NVIDIA · Blackwell · 12 GB VRAM tier

Best AI Models for NVIDIA RTX PRO 3000 Blackwell Generation Laptop GPU (12 GB)

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

12 GB GDDR7672 GB/s124 TFLOPS FP16140 WBlackwell 2025

12 GB at 672 GB/s with ECC: ~13-14B Q4 models, decodes fast for a 12 GB card.

What LLMs can the RTX PRO 3000 Blackwell Generation Laptop GPU run?

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 68.7 t/s	68.7 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 134 t/s	134 tok/s	Q4_K_M · 3.4 GB
3	Gemma 3 12B ITGoogle Q4_K_M · 10.9 GB · 54.3 t/s	54.3 tok/s	Q4_K_M · 10.9 GB
4	Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 71.6 t/s	71.6 tok/s	Q4_K_M · 7.3 GB
5	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 289 t/s	289 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 · 82.4 t/s	82.4 tok/s		Q4_K_M · 7.9 GB
2	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 68.7 t/s	68.7 tok/s	overall	Q4_K_M · 6.6 GB
3	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 134 t/s	134 tok/s	overall	Q4_K_M · 3.4 GB
4	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 53.1 t/s	53.1 tok/s		Q4_K_M · 9.0 GB
5	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 289 t/s	289 tok/s		Q4_K_M · 5.5 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 68.7 t/s	68.7 tok/s	Q4_K_M · 6.6 GB
2	Qwen3 8BAlibaba Q4_K_M · 7.6 GB · 79.1 t/s	79.1 tok/s	Q4_K_M · 7.6 GB
3	Llama 3.1 8B InstructMeta Q4_K_M · 7.9 GB · 82.4 t/s	82.4 tok/s	Q4_K_M · 7.9 GB
4	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 154 t/s	154 tok/s	Q4_K_M · 5.0 GB
5	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 53.1 t/s	53.1 tok/s	Q4_K_M · 9.0 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 68.7 t/s	68.7 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 134 t/s	134 tok/s	Q4_K_M · 3.4 GB
3	Llama 3.1 8B InstructMeta Q4_K_M · 7.9 GB · 82.4 t/s	82.4 tok/s	Q4_K_M · 7.9 GB
4	Mistral Nemo Instruct 2407Mistral AI Q4_K_M · 11.0 GB · 54.1 t/s	54.1 tok/s	Q4_K_M · 11.0 GB
5	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 53.1 t/s	53.1 tok/s	Q4_K_M · 9.0 GB

#	Model	Speed ↓	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 134 t/s	134 tok/s	Q4_K_M · 3.4 GB
2	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 289 t/s	289 tok/s	Q4_K_M · 5.5 GB
3	Qwen3 8BAlibaba Q4_K_M · 7.6 GB · 79.1 t/s	79.1 tok/s	Q4_K_M · 7.6 GB
4	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 68.7 t/s	68.7 tok/s	Q4_K_M · 6.6 GB
5	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 53.1 t/s	53.1 tok/s	Q4_K_M · 9.0 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 68.7 t/s	68.7 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 134 t/s	134 tok/s	Q4_K_M · 3.4 GB
3	Gemma 3 12B ITGoogle Q4_K_M · 10.9 GB · 54.3 t/s	54.3 tok/s	Q4_K_M · 10.9 GB
4	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 154 t/s	154 tok/s	Q4_K_M · 5.0 GB
5	MiMo V2.6 Distill Qwen 9BXiaomi Q4_K_M · 6.5 GB · 70.3 t/s	70.3 tok/s	Q4_K_M · 6.5 GB

See all 278 models on the RTX PRO 3000 Blackwell Generation Laptop GPU →Best quant that fits · speeds estimated on this card

About the RTX PRO 3000 Blackwell Generation Laptop GPU

The RTX PRO 3000 Blackwell Generation Laptop GPU runs 7–9B models well. Blackwell generation, released 2025.

GenerationBlackwellreleased 2025

RTX PRO 3000 Blackwell Generation Laptop GPU strengths and weaknesses

Strengths

Runs 14B models: Qwen3 14B at 46.0 tok/s in 11.9 GB
Reads long prompts fast: A 4K-token prompt on Qwen3.5 9B starts answering in 1.4 s
Low power draw: 140 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

RTX PRO 3000 Blackwell Generation Laptop GPU tokens per second by model size

Output speed depends on memory bandwidth (672 GB/s). Grey rows need more than 12 GB.

