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const { OpenAI } = require('openai');
const api = new OpenAI({
baseURL: 'https://api.ai.cc/v1',
apiKey: '',
});
const main = async () => {
const response = await client.responses.create({
model: 'openai/o3-pro',
input: 'Write a one-sentence bedtime story about a unicorn.',
});
console.log(response.output_text);
};
main();
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.ai.cc/v1",
api_key="",
)
response = client.responses.create(
model="openai/o3-pro",
input="Write a one-sentence bedtime story about a unicorn."
)
print(response.output_text)
-
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Product Detail
Unveiling OpenAI's o3-Pro model, an advanced AI solution meticulously crafted for demanding enterprise applications. This powerful model excels in delivering precision logic, superior coding accuracy, and efficient document processing. With its capacity for deterministic outputs, deep chain-of-thought reasoning, and extensive context handling, o3-Pro stands as a leading choice for businesses seeking reliable and sophisticated AI capabilities.
Technical Specifications: Powering Enterprise AI
🚀 Performance Benchmarks
- Context Window: Up to 200,000 tokens, enabling comprehensive analysis of large datasets.
- Maximum Output: Generates outputs of up to 100,000 tokens.
-
API Pricing: Highly competitive for enterprise use:
- Input tokens: $21 per million
- Output tokens: $84 per million
✅ Core Performance Metrics
- Advanced Reasoning: Excels in multi-step logic and complex problem-solving scenarios.
- Deterministic Outputs: Ensures reproducible results through precise seed control, crucial for auditing and consistency.
- Structured Output Formats: Reliably generates JSON, tables, and other formatted text, simplifying data integration.
- Tool Integration: Achieves a high success rate for function and tool calls, enhancing automation workflows.
- Long-Context Mastery: Highly effective with extensive documents such as legal contracts, detailed policies, and RAG pipelines.
💡 Key Capabilities at a Glance
- Chain-of-thought reasoning for transparent and explainable AI decisions.
- Seed-based determinism ensuring consistent outputs.
- Robust JSON and structured output support.
- Highly reliable function calling for seamless tool integration.
- Exceptional large context handling for complex data sets.
Optimal Use Cases for OpenAI o3-Pro
- Legal & Compliance: Policy parsing, contract summarization, and automated flagging of critical clauses, enhancing legal workflows.
- Financial Reporting: Advanced data analysis, projection summaries, and detailed report generation for financial institutions.
- Technical Documentation: Creation of multi-part guides, specification generation, and automated documentation updates.
- Code Refactoring & Development: Intelligent code reviews, modularization assistance, and large-scale code updates, boosting developer productivity.
- Business Planning & Strategy: Aiding in strategy drafting and RAG-powered Q&A for informed decision-making.
Code Samples
Access practical integration examples for o3-Pro through the dedicated API snippet:
<snippet data-name="open-ai.response-api" data-model="openai/o3-pro" rel="nofollow"></snippet>(This snippet provides a representation for quick API integration.)
o3-Pro: A Comparative Edge
- 🆚 vs. o3: While the standard o3 model offers solid instruction-following, o3-Pro elevates performance with a significantly higher context length (200K vs. 100K), stronger alignment, and priority throughput. This makes o3-Pro the superior choice for rigorous analytical and complex agent-based workflows.
- 🆚 vs. GPT‑4o: GPT‑4o excels in multimodal input support (text, image, audio). In contrast, o3-Pro is specifically optimized for cost-efficiency, highly deterministic outputs, and deep technical reasoning, making it ideal for text-centric enterprise tasks.
- 🆚 vs. Command R+: Command R+ boasts faster generation and high throughput. o3-Pro, however, provides stronger instruction alignment and unparalleled reliability over longer contexts, crucial for tasks requiring precision over speed.
⚠️ Known Limitations
- No Multimodal I/O: Does not support image, audio, or video input/output.
- Sequential Tool Calls: Tool calls are executed sequentially, not in parallel.
- Streaming Determinism: Determinism via seed may be less consistent in streaming mode.
- Closed-Source: The model is closed-source; local hosting is not an option.
API Integration: Get Started
OpenAI o3-Pro is readily accessible via the AI/ML API. For comprehensive implementation details and documentation, please refer to the official documentation available here.
❓ Frequently Asked Questions (FAQ)
1. What are the key advantages of OpenAI o3-Pro over the standard o3 model?
o3-Pro offers a significantly larger context window (200,000 tokens vs. 100,000), stronger instruction alignment, and priority throughput, making it ideal for more demanding analytical and agent-based tasks.
2. What kind of outputs can I expect from o3-Pro regarding structured data?
o3-Pro reliably generates structured outputs such as JSON, tables, and other formatted text, simplifying data extraction and integration into various systems.
3. Is o3-Pro suitable for legal document processing?
Yes, with its long-context mastery and advanced reasoning capabilities, o3-Pro is highly effective for legal tasks like policy parsing, contract summarization, and flagging critical information.
4. Can o3-Pro handle multimodal inputs like images or audio?
No, a current limitation of o3-Pro is that it does not support image, audio, or video input/output. It is primarily optimized for text-based tasks.
5. How does o3-Pro ensure consistent results?
o3-Pro offers seed-based determinism, which allows for reproducible results, a critical feature for applications requiring high consistency and auditability.
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