NVIDIA · Turing

Best AI Models for NVIDIA GeForce GTX 1660 Ti Laptop GPU (6 GB)

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

6 GB GDDR6288 GB/s10 TFLOPS FP1680 WTuring 2019

6 GB at 288 GB/s: ~7B Q4 is tight but works with a short context. No Tensor Cores, so prompt processing is slow-ish. Max-Q version is clocked lower.

What LLMs can the GTX 1660 Ti Laptop GPU run?

#	Model	Speed	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 57.4 t/s	57.4 tok/s	Q4_K_M · 3.4 GB
2	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 65.9 t/s	65.9 tok/s	Q4_K_M · 5.0 GB
3	Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 54.6 t/s	54.6 tok/s	Q4_K_M · 3.5 GB
4	Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 63.2 t/s	63.2 tok/s	Q4_K_M · 4.3 GB
5	MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 98.5 t/s	98.5 tok/s	Q4_K_M · 2.5 GB

#	Model	Speed	Reasoning Score	Quant · VRAM
1	Gemma 3 4B ITGoogleHow to run → Q4_K_M · 5.0 GB · 65.9 t/s	65.9 tok/s		Q4_K_M · 5.0 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 57.4 t/s	57.4 tok/s	overall	Q4_K_M · 3.4 GB
3	Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 54.6 t/s	54.6 tok/s		Q4_K_M · 3.5 GB
4	Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 63.2 t/s	63.2 tok/s		Q4_K_M · 4.3 GB
5	MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 98.5 t/s	98.5 tok/s		Q4_K_M · 2.5 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 57.4 t/s	57.4 tok/s	Q4_K_M · 3.4 GB
2	Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 54.6 t/s	54.6 tok/s	Q4_K_M · 3.5 GB
3	Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 63.2 t/s	63.2 tok/s	Q4_K_M · 4.3 GB
4	MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 98.5 t/s	98.5 tok/s	Q4_K_M · 2.5 GB
5	MiniCPM V 4.7 1BOpenBMB Q4_K_M · 1.6 GB · 146 t/s	146 tok/s	Q4_K_M · 1.6 GB

#	Model	Speed ↓	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 57.4 t/s	57.4 tok/s	Q4_K_M · 3.4 GB
2	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 158 t/s	158 tok/s	Q4_K_M · 5.5 GB
3	MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 98.5 t/s	98.5 tok/s	Q4_K_M · 2.5 GB
4	Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 63.2 t/s	63.2 tok/s	Q4_K_M · 4.3 GB
5	Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 54.6 t/s	54.6 tok/s	Q4_K_M · 3.5 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 57.4 t/s	57.4 tok/s	Q4_K_M · 3.4 GB
2	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 65.9 t/s	65.9 tok/s	Q4_K_M · 5.0 GB
3	MiniCPM V 4.7 1BOpenBMB Q4_K_M · 1.6 GB · 146 t/s	146 tok/s	Q4_K_M · 1.6 GB
4	LFM3 Omni 2BLiquid AI Q4_K_M · 2.4 GB · 110 t/s	110 tok/s	Q4_K_M · 2.4 GB
5	Cosmos Reason2 2BNVIDIA Q4_K_M · 3.5 GB · 116 t/s	116 tok/s	Q4_K_M · 3.5 GB

See all 193 models on the GTX 1660 Ti Laptop GPU →Best quant that fits · speeds estimated on this card

About the GTX 1660 Ti Laptop GPU

The GTX 1660 Ti Laptop GPU runs only small models well. Turing generation, released 2019.

GenerationTuringreleased 2019

GTX 1660 Ti Laptop GPU strengths and weaknesses

Strengths

Runs 7–9B models: Qwen3.5 9B at 33.9 tok/s in 5.8 GB
Low power draw: 80 W board power; a 200 W PSU is enough

Weaknesses

14B models don't fit: Qwen3 14B needs 11.9 GB at Q4 vs 6 GB here
Little room for context: Qwen3.5 9B uses 5.8 of 6 GB, 0.2 GB left
Slow prompt reading: A 4K-token prompt on Qwen3.5 4B waits 8.7 s for the first token
No FP8 or NVFP4: Turing predates both; use GGUF, AWQ or GPTQ builds

Similar GPUs

Cards people weigh against the GTX 1660 Ti Laptop GPU, each with the one reason it is worth a look.

2 GB more for bigger modelsRTX 4060NVIDIA · 8 GB · Ada Lovelace

▲ 2 GB$520rent $0.08/hr27.8 tok/s

2 GB more for bigger modelsRTX 5060 Laptop GPUNVIDIA · 8 GB · Blackwell

▲ 2 GB39.2 tok/s

2 GB more for bigger modelsA750Intel · 8 GB · Alchemist

▲ 2 GB$28940.3 tok/s

2 GB more for bigger modelsRTX 3070 TiNVIDIA · 8 GB · Ampere

▲ 2 GB$599rent $0.19/hr62.2 tok/s

5 GB more for bigger modelsRTX 2080 TiNVIDIA · 11 GB · Turing

▲ 5 GB$999rent $0.10/hr63.0 tok/s

6 GB more for bigger modelsRTX 5070 Ti Laptop GPUNVIDIA · 12 GB · Blackwell

▲ 6 GB68.7 tok/s

GTX 1660 Ti Laptop GPU tokens per second by model size

Output speed depends on memory bandwidth (288 GB/s). Grey rows need more than 6 GB.

