Model overview
`RLDX-1-VLM` is the **vision-language backbone** used by the RLDX-1 robot policy family. It is a Qwen3-VL-8B-Instruct checkpoint distributed separately from the action policy so that researchers can inspect, finetune, or replace the perceptual stack independently. > **Note.** This checkpoint exposes a standard Qwen3-VL VLM interface only — > it does **not** ship the Multi-Stream Action Transformer head, the > cognition tokens, the memory / motion / physics modules, or the RLDX > inference server. For action prediction, use one of the > `RLDX-1-PT`, > `RLDX-1-FT-*`, or > `RLDX-1-MT-*` checkpoints. - As the `--backbone-path` for finetuning a fresh RLDX-1 policy (recipe). - For VLM-only ablations, dense-captioning experiments, or perceptual probing within the RLDX research stack.
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?
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Are these real-time billing prices?
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Sources & traceability
许可证：other。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。