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o3 Mini High

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OpenAI's multimodal model for large-scale text and file reasoning.

OpenAIMultimodalClosed
Model page
Updated 2026-06-15

About o3 Mini High

o3 Mini High was developed by OpenAI as a proprietary system. It combines multimodal input handling with an extensive context capacity. The architecture supports both text and file modalities without public weight access.

Its design emphasizes efficient processing of lengthy documents and mixed media. Users leverage it for tasks requiring sustained context across large inputs. The model remains accessible only through OpenAI's controlled interfaces.

Capabilities

Long-context reasoning
Code generation and debugging
Mathematical and scientific problem solving
Step-by-step logical analysis
File document processing
Technical question answering

How o3 Mini High compares

o3 Mini High (striped bar) vs other multimodal on intelligence, speed and price.

Price

USD per 1M output tokens · Lower is better · o3 Mini High ranks #71 of 124

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Qwen3.6 27B
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MoonshotAI Kimi Latest
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MoonshotAI Kimi Latest
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Kimi K2.6
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Kimi K2.7 Code
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o4 Mini
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o3 Mini High
$4.5
GPT-5.4 Mini
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OpenAI GPT Mini Latest
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Claude Haiku 4.5
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Anthropic Claude Haiku Latest
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Grok 4.20 Multi-Agent
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Mistral Medium 3.5

Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).

Best for

Long Document Analysis with Visuals

Processes extended reports or research papers up to 200,000 tokens that incorporate charts, diagrams, and images for integrated understanding.

Extended Multimodal Reasoning

Handles complex tasks requiring sustained context across text and visual elements, such as detailed scene interpretation in lengthy sequences.

Large-Scale Content Review

Reviews extensive multimodal materials like presentations or datasets in one pass while maintaining coherence across 200,000 tokens.

Strengths & limitations

Strengths

  • +Strong STEM and coding performance
  • +Efficient reasoning with lower latency
  • +Handles 200k token contexts effectively
  • +Transparent chain-of-thought traces

Limitations

  • Limited creative or narrative writing
  • No native image or audio understanding
  • No real-time web or tool use

Cost calculator

Estimate what o3 Mini High would cost for your usage.

$0.00330
per request
$33
estimated / month

Based on o3 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.

JavaScript · openai
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/o3-mini-high",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(completion.choices[0].message.content);

Model slug: openai/o3-mini-high

Editor's verdict

Our take on o3 Mini High

o3 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 strong stem and coding performance and efficient reasoning with lower latency.

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Frequently asked questions

The model supports a context length of 200,000 tokens as specified by OpenAI.

User reviews

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