What are the best models to run on AMD RX 6600 XT (8GB)?

Based on model rankings and 8 GB usable VRAM: Top Overall: K2 Horizon 7B (INT4) ~46 tok/s. Top Coding: Qwen3.5-9B (INT4) ~37 tok/s. Optimal Daily Driver: Granite 4.2 8B (INT4) ~41 tok/s. Maximum Model Size: Gemma 3 12B (INT4) ~26 tok/s.

How are VRAM, throughput, and latency calculated?

Calculations are determined using apxml.com modeling, combining LLM architecture analysis with GPU hardware physics. VRAM and Context Scaling: Memory requirements are determined from model architecture, including parameter count, layer configuration, and attention structure. The KV cache footprint scales deterministically based on context length, batch size, and cache precision. Throughput (TPS): Token generation is calculated in the memory-bandwidth-bound decode phase, measuring the time required to stream model weights and KV cache relative to hardware memory bandwidth. Latency (TTFT): Time to first token is calculated from the compute operations required during prompt prefill relative to hardware tensor compute capacity.

How accurate are these estimates?

Calculations are calibrated against empirical ground-truth benchmark runs across diverse architectures and hardware. Because the underlying mechanics are benchmark-calibrated, estimates remain accurate across different configurations without needing to run physical tests for every scenario. VRAM Accuracy: Memory estimates are deterministic and closely match actual allocation. Minor differences typically stay within 3% to 5% due to CUDA runtime overhead or memory allocator fragmentation. Speed and Latency Accuracy: Throughput and TTFT typically vary within 5% to 10% depending on the specific inference runtime, kernel implementations, and system power limits.

Best Models to Run on AMD RX 6600 XT (8GB) (October 2026)

