Model comparison
Moonshine Tiny vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
Moonshine Tiny
Not scored
value score
Gemini 2.5 Pro
93
value score
Moonshine Tiny 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 | Moonshine Tiny | Gemini 2.5 Pro |
|---|---|---|
| Developer | Vokra | 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 | Moonshine Tiny is a compact, ~27M-parameter automatic speech recognition (ASR) model optimized for real-time transcription on edge and resource-constrained devices. It processes variable-length audio and is reported to require less compute than Whisper Tiny for equivalent audio while achieving competitive or superior accuracy. | Google frontier multimodal model. |