OpenAI: o1-pro (batch)✓ Catalog verified
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...
Overview
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...
Access: available through the official OpenAI API. Context window: 200K.
Specifications
| API identifier | openai/o1-pro:batch |
| Provider | OpenAI |
| Model type | Multimodal LLM |
| Context window | 200K catalog |
| Input modalities | text · image · file |
| Output modalities | text |
| Released | Mar 19, 2025 |
| Tokenizer | GPT |
| Moderated | Yes |
| Architecture modality | text+image+file->text |
Pricing
Live pricing components for openai/o1-pro:batch as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $0.000075 | $75.00 / 1M | Per input token |
| Completion tokens | $0.0003 | $300.00 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | $0.01 | $0.010000 | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$97.5Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | ✓ Supported | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | Not advertised | Supports tools / function calling |
| Self-Hosting | Not advertised | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call OpenAI: o1-pro (batch) through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="openai/o1-pro:batch",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| Anthropic Claude Haiku Latest | ~anthropic | 200K | $1.00 | View → |
| Anthropic: Claude 3 Haiku | Anthropic | 200K | $0.25 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does OpenAI: o1-pro (batch) cost?
$75.00 per 1M input tokens and $300.00 per 1M output tokens on the official OpenAI API.
What is the context window of OpenAI: o1-pro (batch)?
OpenAI: o1-pro (batch) supports up to 200K tokens of context.
Does OpenAI: o1-pro (batch) support tool / function calling?
OpenAI: o1-pro (batch) does not advertise first-class tool/function calling. Check vendor docs for the latest capabilities.
How do I access OpenAI: o1-pro (batch)?
Use the official OpenAI API with the model id `openai/o1-pro:batch`. See the Quick start section above for code examples.