NVIDIA · Ada Lovelace · 8 GB VRAM tier

Best AI Models for NVIDIA GeForce RTX 4060 Laptop GPU (8 GB)

Runs 7–9B models well; 14B doesn't fit in 8 GB.

8 GB GDDR6256 GB/s29 TFLOPS FP16115 WAda Lovelace 2023

8 GB on a 128-bit bus (256 GB/s): the practical ceiling is ~7-8B Q4 models. Speed varies with the chassis power limit.

What LLMs can the RTX 4060 Laptop GPU run?

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 26.2 t/s	26.2 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 51.0 t/s	51.0 tok/s	Q4_K_M · 3.4 GB
3	Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 27.3 t/s	27.3 tok/s	Q4_K_M · 7.3 GB
4	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 58.6 t/s	58.6 tok/s	Q4_K_M · 5.0 GB
5	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 144 t/s	144 tok/s	Q4_K_M · 5.5 GB

#	Model	Speed	Reasoning Score	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 26.2 t/s	26.2 tok/s		Q4_K_M · 6.6 GB
2	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 58.6 t/s	58.6 tok/s		Q4_K_M · 5.0 GB
3	Qwen2.5 7B InstructAlibaba Q4_K_M · 5.8 GB · 33.3 t/s	33.3 tok/s		Q4_K_M · 5.8 GB
4	Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 27.3 t/s	27.3 tok/s	overall	Q4_K_M · 7.3 GB
5	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 144 t/s	144 tok/s		Q4_K_M · 5.5 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 51.0 t/s	51.0 tok/s	Q4_K_M · 3.4 GB
2	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 26.2 t/s	26.2 tok/s	Q4_K_M · 6.6 GB
3	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 144 t/s	144 tok/s	Q4_K_M · 5.5 GB
4	Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 31.3 t/s	31.3 tok/s	Q4_K_M · 5.6 GB
5	Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 56.2 t/s	56.2 tok/s	Q4_K_M · 4.3 GB

#	Model	Speed ↓	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 51.0 t/s	51.0 tok/s	Q4_K_M · 3.4 GB
2	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 144 t/s	144 tok/s	Q4_K_M · 5.5 GB
3	Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 31.3 t/s	31.3 tok/s	Q4_K_M · 5.6 GB
4	MiMo V2.6 Distill Qwen 9BXiaomi Q4_K_M · 6.5 GB · 26.8 t/s	26.8 tok/s	Q4_K_M · 6.5 GB
5	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 26.2 t/s	26.2 tok/s	Q4_K_M · 6.6 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 26.2 t/s	26.2 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 51.0 t/s	51.0 tok/s	Q4_K_M · 3.4 GB
3	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 58.6 t/s	58.6 tok/s	Q4_K_M · 5.0 GB
4	MiMo V2.6 Distill Qwen 9BXiaomi Q4_K_M · 6.5 GB · 26.8 t/s	26.8 tok/s	Q4_K_M · 6.5 GB
5	MiniCPM V 4.7 1BOpenBMB Q4_K_M · 1.6 GB · 130 t/s	130 tok/s	Q4_K_M · 1.6 GB

See all 218 models on the RTX 4060 Laptop GPU →Best quant that fits · speeds estimated on this card

About the RTX 4060 Laptop GPU

The RTX 4060 Laptop GPU runs 7–9B models well. Ada Lovelace generation, released 2023.

GenerationAda Lovelacereleased 2023

RTX 4060 Laptop GPU strengths and weaknesses

Strengths

Runs 7–9B models: Qwen3.5 9B at 26.2 tok/s in 6.6 GB
Low power draw: 115 W board power; a 250 W PSU is enough

Weaknesses

14B models don't fit: Qwen3 14B needs 11.9 GB at Q4 vs 8 GB here
Little room for context: Qwen3.5 9B uses 6.6 of 8 GB, 1.4 GB left
Slow prompt reading: A 4K-token prompt on Qwen3.5 9B waits 6.0 s for the first token

Similar GPUs

Cards people weigh against the RTX 4060 Laptop GPU, each with the one reason it is worth a look.

About as fast, same 8 GBRTX 5050NVIDIA · 8 GB · Blackwell

same 8 GB$41032.7 tok/s

8 GB more for bigger modelsRTX 4080NVIDIA · 16 GB · Ada Lovelace

▲ 8 GB$1,199rent $0.26/hr73.3 tok/s

8 GB more for bigger modelsRTX 4080 SUPERNVIDIA · 16 GB · Ada Lovelace

▲ 8 GB$999rent $0.26/hr75.2 tok/s

2 GB more for bigger modelsRTX 3080NVIDIA · 10 GB · Ampere

▲ 2 GB$699rent $0.11/hr77.7 tok/s

8 GB more for bigger modelsRTX 5080 Laptop GPUNVIDIA · 16 GB · Blackwell

▲ 8 GB91.6 tok/s

Best value near the RTX 4060 Laptop GPURTX 5070 TiNVIDIA · 16 GB · Blackwell

▲ 8 GB$1,170rent $0.16/hr91.6 tok/s

RTX 4060 Laptop GPU tokens per second by model size

Output speed depends on memory bandwidth (256 GB/s). Grey rows need more than 8 GB.