Rank	Model	Parameters	Precision	TPS (Approx.)	TTFT
#119	K2 Horizon 7B	7B	INT4	46 tok/s	~3.7s
#129	Qwen3.5-4B	4B	INT4 Q8	73 tok/s 45 tok/s	~2.2s ~2.2s
#130	Qwen3.5-9B	9B	INT4	37 tok/s	~4.7s
#139	NVIDIA Nemotron 3 Nano 30B-A3B	3.5B (30B active)	INT4 Q8	12 tok/s 6 tok/s	~14.9s ~16.3s
#147	Granite 4.2 8B	8B	INT4	41 tok/s	~4.2s
#154	Gemma 4 E4B	8B	INT4	41 tok/s	~4.2s
#179	Gemma 3 12B	12B	INT4	26 tok/s	~7.4s
#183	Ministral 3 8B	8B	INT4	26 tok/s	~5.0s
#185	OLMo 3 7B Think	7B	INT4	31 tok/s	~4.0s
#186	Qwen3.5-2B	2B	INT4 Q8 FP16	117 tok/s 79 tok/s 46 tok/s	~1.2s ~1.2s ~1.2s
#187	MiniCPM5-2B	2B	INT4 Q8 FP16	117 tok/s 79 tok/s 46 tok/s	~1.2s ~1.2s ~1.2s
#190	Gemma 4 E2B	5.1B	INT4 Q8	60 tok/s 35 tok/s	~2.7s ~3.0s
#193	Ministral 3 3B	3B	INT4 Q8	57 tok/s 43 tok/s	~1.7s ~1.7s
#194	DeepSeek-R1 8B	8B	INT4	43 tok/s	~4.2s
#195	Gemma 2 9B	9B	INT4	37 tok/s	~4.7s
#198	Qwen3-4B	4B	INT4 Q8	73 tok/s 45 tok/s	~2.2s ~2.2s
#200	Gemma 3 4B	4B	INT4 Q8	73 tok/s 45 tok/s	~2.2s ~2.2s
#201	Qwen2.5-7B	7B	INT4	46 tok/s	~3.7s
#202	Qwen3-8B	8B	INT4	41 tok/s	~4.2s
#203	DeepSeek-R1 7B	7B	INT4 Q8	48 tok/s 25 tok/s	~3.7s ~4.4s
#204	Llama 3.1 8B	8B	INT4	41 tok/s	~4.2s
#207	Llama 3 8B	8B	INT4	41 tok/s	~4.2s
#209	Qwen3-1.7B	1.7B	INT4 Q8 FP16	130 tok/s 89 tok/s 53 tok/s	~987 ms ~990 ms ~998 ms
#210	Gemma 3 270M	0.27B	INT4 Q8 FP16	246 tok/s 219 tok/s 172 tok/s	~158 ms ~158 ms ~159 ms
#211	Qwen3-0.6B	0.6B	INT4 Q8 FP16	226 tok/s 176 tok/s 119 tok/s	~348 ms ~349 ms ~352 ms
#212	Phi-4-Mini	3.8B	INT4 Q8	76 tok/s 47 tok/s	~2.1s ~2.1s
#213	Ministral-8B-2410	8B	INT4	41 tok/s	~4.2s
#215	DeepSeek-R1 1.5B	1.5B	INT4 Q8 FP16	141 tok/s 98 tok/s 59 tok/s	~873 ms ~876 ms ~883 ms
#216	Llama 3.2 3B	3B	INT4 Q8 FP16	90 tok/s 58 tok/s 31 tok/s	~1.7s ~1.7s ~1.8s
#217	Qwen3.5-0.8B	0.8B	INT4 Q8 FP16	198 tok/s 149 tok/s 96 tok/s	~470 ms ~472 ms ~475 ms
#218	Phi-3-mini	3.8B	INT4 Q8	76 tok/s 47 tok/s	~2.1s ~2.1s
#219	Gemma 3n E2B IT	6B (2B active)	INT4	54 tok/s	~1.3s
#220	Gemma 2 2B	2B	INT4 Q8 FP16	117 tok/s 79 tok/s 46 tok/s	~1.2s ~1.2s ~1.2s
#221	Mistral-7B-Instruct-v0.1	7.3B	INT4	45 tok/s	~3.9s
#223	Llama 3.2 1B	1B	INT4 Q8 FP16	175 tok/s 129 tok/s 81 tok/s	~597 ms ~599 ms ~604 ms
#225	OLMo 3 7B Instruct	7B	INT4	31 tok/s	~4.0s
#226	Qwen2-7B	7B	INT4	46 tok/s	~3.7s
#227	Phi-3-small	7B	INT4	46 tok/s	~3.7s
#228	Mistral-7B-Instruct-v0.2	7.3B	INT4	45 tok/s	~3.9s
#230	Gemma 3 1B	1B	INT4 Q8 FP16	175 tok/s 129 tok/s 81 tok/s	~597 ms ~599 ms ~604 ms
#231	Gemma 1 7B	7B	INT4	31 tok/s	~4.0s
#232	Gemma 1 2B	2B	INT4 Q8 FP16	127 tok/s 83 tok/s 47 tok/s	~1.2s ~1.2s ~1.2s
#233	ChatGLM3-6B	6B	INT4	34 tok/s	~3.5s
#234	ChatGLM2-6B	6B	INT4	34 tok/s	~3.5s
#235	ChatGLM-6B	6B	INT4	34 tok/s	~3.5s
