Device profile · iOS

Best local LLMs for iPhone 15 Pro

iPhone 15 Pro has ~4.5 GB estimated usable for weights, cache and runtime; 43 of 161 tracked models fit at the estimated 4K baseline. Best tool: Apple Foundation Models.

34 fit with room 9 tight fit 118 too heavy

Usable memory: ~4.5 GB
Estimated fits: 43
Too large: 118
Suggested fit: 3B

Suggested fit Q4_K_M

Llama 3.2 3B Yes

Runs at Q4_K_M using ~3.2 GB of ~4.5 GB usable.

The suggested model uses recorded Arena scores where available, then estimated fit and speed. Score coverage is partial; it does not establish the best model for every task. Fit is an estimate, not a benchmark on this device.

Set up Llama 3.2 3B on this device →

Estimated memory fits on iPhone 15 Pro

Compatible models 43 total

Too large for this device

Kimi K3 DeepSeek-V4-Pro Kimi K2 Instruct Kimi K2.6 Kimi K2.7 Code GLM-5.2 DeepSeek R1 DeepSeek V3 DeepSeek-R1-0528 Nemotron 3 Ultra 550B-A55B Qwen3-Coder 480B-A35B Instruct MiniMax-M1-80k MiniMax M3 Llama 4 Maverick GLM-4.6 GLM-5.3-Flash DeepSeek-V4-Flash Qwen3 235B A22B dots.llm1 Devstral 2 123B Nemotron 3 Super 120B-A12B Nemotron 3.5 Super VL 120B-A12B Laguna S 2.1 gpt-oss 120B Command A Llama 4 Scout GLM-4.5-Air Sarvam-105B Hunyuan-A13B-Instruct Qwen3-Coder-Next 80B-A3B Qwen2.5 72B Llama 3.3 70B Llama-3.3-Nemotron-Super-49B-v1 Mixtral 8x7B Flint 40B-A2.5B Seed-OSS 36B Instruct Qwen3.6 35B-A3B Command R 35B Ornith 1.0 35B Ornith 1.5 35B-A3B Qwen-AgentWorld 35B-A3B Yi 1.5 34B Falcon-H1-34B-Instruct Laguna XS 2.1 Gemma 4 31B Qwen2.5 32B Qwen3 32B DeepSeek-R1-Distill-Qwen 32B Qwen2.5 Coder 32B Granite 4.0 H Small GLM-4-32B-0414 EXAONE 4.0 32B OLMo 2 32B Instruct Olmo 3.1 32B Instruct Qwen3-VL 30B-A3B Qwen3 30B-A3B Qwen3-Coder 30B-A3B North Mini Code 1.0 Sarvam-30B Nemotron 3 Nano 30B-A3B Nemotron Cascade 2 30B-A3B GLM-4.7-Flash Muse Glimmer 30B Nemotron 3.5 Lightning 30B-A3B Granite 4.2 30B Granite 4.1 30B Qwen3.6 27B Gemma 2 27B Gemma 3 27B Qwen3.8 27B Gemma 4 26B-A4B Mistral Small 3 24B Sarvam-M 24B Mistral Small 3.1 24B Magistral Small Devstral Small LFM2 24B-A2B Devstral Small 2 24B gpt-oss 20B ERNIE 4.5 21B-A3B DeepSeek-V2-Lite Phi-4 14B Qwen2.5 14B Qwen3 14B DeepSeek-R1-Distill-Qwen 14B Qwen2.5 Coder 14B Phi-4-reasoning Ministral 3 14B Mistral Nemo 12B Gemma 3 12B Gemma 4 12B Llama 3.2 Vision 11B Falcon3 10B Gemma 2 9B GLM-4 9B GLM-4-9B-0414 Nemotron Nano 9B v2 Ornith 1.0 9B Ornith 1.5 9B Granite 4.1 8B Qwen3-VL 8B LFM2.5 8B-A1B Qwen2.5-VL 7B DeepSeek-R1-0528-Qwen3-8B Llama 3.1 8B Qwen3 8B DeepSeek-R1-Distill-Llama 8B Gemma 3n E4B Gemma 4 E4B Ministral 3 8B RNJ-1 8B Granite 4.2 8B Nemotron 3.5 Bolt E4B Mistral 7B Qwen2.5 7B DeepSeek-R1-Distill-Qwen 7B Qwen2.5 Coder 7B Olmo 3 7B Instruct

Best way to run models on iOS

Runtime guide iOS

Beginner: Apple Foundation Models, Built into iOS 26, ~3B on-device model, zero download, fully private.

Power user: PocketPal AI, Run any GGUF from HuggingFace fully offline.

Phones realistically run 1B-4B class models. Anything larger thermally throttles or OOMs.

Full iOS tool guide →

FAQ

What is the best local LLM for iPhone 15 Pro?

Llama 3.2 3B is a suggested fit, using ~3.2 GB at Q4_K_M of the ~4.5 GB usable on iPhone 15 Pro.

How much of iPhone 15 Pro's memory can I use for a model?

About 4.5 GB. CPU and GPU share one memory pool; the rest stays with the operating system.

Which tool should I use on iOS?

Apple Foundation Models (Built into iOS 26, ~3B on-device model, zero download, fully private.) or PocketPal AI for speed. Phones realistically run 1B-4B class models. Anything larger thermally throttles or OOMs.