Model comparison
gemma-4-12B-it-8bit-mlx vs o3
Capability radar, value bars, and side-by-side posture.
gemma-4-12B-it-8bit-mlx
Not scored
value score
o3
93
value score
gemma-4-12B-it-8bit-mlx ctx
—
o3 ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- o393
Attribute tape
| Field | gemma-4-12B-it-8bit-mlx | o3 |
|---|---|---|
| Developer | salohcin714 | OpenAI |
| Context | — | 200K |
| Modalities | Text, Code | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $10/1M in · $40/1M out |
| Value score | — | 93 |
| Summary | An 8-bit MLX quantized conversion of Google's Gemma 4 12B instruction-tuned model, packaged by Hugging Face user salohcin714 for local inference on Apple Silicon Macs. It reduces memory requirements while maintaining close-to-original model performance for chat and text generation tasks. | OpenAI reasoning model focused on hard problems. |