9BQwen3.5 9B · Q3_K_L · 5.8 GB tight · Q3_K_L
33.9tok/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 738 models on the GTX 1660 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 GTX 1660 Ti Laptop GPU — ranked by Score, recency and Fit
Model	Quant	VRAM	Speed	Context	Fit
Granite 3.3 8B Instruct8.2BChatFunctions IQ2_M·55.2 t/s	IQ2_M	5.7 GB96%	55.2 t/s	131K	B57, Decent
MiniCPM V 2 68.1BVision IQ2_M·62.2 t/s	IQ2_M	5.6 GB93%	62.2 t/s	—	B62, Decent
Mellum2 12B A2.5B Thinking SFT12.1BChat Q2_K·133.9 t/s	Q2_K	5.6 GB94%	133.9 t/s	131K	B62, Decent
Llama 3.1 Nemotron Safety Guard 8B v38.0BChat Q2_K·47.0 t/s	Q2_K	5.9 GB98%	47.0 t/s	131K	C44, Usable
Granite 3.2 8B Instruct8.2BChatFunctions IQ2_M·55.2 t/s	IQ2_M	5.7 GB96%	55.2 t/s	131K	B57, Decent
Mellum2 12B A2.5B Instruct SFT12.1BChat Q2_K·133.9 t/s	Q2_K	5.6 GB94%	133.9 t/s	131K	B62, Decent
Foundation Sec 8B8.0BChat Q2_K·47.0 t/s	Q2_K	5.9 GB98%	47.0 t/s	131K	C44, Usable
Gemma 7B8.5BChat IQ2_M·59.1 t/s	IQ2_M	5.8 GB96%	59.1 t/s	—	B59, Decent
Granite 3.1 8B Instruct8.2BChatFunctions IQ2_M·55.2 t/s	IQ2_M	5.7 GB96%	55.2 t/s	131K	B57, Decent
Qwen3 8B Base8.2BChat Q2_K_S·48.2 t/s	Q2_K_S	6.0 GB100%	48.2 t/s	33K	C44, Usable
Wildguard7.2BChat Q2_K·55.2 t/s	Q2_K	5.9 GB98%	55.2 t/s	—	C44, Usable
Glm 4 9B Chat9.4BChatFunctions IQ2_S·58.0 t/s	IQ2_S	5.9 GB99%	58.0 t/s	131K	C44, Usable
Qwen 7B7.7BChat Q2_K_S·55.1 t/s	Q2_K_S	5.9 GB99%	55.1 t/s	33K	C44, Usable
Codegemma 7B IT8.5BChatCode IQ2_M·59.1 t/s	IQ2_M	5.8 GB96%	59.1 t/s	—	B59, Decent
Qwen 14B14.2BChat IQ2_XS·40.0 t/s	IQ2_XS	6.0 GB100%	40.0 t/s	8K	C44, Usable

GTX 1660 Ti Laptop GPU specs, power and PSU

Specs

Architecture: Turing
VRAM: 6 GB GDDR6
Memory bandwidth: 288.0 GB/s
FP16 (dense): 9.77 TFLOPS
CUDA cores: 1,536
Tensor cores: 0
Compute capability: 7.5
TDP: 80 W
Released: 2019-04-23

GTX 1660 Ti Laptop GPU FAQ

What is the largest model the GTX 1660 Ti Laptop GPU can run?

Qwen2.5 7B Instruct (7.6B) is the largest at 4-bit or better: at Q4_K_M it uses 5.8 GB of 6 GB, and runs at about 37.5 tok/s. At 3-bit, a bigger model fits too: Gemma 2 9B IT (9.2B) at IQ3_M, 5.7 GB.

Can the GTX 1660 Ti Laptop GPU run Qwen3.5 4B?

Yes. Qwen3.5 4B fits at Q4_K_M, using 3.4 GB of 6 GB, and it is the best model that runs well on this card.

Can the GTX 1660 Ti Laptop GPU run 14B models?

No. Qwen3 14B needs 11.9 GB at Q4, more than the 6 GB on this card.

How many tokens per second does the GTX 1660 Ti Laptop GPU give?

About 57.4 tok/s on Qwen3.5 4B at Q4_K_M, with the first token after 8.7 s on a 4K-token prompt.

What power supply does the GTX 1660 Ti Laptop GPU need?

Plan a 200 W PSU (2× the 80 W TDP).

Is renting cheaper than buying a GTX 1660 Ti Laptop GPU?

An RTX 3080 Ti (12 GB) rents from $0.13/hr. With regular daily use, owning pays off.

Best coding LLMs 8 GB VRAM GPUs with 6 GB or more RTX 3080 Ti RTX 3080 12GB RTX 3080