Device profile · Android
Best local LLMs for Google Pixel 9 Pro
Google Pixel 9 Pro has ~10.5 GB usable for model weights and runs 62 of 135 popular models. Best tool: PocketPal AI.
- Usable memory
- ~10.5 GB
- Models run
- 62
- Too large
- 73
- Top pick
- 12B
Runs at Q4_K_M using ~8.9 GB of ~10.5 GB usable.
Runs on Google Pixel 9 Pro
- TightQwen2.5 Coder 14B14B · ~10.1 GB at Q4_K_M
- TightPhi-4-reasoning14B · ~10.1 GB at Q4_K_M
- YesMistral Nemo 12B12.2B · ~8.6 GB at Q4_K_M
- YesGemma 3 12B12B · ~8.9 GB at Q4_K_M
- YesGemma 4 12B12B · ~8.7 GB at Q4_K_M
- YesLlama 3.2 Vision 11B10.7B · ~9 GB at Q4_K_M
- FN YesFalcon3 10B10B · ~7.5 GB at Q4_K_M
- YesGemma 2 9B9B · ~7.3 GB at Q4_K_M
- GL YesGLM-4 9B9B · ~7.3 GB at Q4_K_M
- GL YesGLM-4-9B-04149B · ~7.2 GB at Q4_K_M
- NE YesNemotron Nano 9B v29B · ~7.6 GB at Q4_K_M
- OR YesOrnith 1.0 9B9B · ~7.1 GB at Q4_K_M
- YesGranite 4.1 8B8.8B · ~6.8 GB at Q4_K_M
- LF YesLFM2.5 8B-A1B8.3B MoE · ~6.7 GB at Q4_K_M
- YesQwen2.5-VL 7B8.29B · ~7.1 GB at Q4_K_M
- YesDeepSeek-R1-0528-Qwen3-8B8.19B · ~6.2 GB at Q4_K_M
- YesLlama 3.1 8B8B · ~6.4 GB at Q4_K_M
- YesQwen3 8B8B · ~6.5 GB at Q4_K_M
- YesDeepSeek-R1-Distill-Llama 8B8B · ~6.4 GB at Q4_K_M
- YesGemma 3n E4B8B · ~5.7 GB at Q4_K_M
- YesGemma 4 E4B8B · ~6.5 GB at Q4_K_M
- YesMistral 7B7B · ~5.8 GB at Q4_K_M
- YesQwen2.5 7B7B · ~6.1 GB at Q4_K_M
- YesDeepSeek-R1-Distill-Qwen 7B7B · ~6.1 GB at Q4_K_M
- YesQwen2.5 Coder 7B7B · ~5.8 GB at Q4_K_M
- YesGemma 4 E2B5.1B · ~4.4 GB at Q4_K_M
- YesGemma 3 4B4B · ~3.8 GB at Q4_K_M
- YesQwen3 4B4B · ~3.8 GB at Q4_K_M
- NE YesNemotron 3 Nano 4B4B · ~3.9 GB at Q4_K_M
- YesPhi-3.5-mini 3.8B3.82B · ~3.7 GB at Q4_K_M
- YesPhi-4-mini 3.8B3.8B · ~3.8 GB at Q4_K_M
- YesPhi-4-mini-reasoning3.8B · ~3.6 GB at Q4_K_M
- YesQwen2.5-VL 3B3.75B · ~4.4 GB at Q4_K_M
- YesGranite 4.1 3B3.4B · ~3.3 GB at Q4_K_M
- YesQwen2.5 3B3.09B · ~3.3 GB at Q4_K_M
- YesQwen2.5 Coder 3B3.09B · ~3 GB at Q4_K_M
- YesLlama 3.2 3B3B · ~3.2 GB at Q4_K_M
- YesSmolLM3 3B3B · ~3 GB at Q4_K_M
- OP YesApple OpenELM 3B3B · ~3 GB at Q4_K_M
- YesGemma 2 2B2.61B · ~2.9 GB at Q4_K_M
- YesGranite 3.1 2B2.53B · ~2.8 GB at Q4_K_M
- S YesSarvam-1 2B2B · ~2.7 GB at Q4_K_M
- YesSmolLM2 1.7B1.7B · ~2.2 GB at Q4_K_M
- YesQwen3 1.7B1.7B · ~2.4 GB at Q4_K_M
- YesQwen2.5 1.5B1.54B · ~2.2 GB at Q4_K_M
- YesQwen2.5 Coder 1.5B1.54B · ~2 GB at Q4_K_M
- MI YesMiniCPM-V 4.61.3B · ~1.6 GB at Q4_K_M
- LF YesLFM2 1.2B1.17B · ~2.5 GB at Q4_K_M
- LF YesLFM2.5 1.2B1.17B · ~1.8 GB at Q4_K_M
- LF YesLFM2.5 1.2B Thinking1.17B · ~1.8 GB at Q4_K_M
- TL YesTinyLlama 1.1B1.1B · ~1.8 GB at Q4_K_M
- OP YesApple OpenELM 1.1B1.1B · ~1.7 GB at Q4_K_M
- YesLlama 3.2 1B1B · ~1.8 GB at Q4_K_M
- YesGemma 3 1B1B · ~1.8 GB at Q4_K_M
- LF YesLFM2 700M0.742B · ~1.9 GB at Q4_K_M
- YesQwen3 0.6B0.6B · ~1.5 GB at Q4_K_M
- YesQwen2.5 0.5B0.494B · ~1.5 GB at Q4_K_M
- YesQwen2.5 Coder 0.5B0.494B · ~1.4 GB at Q4_K_M
- YesSmolLM2 360M0.362B · ~1.2 GB at Q4_K_M
- LF YesLFM2 350M0.354B · ~1.4 GB at Q4_K_M
- YesGemma 3 270M0.27B · ~1.1 GB at Q4_K_M
- YesSmolLM2 135M0.135B · ~1 GB at Q4_K_M
Too large for this device
Best way to run models on Android
Beginner: PocketPal AI, Polished app, download GGUF and run offline.
Power user: MLC LLM / LiteRT-LM, GPU/NPU acceleration paths for supported chips.
NPU acceleration is limited and chip-specific; most apps run on CPU. Expect 1B-4B class.
Full Android tool guide →FAQ
What is the best local LLM for Google Pixel 9 Pro?
Gemma 3 12B is the strongest model that runs comfortably, using ~8.9 GB at Q4_K_M of the ~10.5 GB usable on Google Pixel 9 Pro.
How much of Google Pixel 9 Pro's memory can I use for a model?
About 10.5 GB. On a CPU-only machine, leave headroom for the OS and apps.
Which tool should I use on Android?
PocketPal AI (Polished app, download GGUF and run offline.) or MLC LLM / LiteRT-LM for speed. NPU acceleration is limited and chip-specific; most apps run on CPU. Expect 1B-4B class.
Compare nearby devices
Hardware with a similar usable pool, and how many of the 135 tracked models each runs next to Google Pixel 9 Pro's 62.
Sources
- 9to5google.com
- androidpolice.com
- comparigon.com
- github.com/a-ghorbani
- github.com/google-ai-edge
- github.com/mlc-ai
- github.com/shubham0204
- github.com/Vali-98
- gorilla.cs.berkeley.edu
- gsmarena.com/google_pixel_9_pro-12424.php
- gsmarena.com/google_pixel_9_pro-13218.php
- huggingface.co
- layla-network.ai
- lmarena.ai
- mlc.ai
- ollama.com/library/gemma3
- ollama.com/library/gemma3/tags
Memory figures are estimates. See methodology.