Model comparison
herinsoni/gemma3n-e2b vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
herinsoni/gemma3n-e2b
Not scored
value score
Gemini 2.5 Pro
93
value score
herinsoni/gemma3n-e2b ctx
—
Gemini 2.5 Pro ctx
1.0M
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- Gemini 2.5 Pro93
Attribute tape
| Field | herinsoni/gemma3n-e2b | Gemini 2.5 Pro |
|---|---|---|
| Developer | E2B | Google DeepMind |
| Context | — | 1.0M |
| Modalities | Text, Code, Image, Audio, Video | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $1.25/1M in · $10/1M 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. | Google frontier multimodal model. |