OpenAI o3-Pro overview
OpenAI o3-Pro by OpenAI
o3‑Pro delivers deterministic outputs and enhanced reasoning capabilities, particularly in long-form generation and code-based tasks. Designed for structured environments and technical domains, it strikes a balance between power and consistency.
OpenAI o3-Pro specs
- Model ID
openai/o3-pro- Developer
- OpenAI
- Context window
- 200,000 tokens
- Input
- Text
- Output
- Text, Image
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
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.
Performance Benchmarks
- Context Window: 200,000 tokens
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
Key Capabilities
- JSON and structured output support
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
Use cases
- Technical Writing: Generates accurate, structured documentation or whitepapers.
- Enterprise Reasoning: Handles multi-step, logic-heavy decision support.
- Legal & Compliance: Analyzes policy documents and generates audit-ready summaries.
- Code Analysis: Refactors, explains, and verifies complex codebases.
- Financial Modeling: Parses spreadsheets and translates numeric data into executive-ready insights.
Capabilities
- Function calling
- Streaming
- Structured outputs
- Reasoning
- Web search
OpenAI o3-Pro benchmarks by 
Artificial Analysis
See how OpenAI o3-Pro scores on independent evaluations. Data retrieved Nov 3, 2026.
Benchmark results
Compare 5 models available on AI/ML API across 1 independent benchmark.
GPQA Diamond
Graduate-level science questions written to resist web search.
OpenAI o3-Pro API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $21.16 | 1M tokens |
| Output | $84.64 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
OpenAI o3-Pro vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
 OpenAI o3-Pro | $21.16 | $84.64 |
| GPT-6 Luna | $0.1 | $0.5 |
| GPT-6.1 Terra | $1 | $5 |
| GPT-6.1 Sol | $2 | $10 |
| GPT-6.1 Terra Pro | $2.12 | $10.58 |
How to use the OpenAI o3-Pro API
View docs
Build with your agent
Give your agent the model details, code and documentation.
1Get your API key
Create API keyexport AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"2Make your first request
curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "openai/o3-pro",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "openai/o3-pro",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "openai/o3-pro",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Models similar to OpenAI o3-Pro
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OpenAI o3-Pro FAQ
What is the context window of OpenAI o3-Pro?
OpenAI o3-Pro has a 200,000 tokens context window.
What inputs and outputs does OpenAI o3-Pro support?
OpenAI o3-Pro takes image, text as input and returns text.
What is the model ID for OpenAI o3-Pro?
Use openai/o3-pro as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
How much does OpenAI o3-Pro cost?
OpenAI o3-Pro costs $21.16 input and $84.64 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Does OpenAI o3-Pro support streaming?
Yes, OpenAI o3-Pro can stream responses as they are generated.
Can OpenAI o3-Pro read images?
Yes, OpenAI o3-Pro accepts image input alongside text.
Who created OpenAI o3-Pro?
OpenAI o3-Pro was built by OpenAI.
Does o3-Pro have built-in reasoning capabilities?
Yes, o3-Pro is designed as a reasoning model with deep deliberation for complex tasks.