GPT-4.1 Mini
VerifiedMultimodal model for million-token image and text tasks.
About GPT-4.1 Mini
GPT-4.1 Mini is engineered by OpenAI as a compact yet powerful multimodal system. It processes inputs across images, text, and files without being open-weight. The model features an exceptionally large context window of over one million tokens.
Its design emphasizes efficiency in handling complex multimodal data streams. Strengths include maintaining coherence over very long inputs that combine visual and textual elements. This makes it suitable for detailed analysis without losing context.
Typical usage involves applications in content creation, data extraction from mixed media files, and interactive AI assistants. Users leverage it for tasks where extensive context is crucial. Integration occurs through OpenAI's API platforms.
Capabilities
How GPT-4.1 Mini compares
GPT-4.1 Mini (striped bar) vs other multimodal on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · GPT-4.1 Mini ranks #51 of 139
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long Multimodal Document Review
Processes entire books or research papers containing text and embedded images in one pass for summarization or question answering.
Extended Video Transcript Analysis
Integrates visual frames with lengthy spoken transcripts to answer queries about events spanning hours of footage.
Large Codebase with Diagrams
Reviews repositories of source code alongside architecture diagrams and inline comments within the full context window.
Strengths & limitations
Strengths
- +Handles over one million tokens of context
- +Processes images, text, and files together
- +Suitable for large document workflows
- +Broad general-purpose capabilities from OpenAI lineage
Limitations
- –Mini variant may trade depth for efficiency
- –No audio or video modality support
- –Large context can increase response latency
Cost calculator
Estimate what GPT-4.1 Mini would cost for your usage.
Based on GPT-4.1 Mini's $0.40/1M input · $1.60/1M 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-4.1-mini",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: openai/gpt-4.1-mini
Editor's verdict
GPT-4.1 Mini is OpenAI's proprietary multimodal with a 1048K-token context window.
At $1.60 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 handles over one million tokens of context and processes images, text, and files together.
Frequently asked questions
The model supports a context length of 1,047,576 tokens.
User reviews
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