GPT‑4o vs GPT‑4.1: models available today on ChatGPT, practical differences, features, real limits, and costs
- Graziano Stefanelli
- Jul 15
- 3 min read

Today on ChatGPT, GPT‑4o and GPT‑4.1 coexist, but each has different use cases and clear advantages.
In OpenAI’s current landscape, GPT‑4o and GPT‑4.1 are the two flagship models integrated into ChatGPT and the API, but their architecture, usage scenarios, and features are profoundly different. On one hand, GPT‑4o (“omni”) was designed as an ultra‑multimodal, ultra‑fast solution, optimized for voice conversations, images, live demos, and real‑time assistance; on the other, GPT‑4.1 is built for ultra‑long context processing, analytical precision, and handling large document workflows, excelling wherever depth and continuity are required.
GPT‑4o is the perfect choice for instant voice conversations, images, and real‑time multimodal flows.
GPT‑4o was launched to break down all barriers between voice, text, and images. Its standout feature is ultra‑low latency—under a second for both input and voice output—with the ability to receive, understand, and generate natural voice, text, images, and even app screenshots in real time.This architecture enables public demos, immediate customer support, and brainstorming or voice support sessions without any wait times. The context window (128k tokens in the standard version) is more than sufficient for all everyday conversations, and the response quality remains consistent even under heavy loads. GPT‑4o is still the default free model for all ChatGPT users on web and mobile, and it powers all the live natural conversation experiences provided by OpenAI.
GPT‑4.1 stands out as the go‑to model for document processing, technical analysis, and in‑depth coding.
GPT‑4.1, introduced in spring 2025, marks a sharp jump in the ability to work with complex documents and files: the context window reaches 1 million tokens both in the standard and mini versions, allowing the processing of entire books, data collections, databases, code repositories, or ultra‑long chat flows without losing any reference.
In terms of precision, GPT‑4.1 introduces Deep Attention and new training checkpoints, with better performance on coding, multistep logic, and academic questions compared to 4o (over a 6‑point gap on Graphwalks, MathVista, MMMU).Multimodality is still present, but the voice part is secondary compared to advanced vision (images, video, slides, diagrams). GPT‑4.1 is therefore the ideal choice for those working on extended professional workflows, data analysis, multi‑file code review, or who need very long outputs (up to 64k tokens in a single response).
The availability of both models on ChatGPT depends on your plan, with 4o free and 4.1 reserved for paid tiers.
As of May 2025, the two models are distributed in ChatGPT menus as follows:
Model | Available in… | Max context | Main notes |
GPT‑4o | ChatGPT Free, Plus, API | 128k tokens | Real‑time voice, image input, fast response |
GPT‑4.1 | ChatGPT Plus, Pro, Team, API | 1M tokens | Extended context, advanced vision, long output |
GPT‑4.1 mini | Plus, Pro, Team | 1M tokens | Much lower costs, same window as 4.1 |
GPT‑4o remains the live model for all voice functions and interactive demos; GPT‑4.1 is set as the default on paid plans when depth and continuous sessions are needed.
Latency, context, and reasoning ability: where 4o excels and where 4.1 takes the lead.
The sharpest difference between the two models is in response time and maximum context management.GPT‑4o is built for those seeking immediacy, even with voice input and complex images, while GPT‑4.1 sacrifices speed to guarantee work sessions that can span hundreds of pages or dozens of files at once, without losing precision in reasoning or message coherence.The optimization of 4.1 for coding, data analysis, and multi‑pass reasoning is also evident in the quality of technical outputs and the handling of complex prompts, as shown in specialized benchmarks.
API: GPT‑4.1 costs less than 4o per million tokens, especially for output, and the mini/nano variants are even cheaper.
Model | Input / 1M tokens | Output / 1M tokens |
GPT‑4o | $2.50 | $10 |
GPT‑4.1 | $2.00 | $8 |
4.1 mini | $0.40 | $1.60 |
4.1 nano | $0.10 | $0.40 |
This pricing policy makes GPT‑4.1 (and especially its mini/nano versions) extremely cost‑effective for automation, batch processing, and long‑term projects, while 4o remains the ideal choice for short sessions, demos, or occasional use where the cost per token matters less than speed and interaction simplicity.
When to choose GPT‑4o and when to prefer GPT‑4.1: practical scenarios and operational advice.
Main requirement | Recommended model | Concrete motivation |
Live voice conversation, customer support, public demos | GPT‑4o | <1 s latency, natural voice, real‑time image input |
Document analysis on large archives, multi‑file coding, very long outputs | GPT‑4.1 | 1M token context, advanced reasoning, outputs up to 64k tokens |
Mobile chatbot or fast but economical workflows | GPT‑4.1 mini/nano | Same context window as 4.1 but 5–20× lower costs |
GPT‑4o remains the irreplaceable choice for all real‑time conversation and live multimodal voice or visual flows; GPT‑4.1 is the new frontier for those needing depth, accuracy, and maximum scalability in analysis, long‑form content production, or advanced coding.
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