Model comparison
cma-mini vs GPT-5
Capability radar, value bars, and side-by-side posture.
cma-mini
Not scored
value score
GPT-5
94
value score
cma-mini ctx
—
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | cma-mini | GPT-5 |
|---|---|---|
| Developer | User01110 | OpenAI |
| Context | — | 400K |
| Modalities | Text, Code, Image, Audio | |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | Mid-High |
| Value score | — | 94 |
| 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. | OpenAI frontier multimodal model. |