openai
OpenAI: GPT-5 Image
openai/gpt-5-image
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to OpenRouter's catalog, openai/gpt-5-image is an OpenAI multimodal model that accepts text, images, and files and returns text or images. The listing describes it as combining GPT-5 with image generation, mandatory reasoning, and a very large context window. It also reports Design Arena measurements for image, logo, and graphic-design tasks; those are measured arena outcomes, while the other details are catalog-reported capabilities. An independent model card was not available in this source pack.[1]
Strengths
- The catalog lists text, image, and file inputs with text or image outputs, supporting workflows that combine visual assets, documents, and generated visuals.[1]
- The listing describes image generation integrated with GPT-5 reasoning and instruction following; this is a catalog claim rather than a measured result.[1]
- Reasoning is marked mandatory, and the listed API controls include structured outputs, verbosity, sampling, seeds, token limits, and log probabilities.[1]
Limitations
- Evidence is limited to the OpenRouter catalog; no independent model card was supplied, so workload-specific validation is still needed.[1]
- The catalog marks reasoning as mandatory and lists no supported effort levels, leaving effort configuration unclear.[1]
- The listing includes an expiration date and omits license terms, hardware requirements, knowledge cutoff, and safety details; those omissions are evidence gaps, so availability and fit should be rechecked.[1]
Where to use it
- Prototyping assistants that inspect images or files and respond with text or generated visuals, subject to workload testing.[1]
- Exploring image, logo, and graphic-design concepts, since the catalog includes Design Arena measurements for those categories; results should still be validated.[1]
- Building multimodal document workflows that need structured outputs or long-context prompts, after confirming the cataloged limits and controls.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-5 ImageSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
[GPT-5](https://openrouter.ai/openai/gpt-5) Image combines OpenAI's GPT-5 model with state-of-the-art image generation capabilities. It offers major improvements in reasoning, code quality, and user experience while incorporating GPT Image 1's superior instruction following,...
Specifications
- Model ID
- openai/gpt-5-image
- Creator
- openai
- Added to OpenRouter
- 14.10.2025
- Context length
- 400,000
- 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
- 11.12.2026
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: mandatory · parameters: include_reasoning, reasoning |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: mandatory · parameters: include_reasoning, reasoning |
| 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
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Design Arena | models · graphicdesignwin rate 48.9% · rank 9 | 1,172Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · imagewin rate 53.9% · rank 9 | 1,174Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · logowin rate 52.7% · rank 9 | 1,202Elo | CC — below the B band | 13.11.2026 |
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 | 400,000 | — | — | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.