Model comparison
Kadabra Gemma4-E2B SFTJv2-SFT2 vs GPT-5
Capability radar, value bars, and side-by-side posture.
Kadabra Gemma4-E2B SFTJv2-SFT2
Not scored
value score
GPT-5
94
value score
Kadabra Gemma4-E2B SFTJv2-SFT2 ctx
—
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | Kadabra Gemma4-E2B SFTJv2-SFT2 | GPT-5 |
|---|---|---|
| Developer | Kadabra | OpenAI |
| Context | — | 400K |
| Modalities | Text, Code, Image, Audio | |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | Mid-High |
| Value score | — | 94 |
| 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 frontier multimodal model. |