NVIDIA · Ada Lovelace · 12 GB VRAM tier

Best AI Models for NVIDIA RTX 4000 Ada Generation Laptop GPU (12 GB)

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

12 GB GDDR6432 GB/s135 TFLOPS FP16175 WAda Lovelace 2023

12 GB at 432 GB/s: ~13-14B Q4 models, with the memory ceiling set by 12 GB, not compute.

What LLMs can the RTX 4000 Ada Generation Laptop GPU run?

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 44.2 t/s	44.2 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 86.1 t/s	86.1 tok/s	Q4_K_M · 3.4 GB
3	Gemma 3 12B ITGoogle Q4_K_M · 10.9 GB · 34.9 t/s	34.9 tok/s	Q4_K_M · 10.9 GB
4	Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 46.0 t/s	46.0 tok/s	Q4_K_M · 7.3 GB
5	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 215 t/s	215 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 · 53.0 t/s	53.0 tok/s		Q4_K_M · 7.9 GB
2	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 44.2 t/s	44.2 tok/s	overall	Q4_K_M · 6.6 GB
3	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 86.1 t/s	86.1 tok/s	overall	Q4_K_M · 3.4 GB
4	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 34.1 t/s	34.1 tok/s		Q4_K_M · 9.0 GB
5	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 215 t/s	215 tok/s		Q4_K_M · 5.5 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 44.2 t/s	44.2 tok/s	Q4_K_M · 6.6 GB
2	Qwen3 8BAlibaba Q4_K_M · 7.6 GB · 50.9 t/s	50.9 tok/s	Q4_K_M · 7.6 GB
3	Llama 3.1 8B InstructMeta Q4_K_M · 7.9 GB · 53.0 t/s	53.0 tok/s	Q4_K_M · 7.9 GB
4	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 98.9 t/s	98.9 tok/s	Q4_K_M · 5.0 GB
5	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 34.1 t/s	34.1 tok/s	Q4_K_M · 9.0 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 44.2 t/s	44.2 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 86.1 t/s	86.1 tok/s	Q4_K_M · 3.4 GB
3	Llama 3.1 8B InstructMeta Q4_K_M · 7.9 GB · 53.0 t/s	53.0 tok/s	Q4_K_M · 7.9 GB
4	Mistral Nemo Instruct 2407Mistral AI Q4_K_M · 11.0 GB · 34.8 t/s	34.8 tok/s	Q4_K_M · 11.0 GB
5	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 34.1 t/s	34.1 tok/s	Q4_K_M · 9.0 GB

#	Model	Speed ↓	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 86.1 t/s	86.1 tok/s	Q4_K_M · 3.4 GB
2	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 215 t/s	215 tok/s	Q4_K_M · 5.5 GB
3	Qwen3 8BAlibaba Q4_K_M · 7.6 GB · 50.9 t/s	50.9 tok/s	Q4_K_M · 7.6 GB
4	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 44.2 t/s	44.2 tok/s	Q4_K_M · 6.6 GB
5	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 34.1 t/s	34.1 tok/s	Q4_K_M · 9.0 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 44.2 t/s	44.2 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 86.1 t/s	86.1 tok/s	Q4_K_M · 3.4 GB
3	Gemma 3 12B ITGoogle Q4_K_M · 10.9 GB · 34.9 t/s	34.9 tok/s	Q4_K_M · 10.9 GB
4	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 98.9 t/s	98.9 tok/s	Q4_K_M · 5.0 GB
5	MiMo V2.6 Distill Qwen 9BXiaomi Q4_K_M · 6.5 GB · 45.2 t/s	45.2 tok/s	Q4_K_M · 6.5 GB

See all 278 models on the RTX 4000 Ada Generation Laptop GPU →Best quant that fits · speeds estimated on this card

About the RTX 4000 Ada Generation Laptop GPU

The RTX 4000 Ada Generation Laptop GPU runs 7–9B models well. Ada Lovelace generation, released 2023.

GenerationAda Lovelacereleased 2023

RTX 4000 Ada Generation Laptop GPU strengths and weaknesses

Strengths

Runs 14B models: Qwen3 14B at 29.6 tok/s in 11.9 GB
Reads long prompts fast: A 4K-token prompt on Qwen3.5 9B starts answering in 1.3 s

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 4000 Ada Generation Laptop GPU tokens per second by model size

Output speed depends on memory bandwidth (432 GB/s). Grey rows need more than 12 GB.

