Intel · Core Ultra 9 285H · Laptop

Best AI Models for Intel Core Ultra 9 285H (Arrow Lake) Laptop (32 GB)

Runs 35B MoE models well; 9B, 14B and 27–31B fit but are slow (9, 6 and 3 tok/s), and 70B doesn't fit in 24 GB.

32 GB unified24 GB for models119.5 GB/s39 TFLOPS FP1645 W2025

What LLMs can the Intel Core Ultra 9 285H (Arrow Lake) Laptop run?

#	Model	Speed	Quant · Memory
1	Qwen3.6 35B A3BAlibabaHow to run → Q4_K_M · 22.0 GB · 17.7 t/s	17.7 tok/s	Q4_K_M · 22.0 GB
2	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 19.2 t/s	19.2 tok/s	Q4_K_M · 16.5 GB
3	Qwen3 30B A3B Thinking 2507Alibaba Q4_K_M · 19.4 GB · 22.7 t/s	22.7 tok/s	Q4_K_M · 19.4 GB
4	GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 20.8 t/s	20.8 tok/s	Q4_K_M · 13.1 GB
5	NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA Q4_K_M · 19.3 GB · 28.9 t/s	28.9 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 · 17.7 t/s	17.7 tok/s		Q4_K_M · 22.0 GB
2	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 19.2 t/s	19.2 tok/s		Q4_K_M · 16.5 GB
3	GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 20.8 t/s	20.8 tok/s		Q4_K_M · 13.1 GB
4	Qwen3 30B A3B Thinking 2507Alibaba Q4_K_M · 19.4 GB · 22.7 t/s	22.7 tok/s	overall	Q4_K_M · 19.4 GB
5	NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA Q4_K_M · 19.3 GB · 28.9 t/s	28.9 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 · 19.2 t/s	19.2 tok/s	Q4_K_M · 16.5 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 18.3 t/s	18.3 tok/s	Q4_K_M · 3.4 GB
3	GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 20.8 t/s	20.8 tok/s	Q4_K_M · 13.1 GB
4	Qwen3.6 35B A3BAlibaba Q4_K_M · 22.0 GB · 17.7 t/s	17.7 tok/s	Q4_K_M · 22.0 GB
5	LFM2.5 24B A2BLiquid AI Q4_K_M · 15.0 GB · 29.9 t/s	29.9 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 · 22.7 t/s	22.7 tok/s	Q4_K_M · 19.4 GB
2	NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA Q4_K_M · 19.3 GB · 28.9 t/s	28.9 tok/s	Q4_K_M · 19.3 GB
3	Qwen3 30B A3B Instruct 2507Alibaba Q4_K_M · 19.4 GB · 22.7 t/s	22.7 tok/s	Q4_K_M · 19.4 GB
4	GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 20.8 t/s	20.8 tok/s	Q4_K_M · 13.1 GB
5	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 19.2 t/s	19.2 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 · 17.7 t/s	17.7 tok/s	Q4_K_M · 22.0 GB
2	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 19.2 t/s	19.2 tok/s	Q4_K_M · 16.5 GB
3	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 18.3 t/s	18.3 tok/s	Q4_K_M · 3.4 GB
4	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 21.0 t/s	21.0 tok/s	Q4_K_M · 5.0 GB
5	MiniCPM V 4.7 35B A3BOpenBMB Q4_K_M · 22.1 GB · 20.4 t/s	20.4 tok/s	Q4_K_M · 22.1 GB

See all 329 models on the Intel Core Ultra 9 285H (Arrow Lake) Laptop →Bars = traction for models without a Score yet

About the Intel Core Ultra 9 285H (Arrow Lake) Laptop

The Intel Core Ultra 9 285H (Arrow Lake) 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. With 39 TFLOPS it reads long prompts faster than most 32 GB machines: a 4K-token prompt takes 5.6 s. Core Ultra 9 285H, released 2025.

Speed in 32 GB#12120 GB/s

Prompt reading#339 TFLOPS

For models24 GBThe system keeps 8 GB

ChipCore Ultra 9 285Hreleased 2025

Intel Core Ultra 9 285H (Arrow Lake) Laptop strengths and weaknesses

Strengths

Runs 35B MoE models: Qwen3.6 35B A3B at 17.7 tok/s in 22 GB
Low power draw: 45 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 3.4 tok/s
Slow prompt reading: A 32K-token prompt on Qwen3.6 35B A3B waits 45.0 s for the first token
oneAPI, not CUDA: No FP8 or NVFP4 weights and no vLLM AWQ or GPTQ; use GGUF builds

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 A100 (80 GB) from $1.07/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.

