Best AI Models for AMD Radeon RX 6600M (8 GB)

Runs 7–9B models well; 14B doesn't fit in 8 GB.

8 GB GDDR6224 GB/s18 TFLOPS FP16100 WRDNA 2 2021

8 GB at 224 GB/s: ~7-8B Q4 models, no more. Not on AMD's official ROCm list; the Vulkan backend (llama.cpp, LM Studio) is the easy path.

What LLMs can the RX 6600M run?

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 21.1 t/s	21.1 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 41.2 t/s	41.2 tok/s	Q4_K_M · 3.4 GB
3	Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 22.0 t/s	22.0 tok/s	Q4_K_M · 7.3 GB
4	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 47.3 t/s	47.3 tok/s	Q4_K_M · 5.0 GB
5	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 85.1 t/s	85.1 tok/s	Q4_K_M · 5.5 GB

#	Model	Speed	Reasoning Score	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 21.1 t/s	21.1 tok/s		Q4_K_M · 6.6 GB
2	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 47.3 t/s	47.3 tok/s		Q4_K_M · 5.0 GB
3	Qwen2.5 7B InstructAlibaba Q4_K_M · 5.8 GB · 26.9 t/s	26.9 tok/s		Q4_K_M · 5.8 GB
4	Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 22.0 t/s	22.0 tok/s	overall	Q4_K_M · 7.3 GB
5	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 85.1 t/s	85.1 tok/s		Q4_K_M · 5.5 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 41.2 t/s	41.2 tok/s	Q4_K_M · 3.4 GB
2	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 21.1 t/s	21.1 tok/s	Q4_K_M · 6.6 GB
3	Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 25.3 t/s	25.3 tok/s	Q4_K_M · 5.6 GB
4	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 85.1 t/s	85.1 tok/s	Q4_K_M · 5.5 GB
5	MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 70.7 t/s	70.7 tok/s	Q4_K_M · 2.5 GB

#	Model	Speed ↓	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 41.2 t/s	41.2 tok/s	Q4_K_M · 3.4 GB
2	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 85.1 t/s	85.1 tok/s	Q4_K_M · 5.5 GB
3	MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 70.7 t/s	70.7 tok/s	Q4_K_M · 2.5 GB
4	Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 25.3 t/s	25.3 tok/s	Q4_K_M · 5.6 GB
5	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 21.1 t/s	21.1 tok/s	Q4_K_M · 6.6 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 21.1 t/s	21.1 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 41.2 t/s	41.2 tok/s	Q4_K_M · 3.4 GB
3	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 47.3 t/s	47.3 tok/s	Q4_K_M · 5.0 GB
4	MiMo V2.6 Distill Qwen 9BXiaomi Q4_K_M · 6.5 GB · 21.6 t/s	21.6 tok/s	Q4_K_M · 6.5 GB
5	MiniCPM V 4.7 1BOpenBMB Q4_K_M · 1.6 GB · 105 t/s	105 tok/s	Q4_K_M · 1.6 GB

See all 218 models on the RX 6600M →Best quant that fits · speeds estimated on this card

About the RX 6600M

The RX 6600M runs 7–9B models well. RDNA 2 generation, released 2021.

GenerationRDNA 2released 2021

RX 6600M strengths and weaknesses

Strengths

Runs 7–9B models: Qwen3.5 9B at 21.1 tok/s in 6.6 GB
Low power draw: 100 W board power; a 200 W PSU is enough

Weaknesses

14B models don't fit: Qwen3 14B needs 11.9 GB at Q4 vs 8 GB here
Little room for context: Qwen3.5 9B uses 6.6 of 8 GB, 1.4 GB left
Slow prompt reading: A 4K-token prompt on Qwen3.5 9B waits 20.5 s for the first token
ROCm, not CUDA: No FP8 weights; MXFP4 only through llama.cpp, not vLLM

Similar GPUs

Cards people weigh against the RX 6600M, each with the one reason it is worth a look. Speeds on Qwen3.5 9B.

39% faster, same 8 GBRTX 4060 Ti 8GBNVIDIA · 8 GB · Ada Lovelace

▲ 39% speedsame 8 GB$399rent $0.15/hr

4 GB more and 74% fasterRTX 3060 12GBNVIDIA · 12 GB · Ampere

▲ 74% speed▲ 4 GB$329rent $0.06/hr

4 GB more and nearly 2× the speedRX 9070 GREAMD · 12 GB · RDNA 4

▲ 93% speed▲ 4 GB$549

32% faster, same 8 GBRTX 4060NVIDIA · 8 GB · Ada Lovelace

▲ 32% speedsame 8 GB$520rent $0.08/hr

8 GB more and 3.5× the speedRTX 4080NVIDIA · 16 GB · Ada Lovelace

▲ 247% speed▲ 8 GB$1,199rent $0.24/hr

8 GB more and 3.6× the speedRTX 4080 SUPERNVIDIA · 16 GB · Ada Lovelace

▲ 256% speed▲ 8 GB$999rent $0.26/hr

RX 6600M tokens per second by model size

Output speed depends on memory bandwidth (224 GB/s). Grey rows need more than 8 GB.