9BQwen3.5 9B · Q4_K_M · 6.6 GB
44.2tok/s
14BQwen3 14B · Q4_K_M · 11.9 GB tight · Q4_K_M
29.6tok/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 RTX 4000 Ada 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 4000 Ada Generation Laptop GPU — ranked by Score, recency and Fit
Model	Quant	VRAM	Speed	Context	Fit
Apertus V1.5 8B8.9BVision Q4_K_M·47.8 t/s	Q4_K_M	8.5 GB71%	47.8 t/s	—	A79, Runs well
DeepSeek R1 0528 Qwen3 8B8.2BChatReasoningFunctions Q4_K_M·50.9 t/s	Q4_K_M	7.6 GB64%	50.9 t/s	131K	A80, Runs well
Granite Switch 4.1 8B8.8BChatFunctions Q4_K_M·47.4 t/s	Q4_K_M	8.4 GB70%	47.4 t/s	131K	A79, Runs well
GPT OSS 20B20.9BChatFunctions IQ4_XS·104.1 t/s	IQ4_XS	11.8 GB99%	104.1 t/s	131K	C44, Usable
Intern Decision 2B2.2BVisionFunctions Q4_K_M·162.3 t/s	Q4_K_M	1.8 GB15%	162.3 t/s	262K	S97, Runs great
LocateAnything 3B3.8BVisionFunctions Q4_K_M·105.2 t/s	Q4_K_M	3.2 GB27%	105.2 t/s	33K	S92, Runs great
Ornith 1.0 9B9.4BChatFunctions Q4_K_M·45.2 t/s	Q4_K_M	6.5 GB54%	45.2 t/s	262K	A77, Runs well
ZDTaichu5.0 9B9.8BVisionFunctions Q4_K_M·43.5 t/s	Q4_K_M	9.2 GB77%	43.5 t/s	—	A77, Runs well
Intern Decision 4B4.5BVisionFunctions Q4_K_M·88.0 t/s	Q4_K_M	3.4 GB28%	88.0 t/s	262K	S89, Runs great
ALoDLM 8B8.2BChatCodeFunctions Q4_K_M·50.9 t/s	Q4_K_M	7.6 GB64%	50.9 t/s	41K	A80, Runs well
LensVLM 9B9.4BVisionFunctions Q4_K_M·45.2 t/s	Q4_K_M	6.5 GB54%	45.2 t/s	262K	A77, Runs well
Olmo 3 7B Instruct7.3BChatFunctions Q4_K_M·48.8 t/s	Q4_K_M	8.4 GB70%	48.8 t/s	66K	A79, Runs well
Cosmos Reason2 8B8.8BVisionChatReasoningFunctions Q4_K_M·48.5 t/s	Q4_K_M	8.4 GB70%	48.5 t/s	—	A79, Runs well
Qwen3.5 0.8B873MVisionFunctions Q4_K_M·322.8 t/s	Q4_K_M	0.9 GB8%	322.8 t/s	262K	S100, Runs great
Tmax 9B9.0BChatFunctions Q4_K_M·47.3 t/s	Q4_K_M	6.2 GB52%	47.3 t/s	262K	A79, Runs well

RTX 4000 Ada Generation Laptop GPU specs, power and PSU

Specs

Architecture: Ada Lovelace
VRAM: 12 GB GDDR6
Memory bandwidth: 432.0 GB/s
FP16 (dense): 134.50 TFLOPS
CUDA cores: 7,424
Tensor cores: 232
Compute capability: 8.9
TDP: 175 W
Released: 2023-03-21

RTX 4000 Ada Generation Laptop GPU FAQ

What is the largest model the RTX 4000 Ada 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 104 tok/s.

Can the RTX 4000 Ada 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 4000 Ada 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 4000 Ada Generation Laptop GPU give?

About 44.2 tok/s on Qwen3.5 9B at Q4_K_M, with the first token after 1.3 s on a 4K-token prompt.

What power supply does the RTX 4000 Ada Generation Laptop GPU need?

Plan a 350 W PSU (2× the 175 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 53 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