Model comparison
sft-out vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
sft-out
Not scored
value score
Gemini 2.5 Pro
93
value score
sft-out 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 | sft-out | Gemini 2.5 Pro |
|---|---|---|
| Developer | Nanthasit | 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 supervised fine-tuned model checkpoint by Nanthasit (Nanthasit Burankum), built on Qwen2.5-0.5B-Instruct and designed for lightweight Thai-language chat and text completion at sub-1B parameter scale. Intended as a base for further SFT or PEFT adaptation rather than a production-grade high-capability model. | Google frontier multimodal model. |