Analysis Summary
GPT-4.1 is a general-purpose multimodal model with a 1M token context, support for images and files, and tool and function calling. That combination is highly practical for long briefs, knowledge-base work, document review, structured content generation, and applications that need one model to handle varied inputs. Its measured general capability is strong, though the supplied record contains less detailed coding and agentic evidence than some specialised models.
For agency work, it is a credible default for SEO production, client-facing content, document analysis, and tool-connected assistants. The pricing is higher than budget models but remains workable for quality-sensitive tasks. Use it as a broad production model where context capacity and multimodality matter, while routing simple high-volume transformations to cheaper systems.
Assessed September 7, 2026
Editorial notes
GPT-4.1 combines a 1M token context with vision, file handling, and tool calling, making it a versatile choice for long documents and structured client workflows. Its measured intelligence is useful, though newer flagship models offer deeper reasoning.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-4.1 combines a 1M token context with vision, file handling, and tool calling, making it a versatile choice for long documents and structured client workflows. Its measured intelligence is useful, though newer flagship models offer deeper reasoning.
How OpenAI: GPT-4.1 compares
OpenAI: GPT-4.1 ranks #199 of 438 AI models we track for overall intelligence. Its 1M-token context window is larger than 84% of the models we list. At $2.00 per million input tokens it is cheaper than 18% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on business fit. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.00 | $0.002000 |
| Output | $8.00 | $0.008000 |
What would OpenAI: GPT-4.1 cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 779 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-4.1 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-4.1
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and..
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Frequently asked questions about OpenAI: GPT-4.1
How much does OpenAI: GPT-4.1 cost?
OpenAI: GPT-4.1 costs $2.00 per million input tokens and $8.00 per million output tokens.
What is the context window of OpenAI: GPT-4.1?
OpenAI: GPT-4.1 has a context window of 1,047,576 tokens (1M).
What can OpenAI: GPT-4.1 do?
OpenAI: GPT-4.1 supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-4.1?
OpenAI: GPT-4.1 is developed by OpenAI and was released on April 14, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 18, 2026 8:38 pm