OpenAI o3-Pro API | AIMLAPI (original) (raw)
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OpenAI o3-Pro
o3‑Pro is OpenAI’s advanced model focused on precision, reasoning, and reliability for enterprise and developer use.
OpenAI o3‑Pro Description
OpenAI’s o3‑Pro is a model optimized for enterprise-grade logic, coding accuracy, and document processing. It delivers deterministic outputs, rich chain-of-thought reasoning, and extensive context handling.
Technical Specification
Performance Benchmarks
- Context Window: 200,000 tokens
- Max Output: 100,000 tokens
- API Pricing:
- Input tokens: $26 per million
- Output tokens: $104 per million
Performance Metrics
- Advanced Reasoning: excels in multi-step logic and complex problem solving
- Deterministic Outputs: reproducible results using seed control
- Structured Output Formats: reliable JSON, tables, and formatted text
- Tool Integration: high success rate for function/tool calls
- Long-Context Mastery: effective with legal docs, contracts, and RAG pipelines
Metrics
Key Capabilities
- Chain-of-thought reasoning
- Seed-based determinism
- JSON and structured output support
- Reliable function calling
- Large context handling
Code Samples
Comparison with Other Models
- vs. o3: The standard o3 model provides solid instruction-following with moderate pricing. o3‑Pro improves upon it with higher context length (200K vs. 100K), stronger alignment, and priority throughput, making it more suitable for demanding analytical and agent-based workflows.
- vs. GPT‑4o: GPT‑4o supports multimodal input (text, image, audio, browsing). o3‑Pro excels in cost-efficiency, deterministic outputs, and deep technical reasoning.
- vs. Command R+: Command R+ offers faster generation and high throughput. o3‑Pro delivers stronger instruction alignment and reliability over longer contexts.
Limitations
- Does not support image, audio, or video I/O
- Tool calls are sequential, not parallel
- Determinism via seed may be less consistent in streaming mode
- Model is closed-source; no local hosting
API Integration
Accessible via AI/ML API. Documentation: available here.
OpenAI o3‑Pro Description
OpenAI’s o3‑Pro is a model optimized for enterprise-grade logic, coding accuracy, and document processing. It delivers deterministic outputs, rich chain-of-thought reasoning, and extensive context handling.
Technical Specification
Performance Benchmarks
- Context Window: 200,000 tokens
- Max Output: 100,000 tokens
- API Pricing:
- Input tokens: $26 per million
- Output tokens: $104 per million
Performance Metrics
- Advanced Reasoning: excels in multi-step logic and complex problem solving
- Deterministic Outputs: reproducible results using seed control
- Structured Output Formats: reliable JSON, tables, and formatted text
- Tool Integration: high success rate for function/tool calls
- Long-Context Mastery: effective with legal docs, contracts, and RAG pipelines
Metrics
Key Capabilities
- Chain-of-thought reasoning
- Seed-based determinism
- JSON and structured output support
- Reliable function calling
- Large context handling
Code Samples
Comparison with Other Models
- vs. o3: The standard o3 model provides solid instruction-following with moderate pricing. o3‑Pro improves upon it with higher context length (200K vs. 100K), stronger alignment, and priority throughput, making it more suitable for demanding analytical and agent-based workflows.
- vs. GPT‑4o: GPT‑4o supports multimodal input (text, image, audio, browsing). o3‑Pro excels in cost-efficiency, deterministic outputs, and deep technical reasoning.
- vs. Command R+: Command R+ offers faster generation and high throughput. o3‑Pro delivers stronger instruction alignment and reliability over longer contexts.
Limitations
- Does not support image, audio, or video I/O
- Tool calls are sequential, not parallel
- Determinism via seed may be less consistent in streaming mode
- Model is closed-source; no local hosting
API Integration
Accessible via AI/ML API. Documentation: available here.