What AI models can the OnePlus 13 (24 GB RAM) run?

RAM: 24.0 GB
Storage: 1 TB
One app can use: 15.6 GB
Memory bandwidth: 85 GB/s
FP16 compute: 3.4 TFLOPS
Released: 2025

434 / 622 LLMs run Best: Gemma 4 26B-A4B 0 / 61 Image models run No Android app 0 / 43 Video models run No Android app 0 / 70 Decision models run No Android app

A model runs in RAM (the 24.0 GB here), not in storage. Storage (1 TB on this version) only keeps the downloaded files, and even the smallest size has room for several. Android lets one app hold only part of the RAM before it closes the app, so we plan around 15.6 GB; a model bigger than that won’t run. Phone apps such as PocketPal AI download a model once, then run it with no connection.

More about this hardware

Maker	OnePlus
Type	Mobile device (system on a chip)
App share of memory	65% (what one app can typically hold before the system closes it)
Chip	Snapdragon 8 Elite
RAM type	LPDDR5X
Versions sold	13: 12 GB RAM with 256 GB 13: 16 GB RAM with 512 GB 13 (India): 24 GB RAM with 1 TB
Bandwidth figure	85.3 GB/s, the chip’s rated memory speed (the phone maker publishes none)
Note	Adreno 830 GPU; LPDDR5X-10667 (85.3 GB/s).
Maker’s specifications	www.oneplus.com

Apps that run models well on the OnePlus 13 (24 GB RAM)

Android

For a typical model that fits in memory. Each model page picks the best app for that model on this hardware. All apps

Best LLMs for the OnePlus 13 (24 GB RAM)

Quality	Model	Quant	Memory	Speed	Runs
77Great quality (A) · 77 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 26B-A4BGoogle	`Q3_K_M`	13.6 GB	24.2 tok/s	Runs welltight fit
66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.	Maple Preview (20B-A1B)DeepGrove	`Q4_K_M`	13.0 GB	44.1 tok/s	Runs great
70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.	LFM2.5 24B-A2BLiquid AI	`Q4_K_M`	15.4 GB	28.4 tok/s	Runs welltight fit
73Great quality (A) · 73 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.	Raon-1 mini Preview (30B-A4B)KRAFTON	`Q3_K_M`	14.8 GB	21.6 tok/s	Runs welltight fit
65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.6 35B-A3BAlibaba	`Q2_K`	15.1 GB	37.3 tok/s	Runs welltight fit
65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	MiniCPM-V 4.7 35B-A3BOpenBMB	`Q2_K`	14.9 GB	37.3 tok/s	Runs welltight fit
65Good quality (B) · 65 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 35B-A3BAlibaba	`Q2_K`	15.1 GB	37.3 tok/s	Runs welltight fit
64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	Nex N2 Mini (35B-A3B)Nex-AGI	`Q2_K`	14.8 GB	37.3 tok/s	Runs welltight fit
70Great quality (A) · 70 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	gpt-oss 20BOpenAI	`MXFP4`	12.7 GB	21.3 tok/s	Runs well
63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	KAT-Coder V2.5 Dev (35B-A3B)Kuaishou	`Q2_K`	14.6 GB	37.3 tok/s	Runs welltight fit
63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	Sage-A1.5 35B-A3BInternScience	`Q2_K`	15.1 GB	37.3 tok/s	Runs welltight fit
63Good quality (B) · 63 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.	Ornith 1.5 35B-A3BDeepReinforce	`Q2_K`	15.1 GB	37.3 tok/s	Runs welltight fit

Best Image models for the OnePlus 13 (24 GB RAM)

None of the image models in our catalog fit in this much memory.

Best Video models for the OnePlus 13 (24 GB RAM)

None of the video models in our catalog fit in this much memory.

Best Decision models for the OnePlus 13 (24 GB RAM)

None of the decision models in our catalog fit in this much memory.

Best LLMs by task on this hardware Open in Model Finder

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.