GPT-4.1
VerifiedProcesses over a million tokens across images, text, and files.
About GPT-4.1
GPT-4.1 was developed by OpenAI as a closed-weight system. Its architecture supports simultaneous handling of visual, textual, and file-based inputs. The context window extends to 1,047,576 tokens, enabling analysis of extensive documents and media collections in a single pass.
Strengths center on unified multimodal reasoning without requiring separate preprocessing pipelines. The model maintains coherence across very long inputs while preserving details from images and files. Because it is not open-weight, usage occurs exclusively through OpenAI's hosted infrastructure.
Typical applications include research synthesis, legal document review, and multimedia content analysis. Users submit combined image and text queries that reference large attached files. Results are generated in a single response that draws on the full provided context.
Capabilities
How GPT-4.1 compares
GPT-4.1 (striped bar) vs other multimodal on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · GPT-4.1 ranks #86 of 139
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-document analysis
GPT-4.1 processes entire books, research papers, or code repositories in a single pass thanks to its 1,047,576-token context window.
Image and file interpretation
The model combines multimodal understanding with image and file analysis to extract insights, generate captions, or answer questions about visual content.
Complex instruction-driven coding
It follows detailed specifications to produce, debug, and refactor code while maintaining consistency across large projects.
Strengths & limitations
Strengths
- +Handles very large context windows
- +Processes images, text, and files together
- +Strong reasoning from OpenAI GPT lineage
- +Flexible multimodal inputs
Limitations
- –Closed-source with no public weights
- –May hallucinate on complex tasks
- –High compute cost for full context
Cost calculator
Estimate what GPT-4.1 would cost for your usage.
Based on GPT-4.1's $2.00/1M input · $8.00/1M 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",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: openai/gpt-4.1
Editor's verdict
GPT-4.1 is OpenAI's proprietary multimodal with a 1048K-token context window.
At $8.00 per 1M output tokens, it is premium-priced for its class.
It is available through OpenAI's API and aggregators like OpenRouter.
Best suited to handles very large context windows and processes images, text, and files together.
Frequently asked questions
GPT-4.1 supports a context length of 1,047,576 tokens, allowing it to handle very long inputs for reasoning tasks.
User reviews
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