Run leading on-device AI on your phone

8 mainstream open and closed-weight models, compared & explained

From Google's Gemma 4 to Apple Foundation Models, the on-device AI landscape exploded in 2026. We compare 8 production-ready models that run entirely on your phone — no cloud, no subscription, no privacy compromise.

Cove uses Gemma 4 across our travel, voice, photo, and health apps, so we know what works on real devices. This guide is what we wish existed when we picked our model.

Why on-device matters

Privacy by design

Your photos, voice notes, and health data never leave your phone — by architecture, not policy.

Works offline

On a plane, in a tunnel, in rural areas — your AI keeps working without a network.

Instant response

No round-trip to a datacenter. Time-to-first-token under 500ms on flagship phones.

Gemma 4 E2B Google DeepMind

1.5 GB · text+vision+audio

Last reviewed: May 2026
Microsoft Phi-4 multimodal Microsoft Research

3.5 GB · text+vision+audio

Last reviewed: May 2026
Apple Foundation Models Apple

— GB · text+vision

Last reviewed: May 2026
Llama 3.2 Mobile Meta AI

2 GB · text

Last reviewed: May 2026
Qwen 3.5 2B Alibaba Cloud

1.5 GB · text+vision

Last reviewed: May 2026
Ministral 3B Mistral AI

2 GB · text+vision

Last reviewed: May 2026
DeepSeek R1 Distill (Qwen 1.5B) DeepSeek

1 GB · text

Last reviewed: May 2026
MiniCPM-V 4.0 ModelBest / OpenBMB

2.5 GB · text+vision

Last reviewed: May 2026

See it in real apps

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