Best AI Models for NVIDIA GeForce RTX 3070 Ti Laptop GPU (8 GB)

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

8 GB GDDR6448 GB/s35 TFLOPS FP16125 WAmpere 2022

8 GB GDDR6 on a 256-bit bus (448 GB/s); VRAM, not compute, is the limit - ~7-8B Q4 models. Real speed depends on the chassis power limit.

What LLMs can the RTX 3070 Ti Laptop GPU run?

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 45.8 t/s	45.8 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 89.3 t/s	89.3 tok/s	Q4_K_M · 3.4 GB
3	Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 47.7 t/s	47.7 tok/s	Q4_K_M · 7.3 GB
4	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 103 t/s	103 tok/s	Q4_K_M · 5.0 GB
5	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 221 t/s	221 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 · 45.8 t/s	45.8 tok/s		Q4_K_M · 6.6 GB
2	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 103 t/s	103 tok/s		Q4_K_M · 5.0 GB
3	Qwen2.5 7B InstructAlibaba Q4_K_M · 5.8 GB · 58.4 t/s	58.4 tok/s		Q4_K_M · 5.8 GB
4	Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 47.7 t/s	47.7 tok/s	overall	Q4_K_M · 7.3 GB
5	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 221 t/s	221 tok/s		Q4_K_M · 5.5 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 89.3 t/s	89.3 tok/s	Q4_K_M · 3.4 GB
2	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 45.8 t/s	45.8 tok/s	Q4_K_M · 6.6 GB
3	Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 54.7 t/s	54.7 tok/s	Q4_K_M · 5.6 GB
4	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 221 t/s	221 tok/s	Q4_K_M · 5.5 GB
5	Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 98.4 t/s	98.4 tok/s	Q4_K_M · 4.3 GB

#	Model	Speed ↓	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 89.3 t/s	89.3 tok/s	Q4_K_M · 3.4 GB
2	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 221 t/s	221 tok/s	Q4_K_M · 5.5 GB
3	Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 54.7 t/s	54.7 tok/s	Q4_K_M · 5.6 GB
4	MiMo V2.6 Distill Qwen 9BXiaomi Q4_K_M · 6.5 GB · 46.9 t/s	46.9 tok/s	Q4_K_M · 6.5 GB
5	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 45.8 t/s	45.8 tok/s	Q4_K_M · 6.6 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 45.8 t/s	45.8 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 89.3 t/s	89.3 tok/s	Q4_K_M · 3.4 GB
3	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 103 t/s	103 tok/s	Q4_K_M · 5.0 GB
4	MiMo V2.6 Distill Qwen 9BXiaomi Q4_K_M · 6.5 GB · 46.9 t/s	46.9 tok/s	Q4_K_M · 6.5 GB
5	LFM3 Omni 2BLiquid AI Q4_K_M · 2.4 GB · 171 t/s	171 tok/s	Q4_K_M · 2.4 GB

See all 218 models on the RTX 3070 Ti Laptop GPU →Best quant that fits · speeds estimated on this card

About the RTX 3070 Ti Laptop GPU

The RTX 3070 Ti Laptop GPU runs 7–9B models well. Ampere generation, released 2022.

GenerationAmperereleased 2022

RTX 3070 Ti Laptop GPU strengths and weaknesses

Strengths

Runs 7–9B models: Qwen3.5 9B at 45.8 tok/s in 6.6 GB
Low power draw: 125 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 5.0 s for the first token
No FP8 or NVFP4: Ampere predates both; use GGUF, AWQ or GPTQ builds

Similar GPUs

Cards people weigh against the RTX 3070 Ti Laptop GPU, each with the one reason it is worth a look.

About as fast, same 8 GBRTX 3070 TiNVIDIA · 8 GB · Ampere

same 8 GB$599rent $0.18/hr62.2 tok/s

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

▲ 8 GB$1,199rent $0.25/hr73.3 tok/s

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

▲ 8 GB$999rent $0.32/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 3070 Ti Laptop GPURTX 5070 TiNVIDIA · 16 GB · Blackwell

▲ 8 GB$1,170rent $0.17/hr91.6 tok/s

RTX 3070 Ti Laptop GPU tokens per second by model size

Output speed depends on memory bandwidth (448 GB/s). Grey rows need more than 8 GB.

