Model comparison
gr00t17_pick_orange_lora vs o3
Capability radar, value bars, and side-by-side posture.
gr00t17_pick_orange_lora
Not scored
value score
o3
93
value score
gr00t17_pick_orange_lora ctx
—
o3 ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- o393
Attribute tape
| Field | gr00t17_pick_orange_lora | o3 |
|---|---|---|
| Developer | aleph-ra | OpenAI |
| Context | — | 200K |
| Modalities | Text, Code | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $10/1M in · $40/1M out |
| Value score | — | 93 |
| Summary | A LoRA adapter that fine-tunes a GR00T-style robot manipulation policy to pick orange objects. It adds lightweight low-rank weight deltas to an existing base policy rather than replacing it, enabling task-specific robotic grasping behavior with minimal compute. | OpenAI reasoning model focused on hard problems. |