AMD · Ryzen AI 9 HX 370 · Laptop

Best AI Models for AMD Ryzen AI 9 HX 370 (Strix Point) Laptop (32 GB)

Runs 35B MoE models well; 9B, 14B and 27–31B fit but are slow (11, 8 and 4 tok/s), and 70B doesn't fit in 24 GB.

32 GB unified24 GB for models120 GB/s12 TFLOPS FP1628 W2024

What LLMs can the AMD Ryzen AI 9 HX 370 (Strix Point) Laptop run?

#	Model	Speed	Quant · Memory
1	Qwen3.6 35B A3BAlibabaHow to run → Q4_K_M · 22.0 GB · 20.7 t/s	20.7 tok/s	Q4_K_M · 22.0 GB
2	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 22.6 t/s	22.6 tok/s	Q4_K_M · 16.5 GB
3	Qwen3 30B A3B Thinking 2507Alibaba Q4_K_M · 19.4 GB · 26.2 t/s	26.2 tok/s	Q4_K_M · 19.4 GB
4	GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 24.5 t/s	24.5 tok/s	Q4_K_M · 13.1 GB
5	NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA Q4_K_M · 19.3 GB · 32.8 t/s	32.8 tok/s	Q4_K_M · 19.3 GB

#	Model	Speed	Coding Score	Quant · Memory
1	Qwen3.6 35B A3BAlibabaHow to run → Q4_K_M · 22.0 GB · 20.7 t/s	20.7 tok/s		Q4_K_M · 22.0 GB
2	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 22.6 t/s	22.6 tok/s		Q4_K_M · 16.5 GB
3	GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 24.5 t/s	24.5 tok/s		Q4_K_M · 13.1 GB
4	Qwen3 30B A3B Thinking 2507Alibaba Q4_K_M · 19.4 GB · 26.2 t/s	26.2 tok/s	overall	Q4_K_M · 19.4 GB
5	NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA Q4_K_M · 19.3 GB · 32.8 t/s	32.8 tok/s		Q4_K_M · 19.3 GB

#	Model	Speed	Quant · Memory
1	Gemma 4 26B A4B ITGoogleHow to run → Q4_K_M · 16.5 GB · 22.6 t/s	22.6 tok/s	Q4_K_M · 16.5 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 22.1 t/s	22.1 tok/s	Q4_K_M · 3.4 GB
3	GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 24.5 t/s	24.5 tok/s	Q4_K_M · 13.1 GB
4	Qwen3.6 35B A3BAlibaba Q4_K_M · 22.0 GB · 20.7 t/s	20.7 tok/s	Q4_K_M · 22.0 GB
5	LFM2.5 24B A2BLiquid AI Q4_K_M · 15.0 GB · 34.3 t/s	34.3 tok/s	Q4_K_M · 15.0 GB

#	Model	Speed ↓	Quant · Memory
1	Qwen3 30B A3B Thinking 2507AlibabaHow to run → Q4_K_M · 19.4 GB · 26.2 t/s	26.2 tok/s	Q4_K_M · 19.4 GB
2	NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA Q4_K_M · 19.3 GB · 32.8 t/s	32.8 tok/s	Q4_K_M · 19.3 GB
3	Qwen3 30B A3B Instruct 2507Alibaba Q4_K_M · 19.4 GB · 26.2 t/s	26.2 tok/s	Q4_K_M · 19.4 GB
4	GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 24.5 t/s	24.5 tok/s	Q4_K_M · 13.1 GB
5	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 22.6 t/s	22.6 tok/s	Q4_K_M · 16.5 GB

#	Model	Speed	Quant · Memory
1	Qwen3.6 35B A3BAlibabaHow to run → Q4_K_M · 22.0 GB · 20.7 t/s	20.7 tok/s	Q4_K_M · 22.0 GB
2	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 22.6 t/s	22.6 tok/s	Q4_K_M · 16.5 GB
3	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 22.1 t/s	22.1 tok/s	Q4_K_M · 3.4 GB
4	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 25.4 t/s	25.4 tok/s	Q4_K_M · 5.0 GB
5	MiniCPM V 4.7 35B A3BOpenBMB Q4_K_M · 22.1 GB · 23.8 t/s	23.8 tok/s	Q4_K_M · 22.1 GB

See all 327 models on the AMD Ryzen AI 9 HX 370 (Strix Point) Laptop →Bars = traction for models without a Score yet

About the AMD Ryzen AI 9 HX 370 (Strix Point) Laptop

The AMD Ryzen AI 9 HX 370 (Strix Point) Laptop is a 32 GB laptop with more memory than speed: it runs 35B MoE models well. The system keeps about 8 GB, leaving 24 GB for models. Prompt reading is its weak spot: a 4K-token prompt waits 15 s before the first word on Qwen3.6 35B A3B. Ryzen AI 9 HX 370, released 2024.

