Community Sentiment
Mostly Positive
Based on Reddit reviewsCommunity Verdict
Best for Vision Reasoning
Input Modalities
Text, ImagesOutput Modalities
TextPrice / 1M tokens
$15$60
InputOutput
Best For
Complex multi-step reasoning
Scientific tasks needing deep analysis
Advanced coding and math problems
Image-based reasoning (vision support)
Structured JSON and function calling
API/data source integrations
200K context for in-depth analysis
Accuracy/speed control via reasoning effort
Custom tone via developer messages
60% fewer reasoning tokens vs o1-preview
Avoid For
Resource-limited environments (heavy compute)
Simple tasks (use cheaper models)
Budget-restricted projects
Non-tier-5 users ($1K+ spend required)
When o3/o4-mini offer enough accuracy
Real-time response needs
Audio/video inputs (unsupported)
Tasks needing fine-tuning (unsupported)
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 API parameters and allowed values.
| Parameter | Description | Path | Supported Values |
|---|---|---|---|
| Model | Selects the model version for the request | model | o1o1-2024-12-17 |
| 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
o1 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$15.00
Cached input$7.50
Output$60.00
Example costs (o1)
TASK
APPROX COST
Complex reasoning task
~$0.50–$2.00
Scientific problem solving
~$1.00–$5.00
Vision reasoning task
~$0.75–$3.00
Modalities
What the model can accept and produce
TextInput and output
ImagesInput only
AudioNot supported
VideoNot supported
Features
Platform-level capabilities
StreamingSupported
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 model snapshots ensure stable behavior by locking a specific version. See all available snapshots and aliases below.
o1
↪ o1-2024-12-17o1-2024-12-17
FAQs
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