9BQwen3.5 9B · Q4_K_M · 6.6 GB
21.1tok/s
14BQwen3 14B · not at 4-bit
needs 11.9 GB
27–31BQwen3.8 27B · not at 4-bit
needs 17.9 GB
35B MoEQwen3.6 35B A3B · not at 4-bit
needs 22.0 GB
70BLlama 3.3 70B Instruct · not at 4-bit
needs 51.3 GB
120B MoEGPT OSS 120B · not at 4-bit
needs 70.8 GB

Estimated speeds: Q4_K_M, 4K context, one user. How we estimate

All 842 models on the RX 6600M

Featured only

Best quant that fits, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works

LLM models compatible with AMD Radeon RX 6600M — ranked by Score, recency and Fit
Model	Quant	VRAM	Speed	Context	Fit
Gemma 3 4B Pt4.3BVision Q4_K_M·47.3 t/s	Q4_K_M	5 GB63%	47.3 t/s	—	A79, Runs well
MobileLLaMA 1.4B Chat1.4BChat Q4_K_M·87.3 t/s	Q4_K_M	1.5 GB19%	87.3 t/s	2K	S89, Runs great
Mamba 2.8B HF2.8BChat Q4_K_M·73.4 t/s	Q4_K_M	3.7 GB47%	73.4 t/s	—	S86, Runs great
Param 1 2.9B Instruct2.9BChat BF16·21.4 t/s	BF16	7.1 GB89%	21.4 t/s	8K	B49, Decent
Goedel Prover v2 8B8.2BChat Q4_K_M·24.3 t/s	Q4_K_M	7.6 GB95%	24.3 t/s	41K	C42, Usable
Nidum Gemma 2B Uncensored2.5BChat Q4_K_M·73.0 t/s	Q4_K_M	1.9 GB24%	73.0 t/s	8K	S86, Runs great
Codegen 350M Mono350MChatCode FP16·174.5 t/s	FP16	0.8 GB10%	174.5 t/s	2K	S98, Runs great
Phi 1 51.4BChatCode Q4_K_M·143.0 t/s	Q4_K_M	0.9 GB12%	143.0 t/s	2K	S96, Runs great
Gemma 4 E2B5.1BChat Q4_K_M·39.2 t/s	Q4_K_M	3.5 GB44%	39.2 t/s	131K	A75, Runs well
Qwen2.5 Coder 7B Instruct7.6BChatCodeFunctions Q4_K_M·26.9 t/s	Q4_K_M	5.8 GB73%	26.9 t/s	33K	A68, Runs well
SmolLM2 1.7B Instruct1.7BChat Q4_K_M·77.7 t/s	Q4_K_M	2.9 GB37%	77.7 t/s	8K	S87, Runs great
Phi 4 Mini Instruct3.8BChatCodeFunctions Q4_K_M·46.8 t/s	Q4_K_M	4.8 GB59%	46.8 t/s	131K	A78, Runs well
Idefics3 8B Llama38.5BVision Q4_K_M·23.8 t/s	Q4_K_M	7.5 GB94%	23.8 t/s	131K	C43, Usable
DeepSeek R1 Distill Qwen 7B7.6BChatReasoningFunctions Q4_K_M·26.9 t/s	Q4_K_M	5.8 GB73%	26.9 t/s	131K	A68, Runs well
Llama 3 ELYZA JP 8B8.0BChat Q4_K_M·24.9 t/s	Q4_K_M	6.2 GB78%	24.9 t/s	8K	A66, Runs well

RX 6600M specs, power and PSU

Specs

Architecture: RDNA 2
VRAM: 8 GB GDDR6
Memory bandwidth: 224.0 GB/s
FP16 (dense): 17.55 TFLOPS
Stream processors: 1,792
TDP: 100 W
Released: 2021-05-31

RX 6600M FAQ

What is the largest model the RX 6600M can run?

Qwen3.5 9B (9.7B) is the largest at 4-bit or better: at Q4_K_M it uses 6.6 GB of 8 GB, and runs at about 21.1 tok/s.

Can the RX 6600M run 14B models?

No. Qwen3 14B needs 11.9 GB at Q4, more than the 8 GB on this card.

How many tokens per second does the RX 6600M give?

About 21.1 tok/s on Qwen3.5 9B at Q4_K_M, with the first token after 20.5 s on a 4K-token prompt.

What power supply does the RX 6600M need?

Plan a 200 W PSU (2× the 100 W TDP).

Is renting cheaper than buying an RX 6600M?

An RTX 3090 (24 GB) rents from $0.18/hr. With regular daily use, owning pays off.

Best coding LLMs 8 GB VRAM 12 GB VRAM GPUs with 8 GB or more RTX 5080 RTX 3080 Ti