9BQwen3.5 9B · Q4_K_M · 6.6 GB
26.2tok/s
14BQwen3 14B · not at 4-bit
needs 11.9 GB
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 218 models on the RTX 4060 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 GeForce RTX 4060 Laptop GPU — ranked by Score, recency and Fit
Model	Quant	VRAM	Speed	Context	Fit
Falcon H1 7B Instruct7.6BChatFunctions Q4_K_M·33.0 t/s	Q4_K_M	6.3 GB79%	33.0 t/s	262K	A72, Runs well
Molmo2 8B8.7BVision Q4_K_M·28.7 t/s	Q4_K_M	7.9 GB99%	28.7 t/s	37K	C40, Usable
Qwen3 4B Instruct 25074.0BChatFunctions Q4_K_M·57.4 t/s	Q4_K_M	4.2 GB53%	57.4 t/s	262K	A82, Runs well
Jina Ocr V13.4BVision Q4_K_M·172.4 t/s	Q4_K_M	3.3 GB42%	172.4 t/s	33K	S98, Runs great
MiniCPM O 4 59.4BChatFunctions Q4_K_S·28.3 t/s	Q4_K_S	8.0 GB100%	28.3 t/s	41K	C37, Usable
Granite 4.0 1B1.6BChatFunctions Q4_K_M·114.8 t/s	Q4_K_M	2.6 GB33%	114.8 t/s	131K	S94, Runs great
LightOnOCR 3 1B1.0BVision Q4_K_M·163.1 t/s	Q4_K_M	1.8 GB23%	163.1 t/s	16K	S97, Runs great
Qwen3.5 4B Base4.7BVision Q4_K_M·51.0 t/s	Q4_K_M	3.4 GB43%	51.0 t/s	262K	A80, Runs well
InternVL2 2B2.2BVision Q4_K_M·114.0 t/s	Q4_K_M	3.3 GB41%	114.0 t/s	—	S94, Runs great
AesCode 8B8.8BVisionCodeFunctions Q4_K_M·28.4 t/s	Q4_K_M	8.0 GB100%	28.4 t/s	262K	C37, Usable
Granite 4.0 350M352MChatFunctions Q4_K_M·291.9 t/s	Q4_K_M	1.0 GB12%	291.9 t/s	33K	S100, Runs great
HunyuanOCR1.1BVision Q4_K_M·155.5 t/s	Q4_K_M	1.8 GB22%	155.5 t/s	131K	S97, Runs great
LightOnOCR 3 4B4.5BVisionFunctions Q4_K_M·52.2 t/s	Q4_K_M	3.4 GB42%	52.2 t/s	262K	A81, Runs well
Apertus V1.5 8B8.9BVision Q3_K_M·34.9 t/s	Q3_K_M	7.4 GB93%	34.9 t/s	—	B53, Decent
Medgemma 1.5 4B IT4.3BVision Q4_K_M·58.6 t/s	Q4_K_M	5 GB63%	58.6 t/s	—	A83, Runs well

RTX 4060 Laptop GPU specs, power and PSU

Specs

Architecture: Ada Lovelace
VRAM: 8 GB GDDR6
Memory bandwidth: 256.0 GB/s
FP16 (dense): 29.12 TFLOPS
CUDA cores: 3,072
Tensor cores: 96
Compute capability: 8.9
TDP: 115 W
Released: 2023-02-22

RTX 4060 Laptop GPU FAQ

What is the largest model the RTX 4060 Laptop GPU can run?

Qwen3.5 9B (9.7B) is the largest at 4-bit or better: at Q4_K_M it uses 6.6 GB of 8 GB, and runs at about 26.2 tok/s.

Can the RTX 4060 Laptop GPU run 14B models?

No. Qwen3 14B needs 11.9 GB at Q4, more than the 8 GB on this card.

How many tokens per second does the RTX 4060 Laptop GPU give?

About 26.2 tok/s on Qwen3.5 9B at Q4_K_M, with the first token after 6.0 s on a 4K-token prompt.

What power supply does the RTX 4060 Laptop GPU need?

Plan a 250 W PSU (2× the 115 W TDP).

Is renting cheaper than buying an RTX 4060 Laptop GPU?

An RTX 3090 (24 GB) rents from $0.14/hr. With regular daily use, owning pays off.

Best coding LLMs 8 GB VRAM 12 GB VRAM GPUs with 8 GB or more RTX 5080 RTX 3080 Ti