9BQwen3.5 9B · Q4_K_M · 6.6 GB
68.7tok/s
14BQwen3 14B · Q4_K_M · 11.9 GB tight · Q4_K_M
46.0tok/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 977 models on the RTX PRO 3000 Blackwell Generation Laptop GPU

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 NVIDIA RTX PRO 3000 Blackwell Generation Laptop GPU — ranked by Score, recency and Fit
Model	Quant	VRAM	Speed	Context	Fit
Qwen3.5 9B Abliterated9.0BChatFunctions Q4_K_M·73.5 t/s	Q4_K_M	6.2 GB52%	73.5 t/s	262K	S86, Runs great
Supergemma4 E4b Abliterated7.5BChat Q4_K_M·86.8 t/s	Q4_K_M	5.3 GB44%	86.8 t/s	131K	S89, Runs great
Kimi VL A3B Instruct16.4BVisionFunctions Q4_K_M·154.8 t/s	Q4_K_M	10.7 GB89%	154.8 t/s	131K	S85, Runs great
Qwen3 4B Hindi Instruct v24.0BChat Q4_K_M·150.6 t/s	Q4_K_M	4.2 GB35%	150.6 t/s	262K	S97, Runs great
Functiongemma 270M IT268MChat BF16·740.3 t/s	BF16	1.6 GB13%	740.3 t/s	—	S100, Runs great
Nafie 473M473MChat BF16·420.0 t/s	BF16	1.0 GB9%	420.0 t/s	1K	S100, Runs great
Sweep Next Edit v2 7B7.6BChatCode Q4_K_M·87.5 t/s	Q4_K_M	5.8 GB48%	87.5 t/s	33K	S89, Runs great
Josiefied Qwen3.5 0.8B Gabliterated V1853MChat BF16·212.0 t/s	BF16	2.1 GB18%	212.0 t/s	262K	S100, Runs great
StorySupra 10M13MChat Q4_K_M·1365.0 t/s	Q4_K_M	0.3 GB3%	1365.0 t/s	0K	S100, Runs great
Qwen3 Next Moe3MChatFunctions Q4_K_M·1456.0 t/s	Q4_K_M	0.3 GB3%	1456.0 t/s	262K	S100, Runs great
PicoMistral 23M24MChat Q4_K_M·1365.0 t/s	Q4_K_M	0.3 GB3%	1365.0 t/s	1K	S100, Runs great
Jan V3.5 4B4.4BChatMath Q4_K_M·139.1 t/s	Q4_K_M	4.5 GB37%	139.1 t/s	262K	S96, Runs great
Supra Mini V6 1M1MChat Q4_K_M·1456.0 t/s	Q4_K_M	0.3 GB3%	1456.0 t/s	1K	S100, Runs great
LFM2.5 1.2B Instruct Uncensored1.2BChat Q4_K_M·408.2 t/s	Q4_K_M	1.2 GB10%	408.2 t/s	128K	S100, Runs great
Qwen3.5 35B A3B DFlash474MChat BF16·343.9 t/s	BF16	1.4 GB12%	343.9 t/s	262K	S100, Runs great

RTX PRO 3000 Blackwell Generation Laptop GPU specs, power and PSU

Specs

Architecture: Blackwell
VRAM: 12 GB GDDR7
Memory bandwidth: 672.0 GB/s
FP16 (dense): 124.00 TFLOPS
CUDA cores: 5,888
Tensor cores: 184
Compute capability: 12.0
TDP: 140 W
Released: 2025-03-18

RTX PRO 3000 Blackwell Generation Laptop GPU FAQ

What is the largest model the RTX PRO 3000 Blackwell Generation Laptop GPU 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 150 tok/s.

Can the RTX PRO 3000 Blackwell Generation Laptop GPU 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 RTX PRO 3000 Blackwell Generation Laptop GPU 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 RTX PRO 3000 Blackwell Generation Laptop GPU give?

About 68.7 tok/s on Qwen3.5 9B at Q4_K_M, with the first token after 1.4 s on a 4K-token prompt.

What power supply does the RTX PRO 3000 Blackwell Generation Laptop GPU need?

Plan a 300 W PSU (2× the 140 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 82 tok/s. For agents, not yet: no agent-scored model fits in less than 96 GB.

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