# Can I run Qwen3 235B A22B on Samsung Galaxy S24 Ultra?

> **No, not enough memory.** Needs ~136.9 GB even at Q4_K_M, but only ~8.5 GB is usable.

Last validated: 2026-06-15.

## Memory math
- Qwen3 235B A22B: 235B (MoE, 22B active); Q4_K_M weighs 132.39 GB on disk.
- At Q4_K_M with a 4k context it needs ~136.9 GB (weights + KV cache + ~0.8 GB runtime overhead, ±15% with context length).
- Samsung Galaxy S24 Ultra: 12 GB ram, ~8.5 GB usable for model weights.
- Headroom: ~-128.4 GB.

## How to run
Recommended quant: n/a. Best tool on Android: PocketPal AI.

## Run Qwen3 235B A22B on other devices
- [Apple M3 Ultra (256GB)](https://localmodel.run/can-i-run/qwen3-235b-a22b/apple-m3-ultra-256gb)

## Other models that run on Samsung Galaxy S24 Ultra
- [Falcon3 10B (10B)](https://localmodel.run/can-i-run/falcon3-10b/samsung-s24-ultra)
- [Gemma 2 9B (9B)](https://localmodel.run/can-i-run/gemma-2-9b/samsung-s24-ultra)
- [GLM-4 9B (9B)](https://localmodel.run/can-i-run/glm-4-9b/samsung-s24-ultra)
- [Qwen2.5-VL 7B (8.29B)](https://localmodel.run/can-i-run/qwen2.5-vl-7b/samsung-s24-ultra)
- [Llama 3.1 8B (8B)](https://localmodel.run/can-i-run/llama-3.1-8b/samsung-s24-ultra)
- [Qwen3 8B (8B)](https://localmodel.run/can-i-run/qwen3-8b/samsung-s24-ultra)

Estimate, not a guarantee. Sources: https://ollama.com/library/qwen3, https://ollama.com/library/qwen3/tags, https://huggingface.co/unsloth/Qwen3-235B-A22B-GGUF, https://huggingface.co/Qwen/Qwen3-235B-A22B.
More: https://localmodel.run/can-i-run/qwen3-235b-a22b/samsung-s24-ultra