploy in e-commerce, SaaS, and support systems for instant replies and cost-efficient scaling.

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Internal Tools and Dashboards

Automate responses, summarize tickets, or tag data in CRMs and enterprise dashboards.

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Browser Extensions and Plugins

Embed GPT-4o-mini into lightweight client apps that require ultra-fast API responses.

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Low-Cost SaaS Integrations

Perfect for startups scaling to thousands of queries daily without high compute bills.

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Why Use GPT-4o-mini via AnyAPI.ai

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No OpenAI Account Needed

Access GPT-4o-mini instantly through AnyAPI.ai, without vendor lock-in.

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Unified API Across All Models

Query GPT-4o-mini alongside GPT-4o, Claude, Gemini, Mistral, and others with one API key.

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Pay-As-You-Go Billing

Scale affordably while keeping usage transparent and predictable.

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Developer-Friendly Tools

Integrations with REST, Python, JS, and Postman make setup simple and fast.

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More Reliable Than OpenRouter or HF Inference

Production-ready observability, logging, and uptime SLAs included.

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Build Fast, Scalable AI with GPT-4o-mini

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GPT-4o-mini Search Preview is the cost-efficient, fast, and safe option for building responsive AI chat and search tools.

Access GPT-4o-mini via AnyAPI.ai - sign up, get your API key, and deploy in minutes.

Comparison with other LLMs

Model
Context Window
Multimodal
Latency
Strengths
Model
OpenAI: GPT-4o-mini Search Preview
Context Window
128k
Multimodal
No
Latency
Very Fast
Strengths
Lightweight chat, RAG, UI agents
Get access
Model
OpenAI: GPT-4.1 Nano
Context Window
1mil
Multimodal
Yes
Latency
Ultra Fast
Strengths
Mobile, edge, CLI tools, browser assistants
Get access
Model
OpenAI: GPT-3.5 Turbo
Context Window
16k
Multimodal
No
Latency
Very fast
Strengths
Affordable, fast, ideal for lightweight apps
Get access
Model
Mistral: Mistral Medium
Context Window
32k
Multimodal
No
Latency
Very Fast
Strengths
Open-weight, lightweight, ideal for real-time
Get access
Model
Anthropic: Claude Haiku 3.5
Context Window
200k
Multimodal
No
Latency
Ultra Fast
Strengths
Lowest latency, cost-effective, safe outputs
Get access

Sample code for 

OpenAI: GPT-4o-mini Search Preview

Python
JavaScript
Curl
import requests

url = "https://api.anyapi.ai/v1/chat/completions"

payload = {
    "stream": False,
    "tool_choice": "auto",
    "logprobs": False,
    "model": "gpt-4o-mini-search-preview",
    "messages": [
        {
            "role": "user",
            "content": "Hello"
        }
    ]
}
headers = {
    "Authorization": "Bearer AnyAPI_API_KEY",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())
import requests url = "https://api.anyapi.ai/v1/chat/completions" payload = { "stream": False, "tool_choice": "auto", "logprobs": False, "model": "gpt-4o-mini-search-preview", "messages": [ { "role": "user", "content": "Hello" } ] } headers = { "Authorization": "Bearer AnyAPI_API_KEY", "Content-Type": "application/json" } response = requests.post(url, json=payload, headers=headers) print(response.json())
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const url = 'https://api.anyapi.ai/v1/chat/completions';
const options = {
  method: 'POST',
  headers: {
    Authorization: 'Bearer AnyAPI_API_KEY',
    'Content-Type': 'application/json'
  },
  body: '{"stream":false,"tool_choice":"auto","logprobs":false,"model":"gpt-4o-mini-search-preview","messages":[{"role":"user","content":"Hello"}]}'
};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}
const url = 'https://api.anyapi.ai/v1/chat/completions'; const options = { method: 'POST', headers: { Authorization: 'Bearer AnyAPI_API_KEY', 'Content-Type': 'application/json' }, body: '{"stream":false,"tool_choice":"auto","logprobs":false,"model":"gpt-4o-mini-search-preview","messages":[{"role":"user","content":"Hello"}]}' }; try { const response = await fetch(url, options); const data = await response.json(); console.log(data); } catch (error) { console.error(error); }
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Code is copied
curl --request POST \
  --url https://api.anyapi.ai/v1/chat/completions \
  --header 'Authorization: Bearer AnyAPI_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
  "stream": false,
  "tool_choice": "auto",
  "logprobs": false,
  "model": "gpt-4o-mini-search-preview",
  "messages": [
    {
      "role": "user",
      "content": "Hello"
    }
  ]
}'
curl --request POST \ --url https://api.anyapi.ai/v1/chat/completions \ --header 'Authorization: Bearer AnyAPI_API_KEY' \ --header 'Content-Type: application/json' \ --data '{ "stream": false, "tool_choice": "auto", "logprobs": false, "model": "gpt-4o-mini-search-preview", "messages": [ { "role": "user", "content": "Hello" } ] }'
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Code is copied
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Code examples coming soon...

FAQs

Answers to common questions about integrating and using this AI model via AnyAPI.ai

What is GPT-4o-mini Search Preview used for?

Fast-response assistants, lightweight search agents, and real-time multilingual interfaces.

How does it differ from GPT-4o?

It is faster and smaller, with reduced reasoning depth and a shorter context window.

Can I access GPT-4o-mini without an OpenAI account?

Yes. AnyAPI.ai offers full access without OpenAI login or rate caps.

Is GPT-4o-mini suitable for coding or dev tools?

Yes—for scripting, code comments, and simple dev tasks, though not for complex logic.

Does it support multilingual output?

Yes, it performs well in over 15 global languages.

Still have questions?

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