Analysis Summary
GPT-4.1 is a multimodal OpenAI model with text, image, and file input, tool use, function calling, and a 1,047,576-token context window. That unusually large context is valuable for codebases, knowledge repositories, long contracts, and campaign archives that exceed ordinary model limits. No benchmark results are supplied for this batch variant, so measured reasoning and coding performance should be established independently.
Its API feature set makes it a strong workflow candidate for software engineering, document analysis, content systems, and agents that need extensive source material. The listed price of $1 per million input tokens and $4 per million output tokens supports targeted production deployment. Teams should still test retrieval quality and instruction adherence across very large inputs.
Adopt it when context capacity is a central requirement and one endpoint must handle text, files, and images.
Assessed August 9, 2026
Editorial notes
GPT-4.1 offers a 1M token context window, vision, file input, tool use, and function calling for extensive codebases and document sets. Its $1 input and $4 output pricing is practical, though this entry lacks benchmark data.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-4.1 offers a 1M token context window, vision, file input, tool use, and function calling for extensive codebases and document sets. Its $1 input and $4 output pricing is practical, though this entry lacks benchmark data.
How OpenAI: GPT-4.1 (batch) compares
Its 1M-token context window is larger than 86% of the models we list. At $1.00 per million input tokens it is cheaper than 27% 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 | $1.00 | $0.001000 |
| Output | $4.00 | $0.004000 |
What would OpenAI: GPT-4.1 (batch) cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 748 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-4.1 (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-4.1 (batch)
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..
Explore Related Models
Frequently asked questions about OpenAI: GPT-4.1 (batch)
How much does OpenAI: GPT-4.1 (batch) cost?
OpenAI: GPT-4.1 (batch) costs $1.00 per million input tokens and $4.00 per million output tokens.
What is the context window of OpenAI: GPT-4.1 (batch)?
OpenAI: GPT-4.1 (batch) has a context window of 1,047,576 tokens (1M).
What can OpenAI: GPT-4.1 (batch) do?
OpenAI: GPT-4.1 (batch) supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-4.1 (batch)?
OpenAI: GPT-4.1 (batch) 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 3, 2026 8:38 pm