162% faster, 3.5 GB less memoryMac Mini M4 Pro (24 GB)Apple · 20.5 GB for models · M4 Pro

▲ 162% speed▼ 3.5 GB$1,599

45% faster, 3.5 GB less memoryMacBook Air 13" M4 (24 GB)Apple · 20.5 GB for models · M4

▲ 45% speed▼ 3.5 GB$1,399

75% faster, 4.5 GB more memoryMac Mini M6 (32 GB)Apple · 28.5 GB for models · M6

▲ 75% speed▲ 4.5 GB$1,299

62% faster, 4.5 GB more memoryMacBook Pro 14 M5Apple · 28.5 GB for models · M5

▲ 62% speed▲ 4.5 GB$1,839

Reads prompts 11× faster, 24 GB for modelsRTX 4090NVIDIA · 24 GB VRAM · GPU

▲ 11× prompts▲ 753% speedsame memory$1,599rent $0.34/hr

Reads prompts 14× faster, 32 GB for modelsRTX 5090NVIDIA · 32 GB VRAM · GPU

▲ 14× prompts▲ 1105% speed▲ 8 GB$5,502rent $0.50/hr

Intel Core Ultra 9 285H (Arrow Lake) 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 slow
9.4tok/s
14BQwen3 14B · Q4_K_M · 11.9 GB slow
6.3tok/s
27–31BQwen3.8 27B · Q4_K_M · 17.9 GB slow
3.4tok/s
35B MoEQwen3.6 35B A3B · Q4_K_M · 22.0 GB
17.7tok/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
Ryzen 7 8845HS32 GB · 89.6 GB/s
16.2
8
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
Core Ultra 9 285H32 GB · 119.5 GB/s
17.7
39

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 1158 models on the Intel Core Ultra 9 285H (Arrow Lake) 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 Intel Core Ultra 9 285H (Arrow Lake) Laptop — ranked by Score, recency and Fit
Model	Quant	VRAM	Speed	Context	Fit
Phi 4 Mini Instruct3.8BChatCodeFunctions Q4_K_M·20.8 t/s	Q4_K_M	4.8 GB20%	20.8 t/s	131K	B61, Decent
SmolLM3 3B Base3.1BChat Q4_K_M·26.0 t/s	Q4_K_M	3.4 GB14%	26.0 t/s	66K	A66, Runs well
Gemma 3 4B Pt4.3BVision Q4_K_M·21.0 t/s	Q4_K_M	5 GB21%	21.0 t/s	—	B61, Decent
Tiny Starcoder Py164MChatCode Q4_K_M·543.2 t/s	Q4_K_M	0.5 GB2%	543.2 t/s	8K	S100, Runs great
Qwen3 Coder Next79.7BChatCodeFunctions IQ2_XXS·36.0 t/s	IQ2_XXS	22.4 GB93%	36.0 t/s	262K	B54, Decent
Qwen3.6 27B OBLITERATED26.9BChat Q4_K_M·3.5 t/s	Q4_K_M	17.3 GB72%	3.5 t/s	262K	C40, Usable
Lucie 7B6.7BChat Q4_K_M·13.0 t/s	Q4_K_M	6.5 GB27%	13.0 t/s	32K	B52, Decent
Qwen3 30B A3B Base30.5BChat Q4_K_M·22.7 t/s	Q4_K_M	19.4 GB81%	22.7 t/s	33K	B62, Decent
Pythia 6.9B7.0BChat Q4_K_M·13.0 t/s	Q4_K_M	4.6 GB19%	13.0 t/s	2K	B52, Decent
Gemma 3n E2B IT5.4BVision Q4_K_M·16.6 t/s	Q4_K_M	5.9 GB25%	16.6 t/s	—	B56, Decent
Llama 3 ELYZA JP 8B8.0BChat Q4_K_M·11.1 t/s	Q4_K_M	6.2 GB26%	11.1 t/s	8K	B49, Decent
Phi 4 Mini Reasoning3.8BChatMathCodeReasoningFunctions Q4_K_M·20.8 t/s	Q4_K_M	4.8 GB20%	20.8 t/s	131K	B61, Decent
Gemma 3 270M268MChat Q4_K_M·331.9 t/s	Q4_K_M	1.2 GB5%	331.9 t/s	—	S100, Runs great
Qwen3Guard Gen 8B8.2BChat Q4_K_M·10.8 t/s	Q4_K_M	7.6 GB32%	10.8 t/s	33K	B49, Decent
GigaChat3 10B A1.8B Base11.5BChat Q4_K_M·33.1 t/s	Q4_K_M	7.7 GB32%	33.1 t/s	262K	A72, Runs well

Intel Core Ultra 9 285H (Arrow Lake) Laptop specs and power

Specs

Chip: Core Ultra 9 285H · Intel Arc 140T
CPU cores: 16
GPU cores: 8
Unified memory: 32 GB LPDDR5X-7467 (soldered, 128-bit) in most thin-and-light builds
For models: 24 GB (The system keeps 8 GB)
Memory bandwidth: 119.5 GB/s
FP16 (dense): 38.5 TFLOPS
NPU: Intel AI Boost NPU 3 (13 TOPS)
Power: 45 W max
Released: 2025-01-06

Intel Core Ultra 9 285H (Arrow Lake) Laptop FAQ

How much memory is available for AI on the Intel Core Ultra 9 285H (Arrow Lake) 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 Intel Core Ultra 9 285H (Arrow Lake) 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 17.7 tok/s.

Can the Intel Core Ultra 9 285H (Arrow Lake) 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 Intel Core Ultra 9 285H (Arrow Lake) Laptop take to read a long prompt?

On Qwen3.6 35B A3B, about 5.6 s for a 4K-token prompt and 45 s for a 32K-token document before the first word appears.

Is renting a GPU cheaper than buying the Intel Core Ultra 9 285H (Arrow Lake) Laptop?

An RTX 5090 (32 GB) rents from $0.46/hr.

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