GPT-5.4 Image 2 vs GPT-5 Image
A side-by-side comparison of two image models — real specs, pricing, strengths and weaknesses, and a clear verdict on which to choose. Kept current by our agents.
Quick verdict: which should you choose?
Choose GPT-5.4 Image 2 if you need
- ✓larger 400k context for extensive multimodal inputs
- ✓lower $10/1M output price on image-text tasks
- ✓unified processing of images, text, and files at scale
- ✓strong native vision built on OpenAI's multimodal base
Choose GPT-5 Image if you need
- ✓strong visual-textual coherence in complex image tasks
- ✓seamless integration within a 272k token multimodal window
- ✓flexible handling of detailed image-centric workflows
- ✓specialized focus on visual-text alignment
Verdict
GPT-5 Image leads on cost and raw context size with its 400k tokens and $10/1M pricing, while GPT-5.4 Image 2 trades higher cost for emphasized visual-textual coherence within a 272k window. Both share OpenAI's proprietary multimodal foundation and image-centric focus, but the larger context in A directly supports more extensive unified inputs. Neither provides measurable intelligence or speed data, leaving specialization as the primary differentiator.
GPT-5.4 Image 2 vs GPT-5 Image: side by side
| Spec | GPT-5.4 Image 2 | GPT-5 Image | Winner |
|---|---|---|---|
| Intelligence | — | — | Tie |
| Output speed | — | — | Tie |
| Output price | $15.00/1M | $10.00/1M | GPT-5 Image |
| Context | 272K | 400K | GPT-5 Image |
| Params | — | — | Tie |
| Type | Proprietary | Proprietary | Tie |
| Provider | OpenAI | OpenAI | Tie |
Detailed analysis
Pricing
Winner: GPT-5 ImageGPT-5 Image costs $10 per million output tokens versus $15 for GPT-5.4 Image 2. This makes A the lower-cost option for equivalent multimodal image and text workloads. Both are proprietary OpenAI models with no other pricing details provided.
Context Window
Winner: GPT-5 ImageGPT-5 Image offers a 400000 token context compared to 272000 in GPT-5.4 Image 2. The larger window in A supports more extensive unified image, text, and file inputs. Both note increased compute demands from large contexts.
Vision & Multimodal Strengths
Winner: TieA highlights strong native vision and unified processing of images, text, and files. B emphasizes strong visual-textual coherence and flexible handling of complex image tasks. Both are image-specialized with overlapping multimodal integration capabilities.
Specialization
Winner: TieBoth models are positioned for image-centric workflows with limitations on non-visual or pure text tasks. A notes possible limits from image focus; B states it is not optimized for non-visual general tasks. No intelligence_index or speed metrics differentiate them.
GPT-5.4 Image 2
Pros
- +Large 272k token context supports detailed multimodal inputs
- +Seamless integration of images, text, and files
- +Strong visual-textual coherence
- +Flexible handling of complex image tasks
Cons
- –Primarily specialized for image-centric workflows
- –High resource demands with large contexts
- –Not optimized for non-visual general tasks
GPT-5 Image
Pros
- +Strong native vision capabilities
- +Handles extremely large contexts
- +Unified processing of images, text, and files
- +Built on OpenAI's multimodal foundation
Cons
- –Image-specialized focus may limit pure text performance
- –Large context increases compute demands
- –File support restricted to supported formats
Summary: GPT-5.4 Image 2 vs GPT-5 Image
Select GPT-5 Image when larger context and lower price are priorities for handling extensive multimodal inputs. Choose GPT-5.4 Image 2 when strong visual-textual coherence within a smaller window is the main requirement. Both remain comparable on specialization and lack data on speed or intelligence.
Frequently asked questions
GPT-5 Image is better on price and context size; GPT-5.4 Image 2 is positioned for stronger visual-textual coherence. No intelligence or speed data is available to declare an overall winner.