Model comparison
Kadabra Gemma4-E2B SFTJv2-SFT2 vs o3
Capability radar, value bars, and side-by-side posture.
Kadabra Gemma4-E2B SFTJv2-SFT2
Not scored
value score
o3
93
value score
Kadabra Gemma4-E2B SFTJv2-SFT2 ctx
—
o3 ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- o393
Attribute tape
| Field | Kadabra Gemma4-E2B SFTJv2-SFT2 | o3 |
|---|---|---|
| Developer | Kadabra | OpenAI |
| Context | — | 200K |
| Modalities | Text, Code | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $10/1M in · $40/1M out |
| Value score | — | 93 |
| Summary | A community fine-tune of Google DeepMind's Gemma 4 E2B open-weight multimodal model, published by Kadabra on Hugging Face with GGUF packaging for efficient local inference. It is an instruction-tuned checkpoint oriented toward resource-constrained deployment rather than a hosted AI service. | OpenAI reasoning model focused on hard problems. |