GPT-4.1 Nano
VerifiedProcesses massive multimodal inputs across images, text, and files.
About GPT-4.1 Nano
Built as a proprietary system, GPT-4.1 Nano integrates vision and language capabilities within a single architecture. Its design supports file uploads alongside images and text while preserving coherence over extremely long sequences. This structure suits workloads that combine visual data with extensive documentation.
Key strengths include reliable cross-modal reasoning without reliance on open weights or user-side fine-tuning. The model maintains context across more than a million tokens, reducing the need for chunking or summarization steps in large projects.
Common applications involve enterprise document analysis, research synthesis from mixed sources, and automated workflows that merge visual inspection with textual records. Organizations use it where data scale and modality variety exceed typical model limits.
Capabilities
How GPT-4.1 Nano compares
GPT-4.1 Nano (striped bar) vs other multimodal on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · GPT-4.1 Nano ranks #17 of 124
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-form multimodal document analysis
Processes over one million tokens of combined text and images from extensive reports or research papers in a single pass.
Extended video or image sequence understanding
Handles lengthy multimodal inputs such as transcribed videos paired with visual frames for summarization or question answering.
Large-scale code repository review with diagrams
Reviews massive codebases alongside associated architecture diagrams or UI screenshots without context truncation.
Strengths & limitations
Strengths
- +Extremely large context window
- +Native support for images, text, and files
- +OpenAI multimodal architecture
Limitations
- –Nano size may reduce depth on complex tasks
- –Performance trade-offs for efficiency
Cost calculator
Estimate what GPT-4.1 Nano would cost for your usage.
Based on GPT-4.1 Nano's $0.10/1M input · $0.40/1M 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/gpt-4.1-nano",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: openai/gpt-4.1-nano
Editor's verdict
GPT-4.1 Nano is OpenAI's proprietary multimodal with a 1048K-token context window.
At $0.40 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 extremely large context window and native support for images, text, and files.
Frequently asked questions
The model supports a context window of 1,047,576 tokens.
User reviews
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