Model comparison
SpatialLM-Llama-1B vs o3
Capability radar, value bars, and side-by-side posture.
SpatialLM-Llama-1B
Not scored
value score
o3
93
value score
SpatialLM-Llama-1B ctx
—
o3 ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- o393
Attribute tape
| Field | SpatialLM-Llama-1B | o3 |
|---|---|---|
| Developer | Manycore Research | OpenAI |
| Context | — | 200K |
| Modalities | Text, Code | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $10/1M in · $40/1M out |
| Value score | — | 93 |
| Summary | SpatialLM-Llama-1B is a 1-billion-parameter language model fine-tuned for 3D spatial scene understanding, converting point-cloud inputs from monocular video, RGB-D, or LiDAR into structured outputs including walls, doors, windows, furniture labels, and oriented 3D bounding boxes. It is designed to support robotics perception, embodied AI navigation, and spatial reasoning tasks. | OpenAI reasoning model focused on hard problems. |