Model comparison
herinsoni/gemma3n-e2b vs o3
Capability radar, value bars, and side-by-side posture.
herinsoni/gemma3n-e2b
Not scored
value score
o3
93
value score
herinsoni/gemma3n-e2b ctx
—
o3 ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- o393
Attribute tape
| Field | herinsoni/gemma3n-e2b | o3 |
|---|---|---|
| Developer | E2B | OpenAI |
| Context | — | 200K |
| Modalities | Text, Code | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $10/1M in · $40/1M out |
| Value score | — | 93 |
| Summary | A community-hosted Hugging Face model repository forking or fine-tuning Google's Gemma 3n E2B, an open-weight multimodal model optimized for on-device inference with text, image, audio, and video inputs. The underlying Gemma 3n E2B base model uses selective parameter activation to run efficiently within approximately 2 GB of GPU RAM. | OpenAI reasoning model focused on hard problems. |