openai
OpenAI: GPT Image 2.6 Flare
openai/gpt-image-2.6-flare
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
GPT Image 2.6 Flare is an OpenAI image generation and editing model listed in the OpenRouter catalog. Per that listing, it accepts text and image inputs and returns image outputs, suiting text-to-image and image-to-image work. The catalog describes it as optimized for speed and interactive iteration, claiming roughly 50 percent faster generation than GPT Image 2.5, a vendor-supplied figure rather than a measured result here. It reports a 400,000-token context length and support for seed and structured-output parameters. No independent model card was available in this source pack.[1]
Strengths
- The catalog positions it as speed-optimized for rapid iteration and interactive generation and editing; this is a source-reported design goal, not a verified measurement.[1]
- Accepts both text and image inputs and produces image outputs, covering text-to-image and image-to-image editing flows in one model.[1]
- Reports a large stated context window and support for seed and structured-output parameters, which may aid reproducible and programmatic use.[1]
Limitations
- Evidence is limited to a single OpenRouter catalog entry; no independent model card was supplied, so capabilities should be validated on real workloads.[1]
- Benchmark fields in the listing are empty, and the claimed speed advantage over GPT Image 2.5 is a catalog statement without supplied measurements.[1]
- The listing reports no reasoning capability, and output is limited to images only.[1]
Where to use it
- Potentially a good fit for interactive design tools that need quick text-to-image drafts; confirm latency on your own workload.[1]
- Image-to-image editing pipelines where users supply a source image plus instructions.[1]
- Automated generation flows that may benefit from seed control and structured outputs.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT Image 2.6 FlareSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
GPT Image 2.6 Flare is OpenAI's image generation and editing model optimized for speed: fast iteration and interactive text-to-image and image-to-image workflows, generating about 50% faster than GPT Image 2.5....
Specifications
- Model ID
- openai/gpt-image-2.6-flare
- Canonical ID
- openai/gpt-image-2.6-flare-20261104
- Creator
- openai
- Added to OpenRouter
- 04.11.2026
- 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.