Can GPT-OSS 20B run on OnePlus 12?
YES — Runs great
Grade S · 100/100 · formula estimate
What this means
Our estimate says GPT-OSS 20B should fit comfortably on your OnePlus 12.
Download the MXFP4 version, which is about 12.1 GB. We expect it to use about 14.8 GB of the roughly 20 GB available to a model on this phone.
At the estimated speed, a roughly 300-word answer may take about 24 seconds to finish.
This result is calculated from the phone and model specifications. It has not been measured on this exact phone and setup.
16.7tokens/s
estimated · instant
14.8GB
needed at MXFP4
MXFP4
quant checked
S
grade · 100/100
needs 14.8 GBusable 20 GB
Snapdragon 8 Gen 324 GB RAMCPU / GPUalso sold with 12/16 GB
See how fast it feels
Estimated at 16.7 tokens/s — instant. A ~300-word reply takes about 24 seconds on this phone.
Where the memory goes
| Component | Detail | GB |
|---|---|---|
| Model weights | MXFP4 GGUF (12.1 GB) + mmap overhead | 12.7 |
| KV cache | 4K context window | 1.5 |
| Runtime | llama.cpp + app overhead | 0.6 |
| Total needed | at MXFP4, 4K context | 14.8 |
| Usable on OnePlus 12 | 24 GB RAM − Android system reserve | 20 |
| Headroom | left for the OS and your other apps | 5.2 |
Pick your quant
| Quant | Download | Verdict | Speed |
|---|---|---|---|
| MXFP4 BEST HERE | 12.1 GB | ✓ Runs great | ~16.7 tokens/s |
Get it running in 3 steps
1
Install PocketPal from the Play Store — free, no account needed.
2
Download "GPT-OSS 20B MXFP4" in the in-app model hub — 12.1 GB, use Wi-Fi. Search Hugging Face for
ggml-org/gpt-oss-20b-GGUF and pick the MXFP4 file.3
Set context to 4K — expect ~16.7 tokens/s on this phone.
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