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 2.0 GB configuration

Maker	Arduino
Type	Board
Chip	Arduino UNO Q (2 GB)
Unified memory	2.0 GB
Usable for AI models	1.2 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 2.0 GB

Quality	Model	Quant	Memory	Speed	Runs
2Basic quality (D) · 2 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.	Falcon-H1 Tiny 90M InstructTII	`Q3_K_M`	0.8 GB	42.3 tok/s	Runs great
2Basic quality (D) · 2 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.	SmolLM2 135M InstructHugging Face	`Q2_K`	0.9 GB	37.2 tok/s	Runs great
1Basic quality (D) · 1 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.	SmolLM 135M InstructHugging Face	`Q2_K`	0.8 GB	37.2 tok/s	Runs great
7Basic quality (D) · 7 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.	LFM2.5 230MLiquid AI	`Q2_K`	0.9 GB	21.0 tok/s	Runs well
9Basic quality (D) · 9 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.	LFM2.5 350MLiquid AI	`Q2_K`	0.9 GB	13.8 tok/s	Runs well
18Basic quality (D) · 18 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 0.8BAlibaba	`Q2_K`	1.1 GB	5.6 tok/s	Slowtight fit
8Basic quality (D) · 8 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.	Granite 4.0 H 350MIBM	`Q2_K`	0.9 GB	14.2 tok/s	Runs well
8Basic quality (D) · 8 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.	LFM2 350MLiquid AI	`Q2_K`	0.9 GB	13.8 tok/s	Runs well
4Basic quality (D) · 4 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking.	SmolVLM 256M InstructHugging Face	`Q2_K`	1.0 GB	18.6 tok/s	Runs well
4Basic quality (D) · 4 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 3 270MGoogle	`Q2_K`	0.8 GB	17.9 tok/s	Runs well

Best Image models for the Arduino UNO Q 2.0 GB

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

Best Video models for the Arduino UNO Q 2.0 GB

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

Best Decision models for the Arduino UNO Q 2.0 GB

Quality	Model	Quant	Memory	Speed	Runs
76Great quality (A) · 76 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.	Llama Prompt Guard 2 86MMeta	`Q8_0`	1.0 GB	20.3 s	Very slow
75Great quality (A) · 75 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.	mxbai-rerank-base v2Mixedbread	`Q6_K`	1.1 GB	32.9 s	Very slowtight fit
74Great quality (A) · 74 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.	GLiClass ModernBERT Large v3Knowledgator	`Q8_0`	1.1 GB	14.5 s	Very slowtight fit
70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.	GTE Reranker ModernBERT BaseAlibaba	`Q8_0`	0.8 GB	10.9 s	Very slow
68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.	Llama Prompt Guard 2 22MMeta	`Q8_0`	0.7 GB	5.1 s	Very slow
72Great quality (A) · 72 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.	DeBERTa v3 Large Zero-shot v2.0Moritz Laurer	`Q8_0`	1.2 GB	15.9 s	Very slowtight fit
70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.	Jina Reranker v2 Base MultilingualJina AI	`Q8_0`	1.0 GB	20.3 s	Very slow
68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.	Granite Embedding Reranker English R2IBM	`Q8_0`	0.8 GB	10.9 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.