openai
OpenAI: GPT-5.4 Image 2
openai/gpt-5.4-image-2
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter's catalog presents openai/gpt-5.4-image-2 as an OpenAI multimodal variant that accepts text, image, and file inputs and can return text or images. The catalog reports a 272,000-token context window, optional reasoning controls with selectable effort, structured outputs, seed, verbosity, logprobs, and response-format settings. It describes the model as combining GPT-5.4 with GPT Image 2 image generation for multimodal workflows. These are catalog-reported capabilities, not measured results; no independent model card was available in this source pack.[1]
Strengths
- Accepts text, image, and file inputs and produces text or image outputs, according to the catalog.[1]
- Reports a 272,000-token context window for prompts that combine supported input types.[1]
- Offers optional reasoning with several effort levels, plus controls for structured outputs, response format, verbosity, seed, logprobs, and max tokens.[1]
Limitations
- Only OpenRouter catalog evidence was supplied, and an independent model card was not available in this source pack.[1]
- The catalog's benchmark fields contain no reported results, so quality, latency, and cost-effectiveness require workload validation.[1]
- The supplied evidence does not establish licensing, safety behavior, knowledge cutoff, hardware requirements, or real-world failure modes.[1]
Where to use it
- Consider for prototypes that need one endpoint to process documents, images, and text while returning text or generated images.[1]
- Potentially useful for multimodal assistants that combine analysis, coding help, optional reasoning, and image generation; confirm behavior in testing.[1]
- May fit applications that need structured outputs or adjustable reasoning effort alongside image-aware input and image output.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-5.4 Image 2Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
[GPT-5.4](https://openrouter.ai/openai/gpt-5.4) Image 2 combines OpenAI's GPT-5.4 model with state-of-the-art image generation capabilities from GPT Image 2. It enables rich multimodal workflows, allowing users to seamlessly move between reasoning, coding, and...
Specifications
- Model ID
- openai/gpt-5.4-image-2
- Canonical ID
- openai/gpt-5.4-image-2-20260421
- Creator
- openai
- Added to OpenRouter
- 21.04.2026
- Context length
- 272,000
- Modality
- text+image+file->text+image
- Input modalities
- image, text, file
- Output modalities
- image, text
- Token pricing
- No per-token price in the source snapshot — see OpenRouter for the billing unit
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | reasoning: optional · default medium · efforts: xhigh, high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: optional · default medium · efforts: xhigh, high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Document analysis | No measurement | input: file |
| Vision | No measurement | input: image |
| Image generation | No measurement | output: image |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| OpenAI | 272,000 | — | — | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.