Best AI Models for AMD Radeon RX 6800M (12 GB)

Runs 7–9B models well; 14B only just fits.

12 GB GDDR6384 GB/s24 TFLOPS FP16145 WRDNA 2 2021

12 GB at 384 GB/s fits ~13-14B Q4 models, a decent laptop card for its time. Not on AMD's official ROCm list; the Vulkan backend (llama.cpp, LM Studio) is the easy path.

What LLMs can the RX 6800M run?

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 36.2 t/s	36.2 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 70.7 t/s	70.7 tok/s	Q4_K_M · 3.4 GB
3	Gemma 3 12B ITGoogle Q4_K_M · 10.9 GB · 28.7 t/s	28.7 tok/s	Q4_K_M · 10.9 GB
4	Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 37.8 t/s	37.8 tok/s	Q4_K_M · 7.3 GB
5	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 113 t/s	113 tok/s	Q4_K_M · 5.5 GB

#	Model	Speed	Coding Score	Quant · VRAM
1	Llama 3.1 8B InstructMetaHow to run → Q4_K_M · 7.9 GB · 43.5 t/s	43.5 tok/s		Q4_K_M · 7.9 GB
2	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 36.2 t/s	36.2 tok/s	overall	Q4_K_M · 6.6 GB
3	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 70.7 t/s	70.7 tok/s	overall	Q4_K_M · 3.4 GB
4	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 28.0 t/s	28.0 tok/s		Q4_K_M · 9.0 GB
5	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 113 t/s	113 tok/s		Q4_K_M · 5.5 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 36.2 t/s	36.2 tok/s	Q4_K_M · 6.6 GB
2	Qwen3 8BAlibaba Q4_K_M · 7.6 GB · 41.7 t/s	41.7 tok/s	Q4_K_M · 7.6 GB
3	Llama 3.1 8B InstructMeta Q4_K_M · 7.9 GB · 43.5 t/s	43.5 tok/s	Q4_K_M · 7.9 GB
4	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 81.1 t/s	81.1 tok/s	Q4_K_M · 5.0 GB
5	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 28.0 t/s	28.0 tok/s	Q4_K_M · 9.0 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 36.2 t/s	36.2 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 70.7 t/s	70.7 tok/s	Q4_K_M · 3.4 GB
3	Llama 3.1 8B InstructMeta Q4_K_M · 7.9 GB · 43.5 t/s	43.5 tok/s	Q4_K_M · 7.9 GB
4	Mistral Nemo Instruct 2407Mistral AI Q4_K_M · 11.0 GB · 28.6 t/s	28.6 tok/s	Q4_K_M · 11.0 GB
5	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 28.0 t/s	28.0 tok/s	Q4_K_M · 9.0 GB

#	Model	Speed ↓	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 70.7 t/s	70.7 tok/s	Q4_K_M · 3.4 GB
2	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 113 t/s	113 tok/s	Q4_K_M · 5.5 GB
3	Qwen3 8BAlibaba Q4_K_M · 7.6 GB · 41.7 t/s	41.7 tok/s	Q4_K_M · 7.6 GB
4	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 36.2 t/s	36.2 tok/s	Q4_K_M · 6.6 GB
5	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 28.0 t/s	28.0 tok/s	Q4_K_M · 9.0 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 36.2 t/s	36.2 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 70.7 t/s	70.7 tok/s	Q4_K_M · 3.4 GB
3	Gemma 3 12B ITGoogle Q4_K_M · 10.9 GB · 28.7 t/s	28.7 tok/s	Q4_K_M · 10.9 GB
4	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 81.1 t/s	81.1 tok/s	Q4_K_M · 5.0 GB
5	MiMo V2.6 Distill Qwen 9BXiaomi Q4_K_M · 6.5 GB · 37.1 t/s	37.1 tok/s	Q4_K_M · 6.5 GB

See all 278 models on the RX 6800M →Best quant that fits · speeds estimated on this card

About the RX 6800M

The RX 6800M runs 7–9B models well. RDNA 2 generation, released 2021.

GenerationRDNA 2released 2021

RX 6800M strengths and weaknesses

Strengths

Runs 14B models: Qwen3 14B at 24.3 tok/s in 11.9 GB
Low power draw: 145 W board power; a 300 W PSU is enough

Weaknesses

27–31B models don't fit: Qwen3.8 27B needs 17.9 GB at Q4 vs 12 GB here
Little room for context: Qwen3 14B uses 11.9 of 12 GB, 0.1 GB left
Slow prompt reading: A 4K-token prompt on Qwen3.5 9B waits 15.3 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 6800M, each with the one reason it is worth a look. Speeds on Qwen3.5 9B.

