Products · Arduino · Board

Arduino UNO Q

Chip: Qualcomm Dragonwing QRB2210
Unified memory: 2 or 4 GB
Launch price: $44–$59
Released: 2025

Product page (opens in a new tab) Full AI report

Configurations

Pick one to see which models it runs. More memory lets larger models fit; bandwidth sets how fast they answer.

Configuration	Memory	Usable for AI	Bandwidth	LLMs that run well	Launch price
Qualcomm Dragonwing QRB2210	2.0 GB	1.2 GB	14 GB/s	13 of 622	$44
Qualcomm Dragonwing QRB2210	4.0 GB	2.8 GB	14 GB/s	13 of 622	$59

Specifications 4.0 GB configuration

Maker	Arduino
Type	Board
Chip	Arduino UNO Q (4 GB)
Unified memory	4.0 GB
Usable for AI models	2.8 GB
Memory bandwidth	14 GB/s
FP16 compute	0.1 TFLOPS
Notes	Qualcomm Dragonwing QRB2210 running Debian, plus an STM32U585 microcontroller. Launch prices $44 (2 GB) and $59 (4 GB, January 2026); Arduino raised them to $59 and $79 on 6 July 2026.
Product page	store.arduino.cc (opens in a new tab)

Best LLMs for the Arduino UNO Q 4.0 GB

Quality	Model	Quant	Memory	Speed	Runs
55Good quality (B) · 55 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.	LFM3 1.7BLiquid AI	`Q6_K`	2.3 GB	1.2 tok/s	Very slow
57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.	MiniCPM5 2BOpenBMB	`Q4_K_M`	2.7 GB	1.2 tok/s	Very slowtight fit
48Fair quality (C) · 48 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.	LFM3-VL 2BLiquid AI	`Q5_K_M`	2.3 GB	1.3 tok/s	Very slow
46Fair quality (C) · 46 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.	Spark-X2.6 4BSparkLLM	`Q2_K`	2.8 GB	1.2 tok/s	Very slowtight fit
42Fair quality (C) · 42 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.	TMax 4BAi2	`Q2_K`	2.8 GB	1.1 tok/s	Very slowtight fit
41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.	LFM2.5 2.6BLiquid AI	`Q4_K_M`	2.6 GB	1.1 tok/s	Very slowtight fit
38Basic quality (D) · 38 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.	TMax 2BAi2	`Q5_K_M`	2.3 GB	1.3 tok/s	Very slow
41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.	Jamba Reasoning 3BAI21 Labs	`Q4_K_M`	2.8 GB	0.9 tok/s	Very slowtight fit
39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.	PaddleOCR-VL 1.6 0.9BBaidu	`Q4_K_M`	1.6 GB	3.1 tok/s	Slow
38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 2BAlibaba	`Q4_K_M`	2.3 GB	1.3 tok/s	Very slow

Best Image models for the Arduino UNO Q 4.0 GB

Quality	Model	Quant	Memory	Speed	Runs
28Basic quality (D) · 28 of 100: how capable the model is at FP16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.	SD TurboStability AI	`FP16`	2.6 GB	29 s	Runs welltight fit · encoder unloaded after use
42Fair quality (C) · 42 of 100: how capable the model is at FP16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.	Realistic Vision V5.1SG161222	`FP16`	2.5 GB	7.2 min	Very slowtight fit · encoder unloaded after use
40Fair quality (C) · 40 of 100: how capable the model is at FP16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.	DreamShaper 8Lykon	`FP16`	2.5 GB	7.2 min	Very slowtight fit · encoder unloaded after use
30Basic quality (D) · 30 of 100: how capable the model is at FP16, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking.	LCM DreamShaper v7Tsinghua (LCM)	`FP16`	2.5 GB	1.5 min	Slowtight fit · encoder unloaded after use
50Fair quality (C) · 50 of 100: how capable the model is at FP16, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking.	PixArt-Σ XL 1024PixArt	`FP16`	2.3 GB	11.2 min	Very slowCPU offload
35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking.	Stable Diffusion 1.5Stability AI / Runway	`FP16`	2.5 GB	7.2 min	Very slowtight fit · encoder unloaded after use

Best Video models for the Arduino UNO Q 4.0 GB

Quality	Model	Quant	Memory	Speed	Runs
35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 42/100 (quality, fit, speed and memory use) sets the ranking.	AnimateDiff v3 (SD 1.5)Shanghai AI Lab	`FP16`	2.6 GB	2.5 h	Very slowtight fit · CPU offload

Best Decision models for the Arduino UNO Q 4.0 GB

Quality	Model	Quant	Memory	Speed	Runs
86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.	Jina Reranker v3.5Jina AI	`Q8_0`	1.7 GB	40.4 s	Very slow
84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.	Jina Reranker v3Jina AI	`Q8_0`	1.7 GB	40.4 s	Very slow
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.	GLiNER2.5 DecideFastino	`Q8_0`	1.2 GB	17.8 s	Very slow
81Great quality (A) · 81 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	mxbai-rerank-large v2Mixedbread	`Q6_K`	2.1 GB	103.4 s	Very slow
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	FRIDA-DecisionsSber AI	`Q8_0`	1.7 GB	29.7 s	Very slow
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3 Reranker 0.6BAlibaba	`Q8_0`	1.7 GB	40.4 s	Very slow
78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.	OpenAI Privacy FilterOpenAI	`Q8_0`	2.4 GB	1.8 s	Very slowtight fit
77Great quality (A) · 77 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.	zerank-1 smallZeroEntropy	`Q5_K_M`	2.3 GB	115.4 s	Very slow

Spec sources

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.