o3 Mini
VerifiedOpenAI's compact multimodal model for text and file reasoning.
About o3 Mini
o3 Mini uses a multimodal design that integrates text and file handling in one system. Its 200,000-token context window supports long-form inputs without truncation. OpenAI keeps the model closed-weight to maintain quality control and regular updates.
The model excels at structured reasoning tasks that combine documents with textual prompts. It balances capability and speed for users who need reliable outputs on complex queries. Typical applications include analysis workflows where file uploads supplement detailed instructions.
Developers integrate o3 Mini into applications requiring both file parsing and extended context. Its non-open nature means access occurs through official APIs with usage-based billing. This setup suits production environments that value consistency over local deployment.
Capabilities
Benchmarks & performance
Independent evaluation scores and measured speed.
Source: Artificial Analysis
How o3 Mini compares
o3 Mini (striped bar) vs other multimodal on intelligence, speed and price.
Intelligence
Artificial Analysis Intelligence Index · Higher is better · o3 Mini ranks #54 of 88
Speed
Output tokens per second · Higher is better · o3 Mini ranks #5 of 76
Price
USD per 1M output tokens · Lower is better · o3 Mini ranks #86 of 155
Nova Pro 1.0Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-Document Analysis
Excels at processing and reasoning over extensive files or codebases up to 200k tokens, enabling thorough logical deduction across large inputs.
Advanced Mathematical Problem Solving
Applies chain-of-thought reasoning to tackle complex equations, proofs, and scientific computations with high accuracy.
Code Generation and Debugging
Generates, reviews, and debugs code while handling multimodal inputs like diagrams or data files for complete project support.
Strengths & limitations
Strengths
- +Efficient reasoning at lower latency
- +Strong STEM domain performance
- +Effective large-context handling
- +Cost-efficient for complex queries
Limitations
- –Text and file modalities only
- –Can over-reason on simple tasks
- –No native vision or image capabilities
Cost calculator
Estimate what o3 Mini would cost for your usage.
Based on o3 Mini'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/o3-mini",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: openai/o3-mini
Editor's verdict
o3 Mini is OpenAI's proprietary multimodal with a 200K-token context window.
On independent testing it scores 25.9 on the Artificial Analysis Intelligence Index, running at roughly 231 tokens per second with about 4.81s to first token.
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 reasoning at lower latency and strong stem domain performance.
Frequently asked questions
The model supports a context length of 200000 tokens for handling extended inputs and conversations.
User reviews
Real, verified reviews from the community shape this model's rating.
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