OpenAI: o1-preview (2024-09-12)

OpenAI’s First Open-Weight Model for Lightweight, API-First Development

Context: 128 000 tokens
Output: 32 000 tokens
Modality:
Text
FrameFrame

OpenAI’s Early Open-Weight Model for Lightweight, Transparent LLM Deployment

o1-preview (2024-09-12) is OpenAI’s first released open-weight language model, offering developers and ML teams a fast, transparent, and flexible alternative to closed APIs. Released under a commercial-friendly license and optimized for local inference, cost-efficient API access, and internal automation, o1-preview marks OpenAI’s shift toward open models with practical use in real-world workflows.

Now accessible via AnyAPI.ai, o1-preview provides lightweight performance through a unified API for experimentation, scripting, and fast product development.

Key Features of o1-preview (2024-09-12)

Fully Open-Weight (Commercial License)

Download, host, and fine-tune freely for private, SaaS, or offline use.

Optimized for Speed and Simplicity

Delivers ~200–300ms latency with lightweight inference ideal for fast-turnaround tasks.

Efficient Context and Instruction Following

Handles prompts up to 8k tokens and performs well on summarization, classification, and light reasoning.

Multilingual and Task-General

Supports English and core global languages for basic generation and automation use cases.

Available via API or Self-Hosting

Run o1-preview on bare metal, Docker, or access it directly via AnyAPI.ai endpoints.

Use Cases for o1-preview (2024-09-12)

Internal Tools and Dashboards

Integrate into CRMs, admin panels, or SaaS backends to automate responses and report generation.

Developer Copilots and CLI Bots

Add scripting support, command explanation, and lightweight coding suggestions in dev environments.

Real-Time Template Filling and Forms

Draft text for form fields, customer outreach, and ticket summarization at scale.

Self-Hosted and Air-Gapped Inference

Ideal for compliance-bound or offline deployments, including regulated industries.

Instruction-Following Testbed

Prototype prompt chains and refine agent flows with deterministic, open-weight behavior.


Why Use o1-preview via AnyAPI.ai

No Setup Required

Skip the infrastructure complexity and start using o1-preview via REST or SDK instantly.

Unified LLM Access Across Open and Closed Models

Switch between o1-preview, GPT, Claude, Mistral, and Gemini with one integration.

Transparent, Pay-As-You-Go Pricing

No subscriptions or hidden fees—track token usage and cost per call.

Better Observability and Uptime Than OpenRouter or HF

Built for production workloads with logs, metrics, and team access tools.

Ideal for Lightweight Apps and High-Throughput Workflows

Use o1-preview in environments where cost and simplicity matter.

Try o1-preview for Fast, Transparent Language AI

o1-preview is OpenAI’s open-weight entry point for developers building responsive, low-cost NLP tools.

Integrate o1-preview (2024-09-12) with AnyAPI.ai -start building real-time, lightweight AI solutions today.

Comparison with other LLMs

Model
Context Window
Multimodal
Latency
Strengths
Model
OpenAI: o1-preview (2024-09-12)
Context Window
128k
Multimodal
No
Latency
Very Fast
Strengths
Internal apps, local scripting
Get access
Model
Mistral: Mistral Tiny
Context Window
32k
Multimodal
No
Latency
Fast
Strengths
CLI tools, extensions, small agents
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
DeepSeek: DeepSeek R1
Context Window
164k
Multimodal
No
Latency
Fast
Strengths
RAG, code, private LLMs
Get access
Model
OpenAI: o1
Context Window
200k
Multimodal
Yes
Latency
Very Fast
Strengths
Internal tools, scripting, fast UX
Get access

Sample code for 

OpenAI: o1-preview (2024-09-12)

import requests

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

payload = { 
    "model": "o1-preview-2024-09-12",
    "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 = { "model": "o1-preview-2024-09-12", "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: '{"model":"o1-preview-2024-09-12","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: '{"model":"o1-preview-2024-09-12","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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curl --request POST \
  --url https://api.anyapi.ai/v1/chat/completions \
  --header 'Authorization: Bearer AnyAPI_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "o1-preview-2024-09-12",
  "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 '{ "model": "o1-preview-2024-09-12", "messages": [ { "role": "user", "content": "Hello" } ] }'
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FAQs

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

What makes o1-preview different from o1?

It’s the initial preview version—smaller training scope and more tuned for early testing and scripting.

Can I use o1-preview for commercial projects?

Yes. It’s licensed for full commercial use, including SaaS and internal tools.

How does o1-preview perform on code and math?

Best for lightweight tasks like scripting, CLI commands, and simple summarization—less suitable for complex reasoning.

Is o1-preview self-hostable?

Yes. It runs on GPU, CPU, or cloud using open-source inference stacks.

Can I access it without OpenAI credentials?

Yes. AnyAPI.ai provides turnkey access via API without requiring OpenAI login.

Still have questions?

Contact us for more information

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