Model comparison
cma-mini vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
cma-mini
Not scored
value score
Gemini 2.5 Pro
93
value score
cma-mini 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 | cma-mini | Gemini 2.5 Pro |
|---|---|---|
| Developer | User01110 | 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 | cma-mini is a 1.01M-parameter experimental causal language model built around a Micro-Channel Attention architecture with a deterministic byte-level tokenizer and a 2,048-token context window. It is a research prototype intended to probe the limits of very small transformer-style models rather than serve as a production assistant or API. | Google frontier multimodal model. |