Community Sentiment
Mixed
Based on Reddit reviewsCommunity Verdict
Best for Maximum Accuracy
Input Modalities
Text, ImagesOutput Modalities
TextPrice / 1M tokens
$150$600
InputOutput
Best For
Highest-accuracy complex reasoning
Deep scientific analysis
Advanced math and theoretical work
Complex coding with full solutions
Legal and high-stakes decisions
Financial modeling and planning
Function calling & structured JSON
Vision tasks (image input)
200K context for long documents
High-volume jobs via Batch API
Avoid For
Cost-sensitive use (10× o1 pricing)
Real-time or streaming (not supported)
Simple tasks (overkill)
Fine-tuning (not supported)
Chat or Assistants APIs (not supported)
Audio/video input (not supported)
Low-budget or indie projects
When o1/o3-pro are accurate enough
Interactive/low-latency applications
200,000 context window
100,000 max output tokens
Dec 1, 2023 knowledge cutoff
Reasoning supported
Parameters
While OpenAI documents a unified parameter set for the Chat Completions and Responses APIs, each model supports only a limited subset of model-specific parameters and values. This table lists the supported model-specific o1 Pro API parameters and allowed values.
| Parameter | Description | Path | Supported Values |
|---|---|---|---|
| Model | Selects the model version for the request | model | o1-pro |
| Message roles | Defines the role of the message in the input | messages[].role | developersystemuserassistant |
| Reasoning effort | Controls the depth of internal reasoning used by the model | reasoning_effort | lowmediumhigh |
| Reasoning summary | Controls whether the model produces a concise or detailed reasoning summary | reasoning_summary | auto |
| Max output tokens | Max output tokens the model may generate | max_completion_tokens | 16 .. 100,000 |
| Verbosity | Controls how brief or detailed the generated response is | verbosity | medium |
| Output format | Specifies the output format, including structured JSON schemas | response_format | textjson_objectjson_schema |
| Temperature | Controls how random or deterministic the output is | temperature | Not supported |
| Top P | Controls how diverse the output tokens are | top_p | Not supported |
| Presence penalty | Encourages the model to introduce new topics | presence_penalty | Not supported |
| Frequency penalty | Reduces repetition of the same words or phrases | frequency_penalty | Not supported |
Pricing
o1 Pro API pricing is based on token usage for input and output. Prices are listed per 1M tokens, with lower rates for cached input. Tool-specific features may add per-call fees.
Text tokens
Per 1M tokens
Input$150.00
Cached inputN/A
Output$600.00
Example costs (o1 Pro)
TASK
APPROX COST
Complex scientific analysis
~$10.00–$50.00
Advanced math problem
~$5.00–$25.00
Legal analysis
~$15.00–$75.00
Modalities
What the model can accept and produce
TextInput and output
ImagesInput only
AudioNot supported
VideoNot supported
Features
Platform-level capabilities
StreamingNot supported
Function callingSupported
Structured outputsSupported
Fine-tuningNot supported
DistillationNot supported
Predicted outputsNot supported
Tools
Tools supported by this model when using the Responses API.
Web searchNot supported
File searchSupported
Image generationNot supported
Code interpreterSupported
MCPSupported
Computer useNot supported
Snapshots
o1 Pro model snapshots ensure stable behavior by locking a specific version. See all available snapshots and aliases below.
o1-pro
↪ o1-pro-2025-03-19o1-pro-2025-03-19
FAQs
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