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Best local LLM for iPhone in 2026
For most people it's Gemma 4 E2B (GGUF, Vision) on an iPhone with 12 GB of RAM and LFM2 2.6B on everything with 6 or 8 GB: both are fast, light and answer well. Qwen 3.5 4B (GGUF, Vision) scores highest on our quality suite but runs slower, and LFM2 1.2B (GGUF) is the fastest at 77.3 tok/s.
Which model should I pick for my iPhone?
It depends on the memory in your iPhone. These are the models Pocket AI Lab offers first on each class, plus the best alternatives that still leave room for long chats.
3–4 GB: iPhone 11, 11 Pro, 12, 12 mini, 13, 13 mini, SE (2nd and 3rd gen)
LFM2 1.2B (GGUF), 77.3 tok/s, quality 58.5/100. Also good: Qwen 3.5 0.8B (GGUF, Vision) (73.7 tok/s, 46.6/100).
6 GB: iPhone 12 Pro, 13 Pro, 14, 14 Plus, 14 Pro, 15, 15 Plus
LFM2 2.6B (GGUF), 35.9 tok/s, quality 60.2/100. Also good: Llama 3.2 3B (23.9 tok/s, 59.3/100), Llama 3.2 3B (GGUF) (26.9 tok/s, 59.3/100), LFM2 1.2B (GGUF) (77.3 tok/s, 58.5/100).
8 GB: iPhone 15 Pro, 16, 16 Plus, 16 Pro, 16e, 17, 17e
LFM2 2.6B (GGUF), 35.9 tok/s, quality 60.2/100. Also good: Qwen 3.5 4B (GGUF, Vision) (14.7 tok/s, 68.6/100), Qwen 3.5 2B (GGUF, Vision) (36.6 tok/s, 64.4/100), Llama 3.2 3B (23.9 tok/s, 59.3/100).
12 GB: iPhone 17 Pro, 17 Pro Max, iPhone Air
Gemma 4 E2B (GGUF, Vision), 35.0 tok/s, quality 63.6/100. Also good: Qwen 3.5 4B (GGUF, Vision) (14.7 tok/s, 68.6/100), Qwen 3.5 2B (GGUF, Vision) (36.6 tok/s, 64.4/100), Gemma 3 4B (GGUF, Vision) (20.7 tok/s, 60.2/100).
How do the models compare?
Qwen 3.5 4B (GGUF, Vision) leads on quality, LFM2 1.2B (GGUF) on speed, and Gemma 4 E2B (GGUF, Vision) gives the best balance of the two with vision included.
| Model | Quality | tok/s | RAM GB | 3–4 GB | 6 GB | 8 GB | 12 GB |
|---|---|---|---|---|---|---|---|
| Qwen 3.5 4B (GGUF, Vision) | 68.6 | 14.7 | 4.4 | ✗ | ✗ | ✓ | ✓ |
| Qwen 3.5 2B (GGUF, Vision) | 64.4 | 36.6 | 2.8 | ✗ | ≈ | ✓ | ✓ |
| Qwen2-VL 7B (Vision) | 63.6 | 11.6 | 5.2 | – | ✗ | ≈ | ≈ |
| Gemma 4 E2B (GGUF, Vision) | 63.6 | 35.0 | 5.0 | ✗ | ✗ | ≈ | ✓ |
| Gemma 3 4B (GGUF, Vision) | 60.2 | 20.7 | 5.0 | ✗ | ✗ | ≈ | ✓ |
| LFM2 2.6B (GGUF) | 60.2 | 35.9 | 2.2 | ✗ | ✓ | ✓ | ✓ |
| Llama 3.2 3B | 59.3 | 23.9 | 2.2 | – | ✓ | ✓ | ✓ |
| Llama 3.2 3B (GGUF) | 59.3 | 26.9 | 2.5 | ✗ | ✓ | ✓ | ✓ |
| LFM2 1.2B (GGUF) | 58.5 | 77.3 | 1.4 | ✓ | ✓ | ✓ | ✓ |
| Llama 3.1 8B | 57.6 | 7.6 | 4.7 | – | ✗ | ✓ | ✓ |
| Gemma 3 4B (Vision) | 57.6 | 21.8 | 4.8 | – | ✗ | ✓ | ✓ |
| Qwen 2.5 3B | 55.1 | 26.3 | 2.2 | – | ✓ | ✓ | ✓ |
| Mistral 7B v0.3 | 51.7 | 9.1 | 4.5 | – | ✗ | ✓ | ✓ |
| Qwen 3.5 0.8B (GGUF, Vision) | 46.6 | 73.7 | 1.5 | ✓ | ✓ | ✓ | ✓ |
| Gemma 2 2B | 40.7 | 30.3 | 1.6 | – | ✓ | ✓ | ✓ |
Quality: share of passed tasks on the Pocket AI Lab suite v3. Speed: generation on an iPhone Air. ✓ runs, ≈ fits with little headroom, ✗ too big, – not measured, by iPhone memory class. Full data on the benchmarks page.
Which app should I use?
Many of these models also run in other offline LLM apps, which differ in runtimes, price and the iOS version they need.
The numbers on this page come from Pocket AI Lab, our free app, which runs GGUF, MLX and Core ML models side by side and checks each one against your phone's memory before downloading. PocketPal AI and Private LLM run on older iOS versions than Pocket AI Lab, and Google AI Edge Gallery runs Gemma 4 on Google's LiteRT-LM runtime. Price, minimum iOS, engine and source code for each app are on the comparison page.
Questions
What is the best local LLM for iPhone?
For most people it's Gemma 4 E2B (GGUF, Vision) on an iPhone with 12 GB of RAM and LFM2 2.6B on everything with 6 or 8 GB: both are fast, light and answer well. Qwen 3.5 4B (GGUF, Vision) scores highest on our quality suite but runs slower, and LFM2 1.2B (GGUF) is the fastest at 77.3 tok/s.
Which local LLM is fastest on iPhone?
LFM2 1.2B (GGUF): 77.3 tok/s on an iPhone Air in Pocket AI Lab, with a quality score of 58.5/100. It's small enough for every iPhone that runs iOS 26.
Which local model can read photos on iPhone?
Qwen 3.5 4B (GGUF, Vision) (14.7 tok/s, 68.6/100), Qwen 3.5 2B (GGUF, Vision) (36.6 tok/s, 64.4/100), Qwen2-VL 7B (Vision) (11.6 tok/s, 63.6/100). Attach a photo to a message and the model describes it offline.
Can my iPhone run Gemma 4?
Gemma 4 E2B (GGUF, Vision) runs on iPhones with 8 GB of RAM or more. On 8 GB phones it fits with little headroom, so long chats may make it reload. On 4 and 6 GB iPhones pick LFM2 or Qwen 3.5 2B instead.
Can an iPhone run an LLM without internet?
Yes. Pocket AI Lab downloads the model once from Hugging Face, then chat works in airplane mode and conversations stay on the phone.
How were these models tested?
With Pocket AI Lab's Build test on an iPhone Air (A19): three timed generations of 200 tokens per model and a 118-task quality suite graded by deterministic checks. Older iPhones are slower; the ranking mostly holds.
See every model with its speed, memory and supported iPhones in the catalog.