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 842 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
Qwen3.8 27B DFlash21.9BChat Q4_K_M·110.9 t/s	Q4_K_M	1.9 GB23%	110.9 t/s	262K	S93, Runs great
Tiny Olmo3ForCausalLM2MChat Q4_K_M·554.7 t/s	Q4_K_M	0.5 GB7%	554.7 t/s	66K	S100, Runs great
LensVLM 9B9.4BVisionFunctions Q4_K_M·26.8 t/s	Q4_K_M	6.5 GB81%	26.8 t/s	262K	A66, Runs well
Gemma 4 12B IT12.0BChatFunctions Q3_K_L·23.2 t/s	Q3_K_L	8.0 GB100%	23.2 t/s	262K	C32, Usable
JevK54.2BChatFunctions Q4_K_M·55.7 t/s	Q4_K_M	3.2 GB40%	55.7 t/s	262K	A82, Runs well
Granite 4.1 3B3.4BChatFunctions Q4_K_M·66.3 t/s	Q4_K_M	3.7 GB46%	66.3 t/s	131K	S85, Runs great
Crowd V11.0BChatFunctions BF16·69.6 t/s	BF16	2.4 GB30%	69.6 t/s	2K	S86, Runs great
Nanbeige4.2 3B4.2BChatFunctions Q4_K_M·57.6 t/s	Q4_K_M	3.5 GB44%	57.6 t/s	262K	A82, Runs well
Tiny RemoteForCausalLM1MChatFunctions BF16·554.7 t/s	BF16	0.5 GB6%	554.7 t/s	131K	S100, Runs great
Pythia 14M14MChat Q4_K_M·16640.0 t/s	Q4_K_M	0.0 GB0%	16640.0 t/s	2K	S100, Runs great
Qwen3.8 4B Distill4.7BChatReasoningFunctions Q4_K_M·51.0 t/s	Q4_K_M	3.4 GB43%	51.0 t/s	262K	A80, Runs well
Ornith 1.5 9B OBLITERATED9.7BChatFunctions Q4_K_M·26.2 t/s	Q4_K_M	6.6 GB83%	26.2 t/s	262K	B63, Decent
CAJAL 4B4BChat Q4_K_M·63.0 t/s	Q4_K_M	4.8 GB59%	63.0 t/s	—	A84, Runs well
BitCPM CANN 8B8BChat Q4_K_M·32.2 t/s	Q4_K_M	5.6 GB71%	32.2 t/s	33K	A71, Runs well
OCC RAG 1.7B1.7BChat Q4_K_M·106.0 t/s	Q4_K_M	3.2 GB40%	106.0 t/s	33K	S92, Runs great

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