9BQwen3.5 9B · Q4_K_M · 6.6 GB
45.8tok/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 3070 Ti 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 3070 Ti Laptop GPU — ranked by Score, recency and Fit
Model	Quant	VRAM	Speed	Context	Fit
Yi 9B8.8BChat Q4_K_M·50.2 t/s	Q4_K_M	6 GB75%	50.2 t/s	4K	A79, Runs well
Xgen 7B 8k Base7BChat Q4_K_M·63.0 t/s	Q4_K_M	5.7 GB71%	63.0 t/s	8K	A84, Runs well
Baichuan2 7B Base7BChat Q4_K_M·63.0 t/s	Q4_K_M	5.0 GB62%	63.0 t/s	4K	A84, Runs well
Baichuan 7B7BChat Q4_K_M·63.0 t/s	Q4_K_M	5.0 GB62%	63.0 t/s	4K	A84, Runs well
Yi 6B Chat6.1BChat Q4_K_M·71.5 t/s	Q4_K_M	4.2 GB53%	71.5 t/s	4K	S86, Runs great
RedPajama INCITE 7B Base7BChat Q4_K_M·63.0 t/s	Q4_K_M	4.6 GB58%	63.0 t/s	2K	A84, Runs well
SmolLM 360M362MChat Q4_K_M·485.3 t/s	Q4_K_M	0.6 GB8%	485.3 t/s	2K	S100, Runs great
Qwen 1 8B1.8BChat Q4_K_M·240.7 t/s	Q4_K_M	1.9 GB24%	240.7 t/s	8K	S100, Runs great
Phi 4 Reasoning14.7BChatMathCodeReasoning IQ2_XXS·61.3 t/s	IQ2_XXS	7.7 GB96%	61.3 t/s	33K	B59, Decent
Qwen2.5 Coder 3B3.1BChatCodeFunctions Q4_K_M·130.6 t/s	Q4_K_M	2.8 GB35%	130.6 t/s	33K	S95, Runs great
Qwen2.5 Omni 7B10.7BChat Q3_K_S·56.4 t/s	Q3_K_S	8.0 GB99%	56.4 t/s	—	C44, Usable
Qwen 7B7.7BChat Q4_K_M·57.1 t/s	Q4_K_M	7.6 GB96%	57.1 t/s	33K	B58, Decent
MiniCPM V 2 68.1BVision Q4_K_M·54.4 t/s	Q4_K_M	7.9 GB99%	54.4 t/s	—	C44, Usable
Llama 3.2 11B Vision Instruct10.7BVisionFunctions Q2_K·58.4 t/s	Q2_K	7.8 GB97%	58.4 t/s	—	B57, Decent
Gemma 3 12B IT12.2BVision IQ2_M·64.4 t/s	IQ2_M	7.4 GB93%	64.4 t/s	33K	B62, Decent

RTX 3070 Ti Laptop GPU specs, power and PSU

Specs

Architecture: Ampere
VRAM: 8 GB GDDR6
Memory bandwidth: 448.0 GB/s
FP16 (dense): 34.97 TFLOPS
CUDA cores: 5,888
Tensor cores: 184
Compute capability: 8.6
TDP: 125 W
Released: 2022-02-01

RTX 3070 Ti Laptop GPU FAQ

What is the largest model the RTX 3070 Ti 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 45.8 tok/s.

Can the RTX 3070 Ti 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 3070 Ti Laptop GPU give?

About 45.8 tok/s on Qwen3.5 9B at Q4_K_M, with the first token after 5.0 s on a 4K-token prompt.

What power supply does the RTX 3070 Ti Laptop GPU need?

Plan a 250 W PSU (2× the 125 W TDP).

Is renting cheaper than buying an RTX 3070 Ti 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