OpenAI: o1 (batch)✓ Catalog verified
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
Overview
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
Access: available through the official OpenAI API. Context window: 200K.
Specifications
| API identifier | openai/o1:batch |
| Provider | OpenAI |
| Model type | Multimodal LLM |
| Context window | 200K catalog |
| Input modalities | text · image · file |
| Output modalities | text |
| Released | Dec 17, 2024 |
| Tokenizer | GPT |
| Moderated | Yes |
| Architecture modality | text+image+file->text |
API defaults
{
"top_k": null,
"top_p": null,
"temperature": null,
"presence_penalty": null,
"frequency_penalty": null,
"repetition_penalty": null
}Pricing
Live pricing components for openai/o1:batch as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $0.0000075 | $7.50 / 1M | Per input token |
| Completion tokens | $0.00003 | $30.00 / 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
$9.75Calculated 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 | ✓ Supported | 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 (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: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 (batch) cost?
$7.50 per 1M input tokens and $30.00 per 1M output tokens on the official OpenAI API.
What is the context window of OpenAI: o1 (batch)?
OpenAI: o1 (batch) supports up to 200K tokens of context.
Does OpenAI: o1 (batch) support tool / function calling?
Yes, OpenAI: o1 (batch) supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access OpenAI: o1 (batch)?
Use the official OpenAI API with the model id `openai/o1:batch`. See the Quick start section above for code examples.