Model comparison
snap-dumbbell-dfine-small-v82-balanced40 vs o3
Capability radar, value bars, and side-by-side posture.
snap-dumbbell-dfine-small-v82-balanced40
Not scored
value score
o3
93
value score
snap-dumbbell-dfine-small-v82-balanced40 ctx
—
o3 ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- o393
Attribute tape
| Field | snap-dumbbell-dfine-small-v82-balanced40 | o3 |
|---|---|---|
| Developer | aguxez | OpenAI |
| Context | — | 200K |
| Modalities | Text, Code | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $10/1M in · $40/1M out |
| Value score | — | 93 |
| Summary | A fine-tuned D-FINE small object detection model hosted by aguxez on Hugging Face, specializing in real-time bounding-box localization for a dumbbell-detection use case. It is part of a series of versioned fine-tunes (v79–v82) applying Fine-grained Distribution Refinement (FDR) and Global Optimal Localization Self-Distillation (GO-LSD) techniques to a small-scale DETR-style architecture. | OpenAI reasoning model focused on hard problems. |