NVIDIA · Ada Lovelace · 8 GB VRAM tier

Best AI Models for NVIDIA GeForce RTX 4070 Laptop GPU (8 GB)

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

8 GB GDDR6256 GB/s40 TFLOPS FP16115 WAda Lovelace 2023

Only 8 GB and a 128-bit bus, same memory as the 4060 Laptop - extra compute helps prompt processing, not model size. Speed varies with the chassis power limit.

What LLMs can the RTX 4070 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 4070 Laptop GPU →Best quant that fits · speeds estimated on this card

About the RTX 4070 Laptop GPU

The RTX 4070 Laptop GPU runs 7–9B models well. Ada Lovelace generation, released 2023.

GenerationAda Lovelacereleased 2023

RTX 4070 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

Similar GPUs

Cards people weigh against the RTX 4070 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 $0.24/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 4070 Laptop GPURTX 5070 TiNVIDIA · 16 GB · Blackwell

▲ 8 GB$1,170rent $0.16/hr91.6 tok/s

RTX 4070 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 4070 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 4070 Laptop GPU — ranked by Score, recency and Fit
Model	Quant	VRAM	Speed	Context	Fit
Nanonets OCR S3.8BVision Q4_K_M·63.3 t/s	Q4_K_M	3.2 GB40%	63.3 t/s	128K	A84, Runs well
Transformer 1.3B 100B1.4BChat BF16·55.5 t/s	BF16	3 GB38%	55.5 t/s	2K	A82, Runs well
Gemma 4 12B IT Heretic12.0BChat Q3_K_M·24.2 t/s	Q3_K_M	7.7 GB96%	24.2 t/s	131K	C40, Usable
Qwen3 8B 64k Context 2X Josiefied Uncensored8.2BChatReasoningFunctions Q4_K_M·30.1 t/s	Q4_K_M	7.6 GB95%	30.1 t/s	66K	B48, Decent
MiMo 7B RL7.8BChatFunctions Q4_K_M·31.4 t/s	Q4_K_M	7.4 GB93%	31.4 t/s	33K	B52, Decent
Opt 350M350MChat FP16·216.1 t/s	FP16	0.8 GB10%	216.1 t/s	2K	S100, Runs great
Mamba 1.4B HF1.4BChat Q4_K_M·182.9 t/s	Q4_K_M	2.5 GB31%	182.9 t/s	—	S99, Runs great
TinyStories 1M1MChat BF16·16640.0 t/s	BF16	0.0 GB0%	16640.0 t/s	2K	S100, Runs great
Granite 3.3 2B Instruct2.5BChatFunctions Q4_K_M·83.6 t/s	Q4_K_M	3.2 GB40%	83.6 t/s	131K	S88, Runs great
LFM2 8B A1B8.3BChat Q4_K_M·135.5 t/s	Q4_K_M	5.5 GB69%	135.5 t/s	128K	S96, Runs great
Gpt2 Medium380MChat Q4_K_M·665.6 t/s	Q4_K_M	0.3 GB3%	665.6 t/s	1K	S100, Runs great
LFM2.5 230M Base230MChat Q4_K_M·332.8 t/s	Q4_K_M	0.6 GB8%	332.8 t/s	128K	S100, Runs great
Dobby Mini Unhinged Llama 3.1 8B8.0BChatRoleplay Q4_K_M·30.9 t/s	Q4_K_M	7.3 GB91%	30.9 t/s	131K	B56, Decent
EXAONE 3.5 7.8B Instruct7.8BChat Q4_K_M·32.2 t/s	Q4_K_M	7.7 GB96%	32.2 t/s	33K	B47, Decent
NVIDIA Nemotron Nano 9B v2 Japanese8.9BChat Q4_K_M·27.5 t/s	Q4_K_M	6.0 GB76%	27.5 t/s	131K	A68, Runs well

RTX 4070 Laptop GPU specs, power and PSU

Specs

Architecture: Ada Lovelace
VRAM: 8 GB GDDR6
Memory bandwidth: 256.0 GB/s
FP16 (dense): 40.09 TFLOPS
CUDA cores: 4,608
Tensor cores: 144
Compute capability: 8.9
TDP: 115 W
Released: 2023-02-22

RTX 4070 Laptop GPU FAQ

What is the largest model the RTX 4070 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 4070 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 4070 Laptop GPU give?

About 26.2 tok/s on Qwen3.5 9B at Q4_K_M, with the first token after 4.4 s on a 4K-token prompt.

What power supply does the RTX 4070 Laptop GPU need?

Plan a 250 W PSU (2× the 115 W TDP).

Is renting cheaper than buying an RTX 4070 Laptop GPU?

An RTX 3090 (24 GB) rents from $0.18/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