AMD · RDNA 4

Best AI Models for AMD Radeon AI PRO R9700 (32 GB)

Runs 27–31B and 35B MoE models well; 70B doesn't fit in 32 GB.

32 GB GDDR6640 GB/s191 TFLOPS FP16300 WRDNA 4 2025

What LLMs can the AI PRO R9700 run?

#	Model	Speed	Quant · VRAM
1	Qwen3.8 27BAlibabaHow to run → Q4_K_M · 17.9 GB · 22.0 t/s	22.0 tok/s	Q4_K_M · 17.9 GB
2	Qwen3.6 27BAlibaba Q4_K_M · 17.9 GB · 22.0 t/s	22.0 tok/s	Q4_K_M · 17.9 GB
3	Gemma 4 31B ITGoogle Q4_K_M · 21.7 GB · 18.8 t/s	18.8 tok/s	Q4_K_M · 21.7 GB
4	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 76.0 t/s	76.0 tok/s	Q4_K_M · 16.5 GB
5	NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA Q4_K_M · 19.3 GB · 70.6 t/s	70.6 tok/s	Q4_K_M · 19.3 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.8 27BAlibabaHow to run → Q4_K_M · 17.9 GB · 22.0 t/s	22.0 tok/s	Q4_K_M · 17.9 GB
2	Gemma 4 31B ITGoogle Q4_K_M · 21.7 GB · 18.8 t/s	18.8 tok/s	Q4_K_M · 21.7 GB
3	Qwen3.6 35B A3BAlibaba Q4_K_M · 22.0 GB · 64.3 t/s	64.3 tok/s	Q4_K_M · 22.0 GB
4	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 76.0 t/s	76.0 tok/s	Q4_K_M · 16.5 GB
5	NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA Q4_K_M · 19.3 GB · 70.6 t/s	70.6 tok/s	Q4_K_M · 19.3 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.8 27BAlibabaHow to run → Q4_K_M · 17.9 GB · 22.0 t/s	22.0 tok/s	Q4_K_M · 17.9 GB
2	Gemma 4 31B ITGoogle Q4_K_M · 21.7 GB · 18.8 t/s	18.8 tok/s	Q4_K_M · 21.7 GB
3	Qwen3.5 27BAlibaba Q4_K_M · 17.9 GB · 22.0 t/s	22.0 tok/s	Q4_K_M · 17.9 GB
4	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 76.0 t/s	76.0 tok/s	Q4_K_M · 16.5 GB
5	NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA Q4_K_M · 19.3 GB · 70.6 t/s	70.6 tok/s	Q4_K_M · 19.3 GB

#	Model	Speed	Math Score	Quant · VRAM
1	Qwen3.8 27BAlibabaHow to run → Q4_K_M · 17.9 GB · 22.0 t/s	22.0 tok/s		Q4_K_M · 17.9 GB
2	Qwen3.6 27BAlibaba Q4_K_M · 17.9 GB · 22.0 t/s	22.0 tok/s		Q4_K_M · 17.9 GB
3	Qwen3.6 35B A3BAlibaba Q4_K_M · 22.0 GB · 64.3 t/s	64.3 tok/s		Q4_K_M · 22.0 GB
4	Gemma 4 31B ITGoogle Q4_K_M · 21.7 GB · 18.8 t/s	18.8 tok/s	overall	Q4_K_M · 21.7 GB
5	NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA Q4_K_M · 19.3 GB · 70.6 t/s	70.6 tok/s		Q4_K_M · 19.3 GB

#	Model	Speed ↓	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 118 t/s	118 tok/s	Q4_K_M · 3.4 GB
2	GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 86.6 t/s	86.6 tok/s	Q4_K_M · 13.1 GB
3	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 76.0 t/s	76.0 tok/s	Q4_K_M · 16.5 GB
4	NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA Q4_K_M · 19.3 GB · 70.6 t/s	70.6 tok/s	Q4_K_M · 19.3 GB
5	Qwen3 30B A3B Thinking 2507Alibaba Q4_K_M · 19.4 GB · 66.9 t/s	66.9 tok/s	Q4_K_M · 19.4 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.8 27BAlibabaHow to run → Q4_K_M · 17.9 GB · 22.0 t/s	22.0 tok/s	Q4_K_M · 17.9 GB
2	Qwen3.6 27BAlibaba Q4_K_M · 17.9 GB · 22.0 t/s	22.0 tok/s	Q4_K_M · 17.9 GB
3	Gemma 4 31B ITGoogle Q4_K_M · 21.7 GB · 18.8 t/s	18.8 tok/s	Q4_K_M · 21.7 GB
4	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 76.0 t/s	76.0 tok/s	Q4_K_M · 16.5 GB
5	MiniCPM V 4.7 35B A3BOpenBMB Q4_K_M · 22.1 GB · 69.6 t/s	69.6 tok/s	Q4_K_M · 22.1 GB

See all 346 models on the AI PRO R9700 →Best quant that fits · speeds estimated on this card

About the AI PRO R9700

The AI PRO R9700 runs 27–31B and 35B MoE models well. RDNA 4 generation, released 2025.