13% faster, same 12 GBRX 9070 GREAMD · 12 GB · RDNA 4

▲ 13% speedsame 12 GB$549

4 GB more and 67% fasterRX 9070AMD · 16 GB · RDNA 4

▲ 67% speed▲ 4 GB$800

4 GB more, but slowerRX 9060 XT 16GBAMD · 16 GB · RDNA 4

▼ 17% speed▲ 4 GB$590

42% faster, same 12 GBRTX 4070 SUPERNVIDIA · 12 GB · Ada Lovelace

▲ 42% speedsame 12 GB$599rent $0.12/hr

12 GB more and 2.5× the speedRX 7900 XTXAMD · 24 GB · RDNA 3

▲ 150% speed▲ 12 GB$999

12 GB more and 2.5× the speedRTX 5090 Laptop GPUNVIDIA · 24 GB · Blackwell

▲ 153% speed▲ 12 GB

RX 6800M tokens per second by model size

Output speed depends on memory bandwidth (384 GB/s). Grey rows need more than 12 GB.

9BQwen3.5 9B · Q4_K_M · 6.6 GB
36.2tok/s
14BQwen3 14B · Q4_K_M · 11.9 GB tight · Q4_K_M
24.3tok/s
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 278 models on the RX 6800M

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 6800M — ranked by Score, recency and Fit
Model	Quant	VRAM	Speed	Context	Fit
Starling LM 7B Beta7.2BChat Q4_K_M·46.9 t/s	Q4_K_M	5.7 GB48%	46.9 t/s	8K	A78, Runs well
Openchat 3.5 01067.2BChat Q4_K_M·46.9 t/s	Q4_K_M	5.7 GB48%	46.9 t/s	8K	A78, Runs well
Granite 4.0 Micro3.4BChatFunctions Q4_K_M·91.8 t/s	Q4_K_M	3.7 GB31%	91.8 t/s	131K	S90, Runs great
Qwen3 VL 4B Thinking4.4BVisionFunctions Q4_K_M·73.1 t/s	Q4_K_M	4.5 GB37%	73.1 t/s	262K	S86, Runs great
Nanonets OCR S3.8BVision Q4_K_M·87.6 t/s	Q4_K_M	3.2 GB26%	87.6 t/s	128K	S89, Runs great
Yi Coder 9B Chat8.8BChatCode Q4_K_M·39.7 t/s	Q4_K_M	7.2 GB60%	39.7 t/s	131K	A75, Runs well
Ornith 1.0 35B35.1BChatFunctions IQ2_S·74.2 t/s	IQ2_S	11.4 GB95%	74.2 t/s	262K	B62, Decent
Phi 4 Reasoning14.7BChatMathCodeReasoning Q4_K_S·25.7 t/s	Q4_K_S	11.9 GB99%	25.7 t/s	33K	C36, Usable
Qwen2.5 Omni 7B10.7BChat Q4_K_M·32.5 t/s	Q4_K_M	9.9 GB82%	32.5 t/s	—	A70, Runs well
Qwen2.5 7B Instruct7.6BChatFunctions Q4_K_M·46.2 t/s	Q4_K_M	5.8 GB48%	46.2 t/s	33K	A78, Runs well
Mellum2 12B A2.5B Thinking12.1BChatFunctions Q4_K_M·81.5 t/s	Q4_K_M	7.8 GB65%	81.5 t/s	131K	S88, Runs great
MiniCPM V 4 58.7BVisionFunctions Q4_K_M·39.6 t/s	Q4_K_M	7.9 GB66%	39.6 t/s	41K	A75, Runs well
Clef27.4BVisionFunctions IQ2_M·23.1 t/s	IQ2_M	10.4 GB87%	23.1 t/s	262K	B55, Decent
Ornith 1.5 35B A3B36.0BChatFunctions IQ2_S·68.2 t/s	IQ2_S	11.7 GB98%	68.2 t/s	262K	C44, Usable
Gemma 4 E2B5.1BChat Q4_K_M·67.2 t/s	Q4_K_M	3.5 GB29%	67.2 t/s	131K	S85, Runs great

RX 6800M specs, power and PSU

Specs

Architecture: RDNA 2
VRAM: 12 GB GDDR6
Memory bandwidth: 384.0 GB/s
FP16 (dense): 23.55 TFLOPS
Stream processors: 2,560
TDP: 145 W
Released: 2021-05-31

RX 6800M FAQ

What is the largest model the RX 6800M can run?

GPT OSS 20B (20.9B) is the largest at 4-bit or better: at IQ4_XS it uses 11.8 GB of 12 GB, and runs at about 67.1 tok/s.

Can the RX 6800M run Qwen3.5 9B?

Yes. Qwen3.5 9B fits at Q4_K_M, using 6.6 GB of 12 GB, and it is the best model that runs well on this card.

Can the RX 6800M run 27–31B models?

No. Qwen3.8 27B needs 17.9 GB at Q4, more than the 12 GB on this card.

How many tokens per second does the RX 6800M give?

About 36.2 tok/s on Qwen3.5 9B at Q4_K_M, with the first token after 15.3 s on a 4K-token prompt.

What power supply does the RX 6800M need?

Plan a 300 W PSU (2× the 145 W TDP).

Is 12 GB enough for coding and agents?

Yes for coding: Llama 3.1 8B Instruct, the only coding-scored model that fits, runs at about 44 tok/s. For agents, not yet: no agent-scored model fits in less than 96 GB.

Is renting cheaper than buying an RX 6800M?

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

Best coding LLMs 12 GB VRAM 16 GB VRAM GPUs with 12 GB or more RTX 3090 Ti RTX 4090