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OpenAI: o1-preview

OpenAI: o1-preview

OpenAI’s Lightweight Open Model for API Prototyping, Agents, and CLI Tools

Context: 128 000 tokens
Output: 100 000 tokens
Modality:
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OpenAI’s Lightweight Open-Weight Model for API-First Prototyping and Private Deployment

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o1-preview is the pre-release version of OpenAI’s lightweight open-weight model line, designed for transparent, cost-efficient, and fast-inference applications. Ideal for experimentation and low-latency deployment, o1-preview demonstrates OpenAI’s shift toward open models while still offering practical performance in common NLP and automation tasks.

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Available via AnyAPI.ai, o1-preview helps developers prototype and scale AI-powered workflows without relying on proprietary infrastructure or vendor lock-in.

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Key Features of o1-preview

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Open Weights, Developer-Friendly License

Freely downloadable and modifiable for local or API use under a permissive license.

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Low Latency (~200–300ms)

Performs well for embedded tools, internal agents, and fast-turnaround NLP tasks.

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Optimized for Utility Tasks

Trained for classification, summarization, chat, and command-following with reasonable accuracy.

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Flexible Deployment

Run o1-preview in Docker, serverless, Hugging Face endpoints, or via AnyAPI.ai’s cloud.

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Use Cases for o1-preview

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CLI Agents and Automation Bots

Use o1-preview for natural language interface layers on internal tools and shell utilities.

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Fast Email and Document Generation

Build lightweight apps for form-filling, templated replies, or report generation.

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Chat-Driven SaaS Interfaces

Deploy as a backend for chatbot UI, internal helpdesk, or product onboarding guides.

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Secure, Self-Hosted AI

Run o1-preview on-premise for compliance-sensitive applications or regional requirements.

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Fine-Tuning and Instruction Prompting

Test and fine-tune workflows on top of open weights before scaling to larger models.


Why Use o1-preview via AnyAPI.ai

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Zero Setup, Instant Access

Use o1-preview in production without managing weights or containers.

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Unified SDK Across Open and Proprietary Models

Query o1-preview alongside GPT, Claude, Gemini, and more through one API key.

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Cost-Effective for High-Frequency Apps

Run batch jobs, chatbot backends, or live agents affordably.

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Better Performance than HF Inference or OpenRouter

Higher uptime and faster cold starts in hosted environments.

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Developer Tools and Observability

Track token usage, latency, logs, and errors in a unified dashboard.

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Deploy OpenAI’s Lightweight Preview Model Anywhere

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o1-preview balances speed, openness, and flexibility—perfect for modern prototyping, lightweight automation, and internal copilots.

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Try o1-preview on AnyAPI.ai to launch your AI workflows with minimal friction.
Sign up, get your key, and start deploying today.

Comparison with other LLMs

Model
Context Window
Multimodal
Latency
Strengths
Model
OpenAI: o1-preview
Context Window
128k
Multimodal
Yes
Latency
Very Fast
Strengths
Prototyping, CLI tools, agents
Get access
Model
OpenAI: o1
Context Window
200k
Multimodal
Yes
Latency
Very Fast
Strengths
Internal tools, scripting, fast UX
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Model
OpenAI: Codex Mini
Context Window
200k
Multimodal
Yes
Latency
Fast
Strengths
Real-time IDE codegen, Bash scripts
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Model
Mistral: Mistral Tiny
Context Window
32k
Multimodal
No
Latency
Fast
Strengths
CLI tools, extensions, small agents
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Model
Mistral: Mistral Medium
Context Window
32k
Multimodal
No
Latency
Very Fast
Strengths
Open-weight, lightweight, ideal for real-time
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Model
DeepSeek: DeepSeek R1
Context Window
164k
Multimodal
No
Latency
Fast
Strengths
RAG, code, private LLMs
Get access

Sample code for 

OpenAI: o1-preview

Python
JavaScript
Curl
import requests

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

payload = {
    "stream": False,
    "tool_choice": "auto",
    "logprobs": False,
    "model": "o1-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": "o1-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":"o1-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":"o1-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": "o1-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": "o1-preview", "messages": [ { "role": "user", "content": "Hello" } ] }'
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Code is copied
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FAQs

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

What is o1-preview used for?

Ideal for early-stage apps, fast prototyping, and AI-driven internal automation.

Can I use o1-preview commercially?

Yes, under its permissive open-weight license.

Is o1-preview smaller than o1 or o1-pro?

It is similar in architecture to o1, but may differ in training data or fine-tuning.

Can I host o1-preview locally?

Yes. Or access it via AnyAPI.ai’s optimized infrastructure.

Does it support multilingual generation?

Yes, in a limited capacity for short prompts and common global languages.

Still have questions?

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