Model overview
**Lightweight, human-aligned multimodal quality judge built on a modern Qwen3.5 vision-language backbone.** *Q-Align-level quality at 0.8B — the fast, tiny variant: 26.7 img/s on an RTX 4090, and still beats the original Q-Align on average.* Q-ReAlign scores the **perceptual quality / aesthetic appeal** of an image or video the way Q-Align does: the model is asked to rate quality, and the probability mass it places on the discrete words **`excellent / good / fair / poor / bad`** is collapsed — via a fixed weighting `[1.0, 0.75, 0.5, 0.25, 0.0]` — into a single scalar in `[0, 1]`.
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。