openai
OpenAI: GPT Image 2
openai/gpt-image-2
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to the OpenRouter catalog, openai/gpt-image-2 is OpenAI's latest image generation model, described as supporting high-fidelity image generation and editing through the dedicated Images API. The catalog lists it as accepting text and image inputs and producing image outputs, with a reported context length of 400,000 tokens and support for parameters including seed, response_format, structured_outputs and max_tokens. The source shows no benchmark results, and no independent model card was available in this source pack, so capability claims remain catalog-reported rather than measured.[1]
Strengths
- The catalog describes high-fidelity image generation and editing via a dedicated Images API, which suggests a mature, production-oriented image pipeline.[1]
- It accepts both text and image inputs, enabling source-reported editing workflows where an existing image guides the output.[1]
- A reported 400,000-token context length plus seed, response_format and structured_outputs parameters may suit programmatic generation workflows.[1]
Limitations
- Evidence is catalog-only: no independent model card and no benchmark results were available, so quality and fidelity claims need workload validation before adoption.[1]
- The catalog lists reasoning as null and provides no knowledge cutoff, so those characteristics are unknown rather than confirmed absent.[1]
- The catalog entry carries an expiration date of 2027-02-10, which may limit its availability for long-term planning.[1]
Where to use it
- Editorial suggestion: image editing pipelines that combine a text brief with a reference image, given the reported text-plus-image input support.[1]
- Editorial suggestion: automated generation jobs that benefit from seed control and structured outputs, subject to validating output quality on real tasks.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT Image 2Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
OpenAI's latest image generation model. Supports high-fidelity image generation and editing via the dedicated Images API.
Specifications
- Model ID
- openai/gpt-image-2
- Creator
- openai
- Added to OpenRouter
- 24.06.2026
- Context length
- 400,000
- Modality
- text+image->image
- Input modalities
- text, image
- Output modalities
- image
- Token pricing
- No per-token price in the source snapshot — see OpenRouter for the billing unit
- Knowledge cutoff
- —
- Expiration date
- 10.02.2027
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 | — |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs |
| Writing | No measurement | — |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| 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 | 400,000 | — | — | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.