o4 Mini High
VerifiedOpenAI's multimodal model for integrated image, text, and file analysis.
About o4 Mini High
The model uses a multimodal design that accepts images, text, and files as input. Its 200000-token context window enables handling of lengthy documents and multi-turn interactions. OpenAI maintains full control over the weights and deployment.
Strengths include seamless integration of visual and textual information without requiring users to manage parameters. The closed nature of the model supports consistent updates and enterprise-grade reliability. It avoids the need for local hardware resources typical of open-weight alternatives.
Typical usage covers document analysis, visual question answering, and file-based reasoning workflows. Researchers and developers apply it to scenarios that demand large context and mixed modalities. Business applications often involve processing reports that combine charts, text, and supporting files.
Capabilities
How o4 Mini High compares
o4 Mini High (striped bar) vs other multimodal on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · o4 Mini High ranks #77 of 139
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-Context Document Analysis
Handles 200,000-token multimodal inputs to review lengthy reports that combine text, charts, and diagrams in a single pass.
Visual Reasoning Over Extended Sequences
Processes sequences of images or video frames alongside accompanying text for tasks such as step-by-step troubleshooting or narrative extraction.
Multimodal Research Summarization
Integrates large volumes of mixed media sources to produce concise, accurate summaries while preserving key visual and textual details.
Strengths & limitations
Strengths
- +Efficient multimodal processing
- +Strong context retention over long inputs
- +Flexible support for images, text, and files
- +Balanced reasoning for a compact model
Limitations
- –May underperform on highly complex specialized tasks
- –Reasoning depth can lag behind larger flagship models
- –Output quality depends heavily on input clarity
Cost calculator
Estimate what o4 Mini High would cost for your usage.
Based on o4 Mini High's $1.10/1M input · $4.40/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "openai/o4-mini-high",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: openai/o4-mini-high
Editor's verdict
o4 Mini High is OpenAI's proprietary multimodal with a 200K-token context window.
At $4.40 per 1M output tokens, it is mid-priced for its class.
It is available through OpenAI's API and aggregators like OpenRouter.
Best suited to efficient multimodal processing and strong context retention over long inputs.
Frequently asked questions
The model supports a context window of 200,000 tokens.
User reviews
Real, verified reviews from the community shape this model's rating.
Loading reviews…
Other o models
Sibling versions in the o family from OpenAI.
Similar models
Other multimodal worth comparing.