Community Sentiment
Mostly Positive
Based on Reddit reviewsCommunity Verdict
Best for Maximum Accuracy
Input Modalities
Text, ImagesOutput Modalities
TextPrice / 1M tokens
$20$80
InputOutput
Best For
Maximum-reliability reasoning
Complex research and deep analysis
Advanced math and coding tasks
Strategic planning and business analysis
Accurate educational content
Tool use (search, files, Python)
Visual reasoning and image analysis
200K context for long docs
High-stakes use (accuracy > speed)
Multi-turn flows via Responses API
Avoid For
Real-time or time-sensitive tasks (slow replies)
Image generation (unsupported; use o3/o4/o4-mini)
Canvas-required workflows (unsupported)
High-volume, cost-sensitive use (10× o3 cost)
Simple tasks handled by o3/o4-mini
Fast interactive chat
Post–June 1, 2024 knowledge needs
Temporary chats (currently disabled)
200,000 context window
100,000 max output tokens
Jun 1, 2024 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 o3 Pro API parameters and allowed values.
| Parameter | Description | Path | Supported Values |
|---|---|---|---|
| Model | Selects the model version for the request | model | o3-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 | detailedauto |
| 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
o3 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$20.00
Cached inputN/A
Output$80.00
Example costs (o3 Pro)
TASK
APPROX COST
Complex scientific analysis
~$2.00–$10.00
Advanced math problem
~$1.00–$5.00
Strategic business analysis
~$3.00–$15.00
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 searchSupported
File searchSupported
Image generationSupported
Code interpreterSupported
MCPSupported
Computer useNot supported
Snapshots
o3 Pro model snapshots ensure stable behavior by locking a specific version. See all available snapshots and aliases below.
o3-pro
↪ o3-pro-2025-06-10o3-pro-2025-06-10
FAQs
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