OpenAI: o3 Mini High (batch)✓ Catalog verified
OpenAI o3-mini-high is the same model as o3-mini with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and...
Overview
OpenAI o3-mini-high is the same model as o3-mini with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and...
Access: available through the official OpenAI API. Context window: 200K.
Specifications
| API identifier | openai/o3-mini-high:batch |
| Provider | OpenAI |
| Model type | Text LLM |
| Context window | 200K catalog |
| Input modalities | text · file |
| Output modalities | text |
| Released | Feb 12, 2025 |
| Tokenizer | GPT |
| Moderated | Yes |
| Architecture modality | text+file->text |
API defaults
{
"top_p": null,
"temperature": null,
"frequency_penalty": null
}Pricing
Live pricing components for openai/o3-mini-high:batch as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $5.5e-7 | $0.55 / 1M | Per input token |
| Completion tokens | $0.0000022 | $2.20 / 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
$0.72Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | Not advertised | 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: o3 Mini High (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/o3-mini-high: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: o3 Mini High (batch) cost?
$0.55 per 1M input tokens and $2.20 per 1M output tokens on the official OpenAI API.
What is the context window of OpenAI: o3 Mini High (batch)?
OpenAI: o3 Mini High (batch) supports up to 200K tokens of context.
Does OpenAI: o3 Mini High (batch) support tool / function calling?
Yes, OpenAI: o3 Mini High (batch) supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access OpenAI: o3 Mini High (batch)?
Use the official OpenAI API with the model id `openai/o3-mini-high:batch`. See the Quick start section above for code examples.