openai
OpenAI: GPT Image 2.5 Flare
openai/gpt-image-2.5-flare
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter’s catalog describes openai/gpt-image-2.5-flare as an OpenAI image generation and editing model, and as the speed-oriented tier of the GPT Image 2.5 series. It lists text and image inputs with image-only output, a large context window, and controls including seed, response format, structured outputs, and max_tokens. These are catalog-reported capabilities, not measured results. This source pack includes no independent model card or benchmark evidence, so teams should validate image quality, latency, and total cost on their own workloads.[1]
Strengths
- Catalog-reported generation and editing support through text and image inputs, with image-only output.[1]
- The catalog positions this exact variant as the speed-oriented tier of its series for high-volume everyday use.[1]
- Listed API controls include seed, response format, structured outputs, and max_tokens.[1]
Limitations
- Only the OpenRouter catalog is supplied; an independent model card was not available in this source pack.[1]
- The catalog contains no benchmark results, so image quality, latency, reliability, and real cost remain unmeasured here.[1]
- License terms, safety behavior, hardware requirements, and knowledge cutoff are not reported and should not be assumed.[1]
Where to use it
- Consider for rapid drafts and iterations if workload tests confirm the catalog’s speed-oriented positioning.[1]
- Consider for image editing flows that combine an existing image with text and require image output.[1]
- Consider for prototyping high-volume routine image pipelines, with per-workload checks for quality, latency, and total cost.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT Image 2.5 FlareSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
GPT Image 2.5 Flare is an image generation and editing model from OpenAI, positioned as the speed-oriented tier of the GPT Image 2.5 series. It is suited to high-volume everyday...
Specifications
- Model ID
- openai/gpt-image-2.5-flare
- Canonical ID
- openai/gpt-image-2.5-flare-20260908
- Creator
- openai
- Added to OpenRouter
- 09.09.2026
- 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
- —
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.