recraft
Recraft: Recraft V4 Styles Pro
recraft/recraft-v4-styles-pro
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
recraft/recraft-v4-styles-pro is an image generation model from Recraft, listed in the OpenRouter catalog under the dated canonical ID recraft-v4-styles-pro-20260826. It takes text plus image input and returns an image. According to the catalog, it is built for style-consistent generation: each request must supply at least one style reference image, and the output reproduces that reference's style. Because the only evidence here is the catalog entry and no independent model card was provided in this source pack, treat capabilities as vendor-reported rather than verified.[1]
Strengths
- According to the catalog, it is designed to keep style consistent by generating each new image from a supplied style reference.[1]
- Accepts combined text and image input, letting a prompt work together with the required style reference.[1]
- The catalog reports a context length of 65,536 tokens for this variant.[1]
Limitations
- Per the catalog, a style reference image is mandatory on every call, so it does not support free-form text-to-image use without a reference.[1]
- Evidence is catalog-only: no independent model card was available in this source pack and the benchmark fields are empty, so validate quality on your own workloads before adopting it.[1]
- The catalog description is truncated and lists no supported parameters, so request controls and options are undocumented in this pack.[1]
Where to use it
Sources
- [1] OpenRouter catalog · Recraft: Recraft V4 Styles ProSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Recraft V4 Styles Pro is a style-consistent image generation model from Recraft. Every request requires at least one style reference image and generates a new image that reproduces the reference's...
Specifications
- Model ID
- recraft/recraft-v4-styles-pro
- Canonical ID
- recraft/recraft-v4-styles-pro-20260826
- Creator
- recraft
- Added to OpenRouter
- 26.08.2026
- 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) |
|---|---|---|---|---|---|---|
| Recraft | 65,536 | — | — | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.