What AI models can the Samsung Galaxy A36 (12 GB RAM) run?

RAM: 12.0 GB
Storage: 256 GB
One app can use: 7.2 GB
Memory bandwidth: 51 GB/s
FP16 compute: 0.9 TFLOPS
Released: 2025

293 / 622 LLMs run Best: Ling 3.0 Tiny (8B-A1.3B) 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 12.0 GB here), not in storage. Storage (256 GB 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 7.2 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	Samsung
Type	Mobile device (system on a chip)
App share of memory	60% (what one app can typically hold before the system closes it)
Chip	Snapdragon 6 Gen 3
RAM type	LPDDR4X or LPDDR5
Versions sold	A36: 6 GB RAM with 128 GB or 256 GB A36: 8 GB RAM with 128 GB or 256 GB A36 (India): 12 GB RAM with 256 GB
Bandwidth figure	51.2 GB/s, the chip’s rated memory speed (the phone maker publishes none)
Note	Snapdragon 6 Gen 3 (Adreno 710 GPU); LPDDR4X/LPDDR5.
Maker’s specifications	www.samsung.com

Apps that run models well on the Samsung Galaxy A36 (12 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 Samsung Galaxy A36 (12 GB RAM)

Quality	Model	Quant	Memory	Speed	Runs
57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.	Ling 3.0 Tiny (8B-A1.3B)Ant Group (inclusionAI)	`Q4_K_M`	5.6 GB	31.8 tok/s	Runs great
74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.	MiMo V2.6 Distill Qwen 9BXiaomi	`Q4_K_M`	6.6 GB	4.9 tok/s	Slowtight fit
74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.	SenseNova Loop 9B PreviewSenseTime	`Q4_K_M`	7.0 GB	4.8 tok/s	Slowtight fit
66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.	Nemotron 3.5 Bolt E4BNVIDIA	`Q4_K_M`	5.6 GB	10.3 tok/s	Runs well
73Great quality (A) · 73 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.	Ornith 1.5 9BDeepReinforce	`Q4_K_M`	6.8 GB	4.8 tok/s	Slowtight fit
64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	Nanbeige4.2 3BBOSS Zhipin (Nanbeige)	`Q4_K_M`	4.6 GB	11.1 tok/s	Runs well
72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 9BAlibaba	`Q4_K_M`	6.8 GB	4.8 tok/s	Slowtight fit
64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 E4BGoogle	`Q4_K_M`	5.6 GB	10.3 tok/s	Runs well
58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	Mellum2.1 Thinking (12B-A2.5B)JetBrains	`Q3_K_M`	6.7 GB	22.2 tok/s	Runs welltight fit
71Great quality (A) · 71 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	Ornith 1.0 9BDeepReinforce	`Q4_K_M`	6.8 GB	4.8 tok/s	Slowtight fit
70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	TMax 9BAi2	`Q4_K_M`	6.3 GB	5.2 tok/s	Slowtight fit
69Good quality (B) · 69 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 12BGoogle	`Q3_K_M`	7.1 GB	5.0 tok/s	Slowtight fit

Best Image models for the Samsung Galaxy A36 (12 GB RAM)

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

Best Video models for the Samsung Galaxy A36 (12 GB RAM)

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

Best Decision models for the Samsung Galaxy A36 (12 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.