GenerationRDNA 4released 2025

AI PRO R9700 strengths and weaknesses

Strengths

Runs 35B MoE models: Qwen3.6 35B A3B at 64.3 tok/s in 22 GB
Room for long context: Qwen3.8 27B at Q4 uses 17.9 GB, leaving 14.1 GB free

Weaknesses

70B models don't fit: Llama 3.3 70B Instruct needs 51.3 GB at Q4 vs 32 GB here
Slow prompt reading: A 4K-token prompt on Qwen3.8 27B waits 5.4 s for the first token
ROCm, not CUDA: No FP8 weights; MXFP4 only through llama.cpp, not vLLM

AI PRO R9700 tokens per second by model size

Output speed depends on memory bandwidth (640 GB/s). Grey rows need more than 32 GB.

9BQwen3.5 9B · Q4_K_M · 6.6 GB
60.4tok/s
14BQwen3 14B · Q4_K_M · 11.9 GB
40.4tok/s
27–31BQwen3.8 27B · Q4_K_M · 17.9 GB
22.0tok/s
35B MoEQwen3.6 35B A3B · Q4_K_M · 22.0 GB
64.3tok/s
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 1176 models on the AI PRO R9700

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 AI PRO R9700 — ranked by Score, recency and Fit
Model	Quant	VRAM	Speed	Context	Fit
Kumru 2B2.4BChat Q4_K_M·208.7 t/s	Q4_K_M	2.2 GB7%	208.7 t/s	8K	S100, Runs great
Jina Ocr V13.4BVision Q4_K_M·216.1 t/s	Q4_K_M	3.3 GB10%	216.1 t/s	33K	S100, Runs great
Qwen3.5 9B Gemini 3.1 Pro Reasoning Distill9.7BChatReasoning Q4_K_M·60.4 t/s	Q4_K_M	6.6 GB21%	60.4 t/s	262K	A84, Runs well
Granite 4.0 350M352MChatFunctions Q4_K_M·673.7 t/s	Q4_K_M	1.0 GB3%	673.7 t/s	33K	S100, Runs great
Hermes 4 14B14.8BChatReasoningRoleplayFunctions Q4_K_M·40.4 t/s	Q4_K_M	11.8 GB37%	40.4 t/s	41K	A75, Runs well
Qwen3 14B PARO1.6BChat Q4_K_M·244.6 t/s	Q4_K_M	3.9 GB12%	244.6 t/s	41K	S100, Runs great
Ethereal Stardust 12B12.2BChatRoleplay Q4_K_M·47.6 t/s	Q4_K_M	11.0 GB34%	47.6 t/s	131K	A79, Runs well
Gemma 3 270M IT Heretic268MChat Q4_K_M·800.0 t/s	Q4_K_M	0.5 GB2%	800.0 t/s	33K	S100, Runs great
Styx 12B12.2BChat Q4_K_M·47.6 t/s	Q4_K_M	11.0 GB34%	47.6 t/s	131K	A79, Runs well
Qwen3 30B A3B.w8a830.6BChatFunctions Q4_K_M·66.7 t/s	Q4_K_M	19.4 GB61%	66.7 t/s	41K	S85, Runs great
Qwen3 Omni 30B A3B Thinking31.7BChat Q4_K_M·57.5 t/s	Q4_K_M	24.7 GB77%	57.5 t/s	—	A82, Runs well
XiaoHong V18.2BChat Q4_K_M·69.6 t/s	Q4_K_M	7.6 GB24%	69.6 t/s	41K	S86, Runs great
Helium 1 2B2.0BChat Q4_K_M·219.4 t/s	Q4_K_M	2.0 GB6%	219.4 t/s	4K	S100, Runs great
Granite 4.1 8B8.8BChatFunctions Q4_K_M·65.0 t/s	Q4_K_M	8.3 GB26%	65.0 t/s	131K	A84, Runs well
Huihui Qwen3 8B Abliterated v28.2BChatFunctions Q4_K_M·69.6 t/s	Q4_K_M	7.6 GB24%	69.6 t/s	41K	S86, Runs great

AI PRO R9700 specs, power and PSU

Specs

Architecture: RDNA 4
VRAM: 32 GB GDDR6
Memory bandwidth: 640.0 GB/s
FP16 (dense): 191.40 TFLOPS
Stream processors: 4,096
TDP: 300 W
Released: 2025-07-23
MSRP: $1,299

AI PRO R9700 FAQ

What is the largest model the AI PRO R9700 can run?

Qwen3.6 35B A3B (36.0B) is the largest at 4-bit or better: at Q4_K_M it uses 22.0 GB of 32 GB, and runs at about 64.3 tok/s.

Can the AI PRO R9700 run Qwen3.8 27B?

Yes. Qwen3.8 27B fits at Q4_K_M, using 17.9 GB of 32 GB, and it is the best model that runs well on this card.

Can the AI PRO R9700 run 70B models?

No. Llama 3.3 70B Instruct needs 51.3 GB at Q4, more than the 32 GB on this card.

How many tokens per second does the AI PRO R9700 give?

About 22.0 tok/s on Qwen3.8 27B at Q4_K_M, with the first token after 5.4 s on a 4K-token prompt.

What power supply does the AI PRO R9700 need?

Plan a 600 W PSU (2× the 300 W TDP).

Is 32 GB enough for coding and agents?

Yes for coding: Qwen3.8 27B, the best of the 10 coding models that fit, runs at about 22 tok/s. For agents, not yet: no agent-scored model fits in less than 96 GB.

Best coding LLMs 24 GB VRAM 48 GB VRAM GPUs with 32 GB or more RTX 5090