Model comparison
nanochat-d12 vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
nanochat-d12
Not scored
value score
Gemini 2.5 Pro
93
value score
nanochat-d12 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 | nanochat-d12 | Gemini 2.5 Pro |
|---|---|---|
| Developer | Unknown | 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 small, open-weight chat-oriented language model (~124M parameters) published under the nanochat project, built on a minimal end-to-end training stack covering pretraining on FineWeb-EDU through chat SFT. Designed for reproducibility and hackability on a single GPU node rather than frontier-scale performance. | Google frontier multimodal model. |