Speed in 32 GB#9120 GB/s

Prompt reading#712 TFLOPS

For models24 GBThe system keeps 8 GB

ChipRyzen AI 9 HX 370released 2024

AMD Ryzen AI 9 HX 370 (Strix Point) Laptop strengths and weaknesses

Strengths

Runs 35B MoE models: Qwen3.6 35B A3B at 20.7 tok/s in 22 GB
Low power draw: 28 W at full load for the whole machine

Weaknesses

70B models don't fit: Llama 3.3 70B Instruct needs 51.3 GB at Q4 vs 24 GB usable here
Slow on large dense models: Qwen3.8 27B at 4.1 tok/s
Slow prompt reading: A 32K-token prompt on Qwen3.6 35B A3B waits 2.0 min for the first token
ROCm, not CUDA: No FP8 weights; MXFP4 only through llama.cpp, not vLLM

Memory for models

24 GB of 32 GB

9B6.6 GB14B11.9 GB27–31B17.9 GB35B MoE22 GB

9B6.6 GB14B11.9 GB35B MoE22 GB

For models 24 GBThe system keeps 8 GBModel size at Q4

70B models need 51.3 GB at Q4, more than the 24 GB available.Or rent an H100 (80 GB) from $2.20/hr →

Similar devices and alternatives

The same chip from other makers first, then machines and GPUs people weigh against it, each with the one reason it is worth a look. Speeds on Qwen3.6 35B A3B.

124% faster, 3.5 GB less memoryMac Mini M4 Pro (24 GB)Apple · 20.5 GB for models · M4 Pro

▲ 124% speed▼ 3.5 GB$1,599

24% faster, 3.5 GB less memoryMacBook Air 13" M4 (24 GB)Apple · 20.5 GB for models · M4

▲ 24% speed▼ 3.5 GB$1,399

38% faster, 4.5 GB more memoryMacBook Pro 14 M5Apple · 28.5 GB for models · M5

▲ 38% speed▲ 4.5 GB$1,839

167% faster, 8.5 GB more memoryMac Studio M4 Max (36 GB)Apple · 32.5 GB for models · M4 Max

▲ 167% speed▲ 8.5 GB$2,499

Reads prompts 28× faster, 24 GB for modelsRTX 4090NVIDIA · 24 GB VRAM · GPU

▲ 28× prompts▲ 630% speedsame memory$1,599rent $0.34/hr

Reads prompts 36× faster, 32 GB for modelsRTX 5090NVIDIA · 32 GB VRAM · GPU

▲ 36× prompts▲ 930% speed▲ 8 GB$5,376rent $0.50/hr

AMD Ryzen AI 9 HX 370 (Strix Point) Laptop tokens per second by model size

Output speed depends on memory bandwidth (120 GB/s). Grey rows need more than the 24 GB available.

9BQwen3.5 9B · Q4_K_M · 6.6 GB
11.3tok/s
14BQwen3 14B · Q4_K_M · 11.9 GB slow
7.6tok/s
27–31BQwen3.8 27B · Q4_K_M · 17.9 GB slow
4.1tok/s
35B MoEQwen3.6 35B A3B · Q4_K_M · 22.0 GB
20.7tok/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

Unified-memory platforms: writing vs compute

Writing, tok/sCompute, TFLOPS

M116 GB · 68.3 GB/s
24.9
5
M216 GB · 100 GB/s
33.4
7
Orin NX16 GB · 102.4 GB/s
37.0
15
M316 GB · 102.4 GB/s
34.0
7
Ryzen AI 9 HX 37032 GB · 120 GB/s
20.7
12
M416 GB · 120 GB/s
38.1
9

Machines with about the same memory bandwidth write at about the same speed; compute decides how fast prompts are read. Speeds on Qwen3.6 35B A3B.