Unranked Models (Sorted by Speed)
-	Qwen2-0.5B	0.5B	INT4 Q8 FP16	242 tok/s 194 tok/s 134 tok/s	~289 ms ~290 ms ~292 ms
-	Qwen2.5-0.5B	0.5B	INT4 Q8 FP16	242 tok/s 194 tok/s 134 tok/s	~289 ms ~290 ms ~292 ms
-	ERNIE-4.5-0.3B	0.3B	INT4 Q8 FP16	236 tok/s 208 tok/s 162 tok/s	~175 ms ~176 ms ~177 ms
-	ERNIE-4.5-0.3B-Base	0.3B	INT4 Q8 FP16	236 tok/s 208 tok/s 162 tok/s	~175 ms ~176 ms ~177 ms
-	Falcon-1B	1B	INT4 Q8 FP16	188 tok/s 135 tok/s 83 tok/s	~597 ms ~599 ms ~603 ms
-	Falcon3-1B	1B	INT4 Q8 FP16	175 tok/s 129 tok/s 81 tok/s	~597 ms ~599 ms ~604 ms
-	Qwen2-1.5B	1.5B	INT4 Q8 FP16	141 tok/s 98 tok/s 59 tok/s	~873 ms ~876 ms ~883 ms
-	Qwen2.5-1.5B	1.5B	INT4 Q8 FP16	141 tok/s 98 tok/s 59 tok/s	~873 ms ~876 ms ~883 ms
-	Spark X2.5 1.7B	1.7B	INT4 Q8 FP16	130 tok/s 89 tok/s 53 tok/s	~987 ms ~990 ms ~998 ms
-	Hy-MT2 1.8B	1.8B	INT4 Q8 FP16	126 tok/s 86 tok/s 50 tok/s	~1.0s ~1.0s ~1.1s
-	Falcon-3B	3B	INT4 Q8 FP16	96 tok/s 60 tok/s 31 tok/s	~1.7s ~1.7s ~1.8s
-	CroissantLLM Base	1.3B	INT4 Q8 FP16	94 tok/s 77 tok/s 53 tok/s	~765 ms ~767 ms ~773 ms
-	Phi-1	1.3B	INT4 Q8 FP16	94 tok/s 77 tok/s 53 tok/s	~765 ms ~767 ms ~773 ms
-	Phi-1.5	1.3B	INT4 Q8 FP16	94 tok/s 77 tok/s 53 tok/s	~765 ms ~767 ms ~773 ms
-	DeepSeek-R1 3B	3B	INT4 Q8 FP16	91 tok/s 58 tok/s 31 tok/s	~1.7s ~1.7s ~1.8s
-	Falcon3-3B	3B	INT4 Q8 FP16	90 tok/s 58 tok/s 31 tok/s	~1.7s ~1.7s ~1.8s
-	Qwen2.5-3B	3B	INT4 Q8 FP16	90 tok/s 58 tok/s 31 tok/s	~1.7s ~1.7s ~1.8s
-	FrogNano 4B	4B	INT4 Q8	73 tok/s 45 tok/s	~2.2s ~2.2s
-	Spark X2.5 4B	4B	INT4 Q8	73 tok/s 45 tok/s	~2.2s ~2.2s
-	EmbeddingGemma 2	2B	INT4 Q8 FP16	69 tok/s 55 tok/s 35 tok/s	~1.2s ~1.2s ~1.3s
-	Phi-2	2.7B	INT4 Q8 FP16	60 tok/s 46 tok/s 26 tok/s	~1.5s ~1.5s ~1.8s
-	MaLLaM-3B	3B	INT4 Q8	57 tok/s 43 tok/s	~1.7s ~1.7s
-	SmolLM3 3B	3B	INT4 Q8	57 tok/s 43 tok/s	~1.7s ~1.7s
-	Falcon-7B	7B	INT4 Q8	49 tok/s 26 tok/s	~3.7s ~4.4s
-	Falcon3-7B	7B	INT4	46 tok/s	~3.7s
-	Hy-MT2 7B	7B	INT4	46 tok/s	~3.7s
-	Mistral-7B-v0.1	7.3B	INT4	45 tok/s	~3.9s
-	LensVLM 9B	9B	INT4	37 tok/s	~4.7s
-	MiMo V2.6 Distill Qwen 9B	9B	INT4	37 tok/s	~4.7s
-	ChatGLM3-6B-32K	6B	INT4	34 tok/s	~3.5s
-	Yi-6B	6B	INT4	34 tok/s	~3.5s
-	Falcon3-10B	10B	INT4	32 tok/s	~5.7s
-	Falcon2-11B	11B	INT4	31 tok/s	~6.3s
-	Hunyuan Lite	7B	INT4	31 tok/s	~4.0s
-	OLMo 3 7B Base	7B	INT4	31 tok/s	~4.0s
-	SEA-LION-7B	7.1B	INT4	30 tok/s	~4.1s
-	SEA-LION-7B-Instruct	7.1B	INT4	30 tok/s	~4.1s
-	Sahabat-AI-Llama3-8B-Instruct	8B	INT4	26 tok/s	~5.0s
-	Typhoon-2-8B	8B	INT4	26 tok/s	~5.0s

AMD RX 6600 XT (8GB)

VRAM Scaling by Context Length

Best Models to Run on AMD RX 6600 XT (8GB)

Inference Capacity

Fine-Tuning Capacity

Workload Recommendations

Frequently Asked Questions