recraft
Recraft: Recraft V4
recraft/recraft-v4
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
Recraft V4 (catalog ID recraft/recraft-v4) is an image generation model from Recraft listed in the OpenRouter catalog. According to that listing, it accepts both text and image inputs and produces image output at roughly 1K resolution in several aspect ratios, with a 65,536-token context. The catalog description claims stronger compositional judgment, but the text is truncated and no benchmark data or independent model card was available in this source pack, so capability claims remain source-reported rather than measured.[1]
Strengths
Limitations
- Only OpenRouter catalog evidence was supplied; an independent model card was not available in this source pack, so capabilities are source-reported and unverified.[1]
- No benchmark or evaluation results were included; output quality should be validated on the intended workloads before adoption.[1]
- The catalog description is truncated, and details such as licensing, hardware requirements, and safety behavior are unknown.[1]
Where to use it
Sources
- [1] OpenRouter catalog · Recraft: Recraft V4Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Recraft V4 is an image generation model from Recraft. It supports text and image inputs with image output at ~1K resolution across multiple aspect ratios. It delivers stronger compositional judgment,...
Specifications
- Model ID
- recraft/recraft-v4
- Canonical ID
- recraft/recraft-v4-20260413
- Creator
- recraft
- Added to OpenRouter
- 07.05.2026
- 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.