All 1141 models on the AMD Ryzen AI 9 HX 370 (Strix Point) Laptop

Featured only

Best quant that fits in 24 GB, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works

LLM models compatible with AMD Ryzen AI 9 HX 370 (Strix Point) Laptop — ranked by Score, recency and Fit
Model	Quant	VRAM	Speed	Context	Fit
Cosmos Reason2 8B8.8BVisionChatReasoningFunctions Q4_K_M·12.4 t/s	Q4_K_M	8.4 GB35%	12.4 t/s	—	B51, Decent
Gemma 4 E4B IT Assistant4BChat Q4_K_M·26.7 t/s	Q4_K_M	2.7 GB11%	26.7 t/s	131K	A68, Runs well
K2 Horizon 7B Uno7BChat Q4_K_M·15.6 t/s	Q4_K_M	7.1 GB30%	15.6 t/s	—	B55, Decent
Tiny Random Gemma2ForCausalLM8MChat Q4_K_M·232.3 t/s	Q4_K_M	0.3 GB1%	232.3 t/s	8K	S100, Runs great
Olmo 3 32B Think32.2BChat Q4_K_M·3.6 t/s	Q4_K_M	21.5 GB90%	3.6 t/s	66K	D26, Barely runs
Small Qwen3ForCausalLM20MChatFunctions Q4_K_M·232.3 t/s	Q4_K_M	0.3 GB1%	232.3 t/s	41K	S100, Runs great
SmolLM2 70M69MChatCode Q4_K_M·189.5 t/s	Q4_K_M	0.5 GB2%	189.5 t/s	8K	S99, Runs great
Tiny Random LlamaForCausalLM1MChat Q4_K_M·240.0 t/s	Q4_K_M	0.3 GB1%	240.0 t/s	8K	S100, Runs great
K2 Horizon 7B9.0BChatFunctions Q4_K_M·12.0 t/s	Q4_K_M	8.1 GB34%	12.0 t/s	524K	B51, Decent
Qwen3.8 27B DFlash227BChat Q4_K_M·4.4 t/s	Q4_K_M	16.9 GB71%	4.4 t/s	262K	C41, Usable
GPT OSS 20B NPU220BChatFunctions Q4_K_M·30.3 t/s	Q4_K_M	12.6 GB52%	30.3 t/s	131K	A71, Runs well
Protgpt2 Distilled Tiny39MChat Q4_K_M·2400.0 t/s	Q4_K_M	0.0 GB0%	2400.0 t/s	1K	S100, Runs great
GPT OSS 20B RichardErkhov Heresy20.9BChatFunctions Q4_K_M·24.5 t/s	Q4_K_M	13.1 GB55%	24.5 t/s	131K	A65, Runs well
Recursive Language Model 198M198MChat BF16·163.6 t/s	BF16	0.4 GB2%	163.6 t/s	1K	S97, Runs great
JiRackUltra 7B7.6BChatFunctions Q4_K_M·14.4 t/s	Q4_K_M	5.8 GB24%	14.4 t/s	131K	B54, Decent

AMD Ryzen AI 9 HX 370 (Strix Point) Laptop specs and power

Specs

Chip: Ryzen AI 9 HX 370 · Radeon 890M
CPU cores: 12
GPU cores: 16
Unified memory: 32 GB LPDDR5X-7500 / DDR5-5600
For models: 24 GB (The system keeps 8 GB)
Memory bandwidth: 120 GB/s
FP16 (dense): 11.9 TFLOPS
NPU: XDNA 2 NPU (50 TOPS)
Power: 28 W max
Released: 2024-07-28

AMD Ryzen AI 9 HX 370 (Strix Point) Laptop FAQ

How much memory is available for AI on the AMD Ryzen AI 9 HX 370 (Strix Point) Laptop?

About 24 GB of the 32 GB. The system keeps roughly 8 GB for itself and other apps.

What is the largest model the AMD Ryzen AI 9 HX 370 (Strix Point) Laptop 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, 92% of the available memory, and runs at about 20.7 tok/s.

Can the AMD Ryzen AI 9 HX 370 (Strix Point) Laptop run 70B models?

No. Llama 3.3 70B Instruct needs 51.3 GB at Q4, more than the 24 GB available.

How long does the AMD Ryzen AI 9 HX 370 (Strix Point) Laptop take to read a long prompt?

On Qwen3.6 35B A3B, about 15 s for a 4K-token prompt and 2.0 min for a 32K-token document before the first word appears.

Is renting a GPU cheaper than buying the AMD Ryzen AI 9 HX 370 (Strix Point) Laptop?

An RTX 5090 (32 GB) rents from $0.50/hr.

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