# Show HN: 27B open model to grade robot data 48x cheaper/27x faster vs. 6 Astra

> Source: <https://twitter.com/josefchen/status/2113687649131336039>
> Published: 2026-10-24 01:32:24+00:00

Josef Chen on X: "RoboJev: people are watching thousands of videos to label task success.
Now, you can grade robot data faster than you make it. 48x cheaper and 28x faster than 6 Astra.
27B parameters, open weights."

RoboJev: people are watching thousands of videos to label task success.
Now, you can grade robot data faster than you make it. 48x cheaper and 28x faster than 6 Astra.
27B parameters, open weights.

RoboJev: people are watching thousands of videos to label task success.
Now, you can grade robot data faster than you make it. 48x cheaper and 28x faster than 6 Astra.
27B parameters, open weights.

3/ Grading 68,555 episodes from 7,641 public LeRobot eval datasets on Hugging Face, 501 hours of video, takes $13.16 of GPU time.
GPT-6 Astra would charge $637.

5/ How it's built: JEV-27B-VL, fine-tuned with LoRA on 52,598 robot episodes.
Open: weights (Apache-2.0), all three evaluation sets, the LeRobot reward plugin and the live-verdict overlay from the video.
Details and demo:

Top: the ring lands and RoboJev goes to 1.00.
Bottom: the ring sits on the peg for a while, then falls off, and the score drops from 0.82 to 0.04.
Try it on your own robot video: huggingface.co/spaces/josefch…