krea
Krea: K3 Edit
krea/k3-edit
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 krea/k3-edit as an image-to-image editing model that combines a text prompt with one to eight reference images and returns one edited image. The entry identifies Krea as the author and describes instruction-following edits, but it supplies catalog metadata rather than an independent model card or measured results. Its documented scope is therefore useful as a capability summary, while output quality, reliability, and constraints still need validation on representative workloads.[1]
Strengths
Limitations
- Only OpenRouter catalog evidence was supplied; an independent model card was not available in this source pack.[1]
- The source pack contains no measured performance results, so quality, consistency, and edge-case behavior remain unverified.[1]
- Licensing, hardware requirements, safety behavior, and supported API parameters are not documented in the supplied evidence.[1]
Where to use it
- May fit editing tasks where visual references should guide a prompt-specified change; validate on representative inputs.[1]
- Could support iterative image refinement when one edited result per request is desired.[1]
- Potentially useful for multi-reference editing workflows within the catalog’s stated eight-image limit.[1]
Sources
- [1] OpenRouter catalog · Krea: K3 EditSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Krea K3 Edit is an image-to-image editing model from Krea. It takes one to eight reference images plus a text prompt and returns a single edited image, following instructions that...
Specifications
- Model ID
- krea/k3-edit
- Canonical ID
- krea/k3-edit-20260914
- Creator
- krea
- Added to OpenRouter
- 15.10.2026
- Context length
- 65,536
- 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 | — |
| 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) |
|---|---|---|---|---|---|---|
| Krea | 65,536 | — | — | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.