GPT-4o-mini
VerifiedCompact multimodal model for efficient text and image tasks.
About GPT-4o-mini
GPT-4o-mini belongs to OpenAI's optimized GPT-4o family. It processes multiple input types through a unified architecture that supports long contexts. The design prioritizes lower latency while preserving core multimodal functions.
Strengths include reliable handling of mixed media without requiring extensive resources. It delivers consistent results across varied prompts involving documents and visuals. This balance suits production environments where speed matters.
Typical usage covers chat interfaces, content moderation tools, and automated analysis pipelines. Applications often embed it for image captioning combined with textual reasoning. Teams deploy it in customer support systems and internal knowledge tools.
Capabilities
Benchmarks & performance
Independent evaluation scores and measured speed.
Source: Artificial Analysis
How GPT-4o-mini compares
GPT-4o-mini (striped bar) vs other multimodal on intelligence, speed and price.
Intelligence
Artificial Analysis Intelligence Index · Higher is better · GPT-4o-mini ranks #83 of 88
Speed
Output tokens per second · Higher is better · GPT-4o-mini ranks #58 of 76
Price
USD per 1M output tokens · Lower is better · GPT-4o-mini ranks #33 of 155
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Multimodal document analysis
GPT-4o-mini processes documents containing both text and images, such as extracting information from charts, diagrams, or scanned reports while applying reasoning to the combined content.
Large-scale code review
It handles extensive codebases within its context window for analysis, debugging suggestions, and generating improvements across multiple files.
Long-context instruction tasks
The model follows complex natural language instructions over lengthy inputs like full research papers or conversation histories to produce coherent summaries or solutions.
Strengths & limitations
Strengths
- +Fast response times
- +Cost-efficient for scale
- +Solid vision capabilities
- +Effective on everyday tasks
Limitations
- –Weaker on complex multi-step reasoning than larger models
- –Can miss subtle details in very long contexts
- –No native audio or video generation
Cost calculator
Estimate what GPT-4o-mini would cost for your usage.
Based on GPT-4o-mini's $0.15/1M input · $0.60/1M 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/gpt-4o-mini",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: openai/gpt-4o-mini
Editor's verdict
GPT-4o-mini is OpenAI's proprietary multimodal with a 128K-token context window.
On independent testing it scores 12.6 on the Artificial Analysis Intelligence Index, running at roughly 55 tokens per second with about 1.23s to first token.
At $0.60 per 1M output tokens, it is very cost-efficient for its class.
It is available through OpenAI's API and aggregators like OpenRouter.
Best suited to fast response times and cost-efficient for scale.
Frequently asked questions
It provides a context length of 128000 tokens for handling large inputs in a single request.
User reviews
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