NVIDIA · Turing

Best AI Models for NVIDIA GeForce GTX 1650 Laptop GPU (4 GB)

Runs only small models well; 7–9B doesn't fit in 4 GB.

4 GB GDDR5128 GB/s6 TFLOPS FP1650 WTuring 2019

4 GB at 128 GB/s (some models have GDDR6 at 192 GB/s): ~3B Q4 only, slow decode. Laptop version has 1024 cores, more than the desktop GTX 1650. No Tensor Cores.

What LLMs can the GTX 1650 Laptop GPU run?

#	Model	Speed	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 25.5 t/s	25.5 tok/s	Q4_K_M · 3.4 GB
2	Qwen3.5 2BAlibaba Q4_K_M · 1.9 GB · 47.0 t/s	47.0 tok/s	Q4_K_M · 1.9 GB
3	MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 43.8 t/s	43.8 tok/s	Q4_K_M · 2.5 GB
4	Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 24.3 t/s	24.3 tok/s	Q4_K_M · 3.5 GB
5	LFM3 1.7BLiquid AI Q4_K_M · 2.1 GB · 57.8 t/s	57.8 tok/s	Q4_K_M · 2.1 GB

#	Model	Speed ↓	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 25.5 t/s	25.5 tok/s	Q4_K_M · 3.4 GB
2	LFM3 1.7BLiquid AI Q4_K_M · 2.1 GB · 57.8 t/s	57.8 tok/s	Q4_K_M · 2.1 GB
3	Qwen3.5 2BAlibaba Q4_K_M · 1.9 GB · 47.0 t/s	47.0 tok/s	Q4_K_M · 1.9 GB
4	MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 43.8 t/s	43.8 tok/s	Q4_K_M · 2.5 GB
5	Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 24.3 t/s	24.3 tok/s	Q4_K_M · 3.5 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 25.5 t/s	25.5 tok/s	Q4_K_M · 3.4 GB
2	Qwen3.5 2BAlibaba Q4_K_M · 1.9 GB · 47.0 t/s	47.0 tok/s	Q4_K_M · 1.9 GB
3	LFM3 Omni 2BLiquid AI Q4_K_M · 2.4 GB · 48.9 t/s	48.9 tok/s	Q4_K_M · 2.4 GB
4	MiniCPM V 4.7 1BOpenBMB Q4_K_M · 1.6 GB · 65.0 t/s	65.0 tok/s	Q4_K_M · 1.6 GB
5	Cosmos Reason2 2BNVIDIA Q4_K_M · 3.5 GB · 51.7 t/s	51.7 tok/s	Q4_K_M · 3.5 GB

See all 151 models on the GTX 1650 Laptop GPU →Best quant that fits · speeds estimated on this card

About the GTX 1650 Laptop GPU

The GTX 1650 Laptop GPU runs only small models well. Turing generation, released 2019.

GenerationTuringreleased 2019

GTX 1650 Laptop GPU strengths and weaknesses

Strengths

Low power draw: 50 W board power; a 100 W PSU is enough

Weaknesses

7–9B models don't fit: Qwen3.5 9B needs 6.6 GB at Q4 vs 4 GB here
Slow prompt reading: A 4K-token prompt on Qwen3.5 4B waits 13.3 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 1650 Laptop GPU, each with the one reason it is worth a look.

About as fast, same 4 GBRTX 3050 Laptop GPUNVIDIA · 4 GB · Ampere

same 4 GB34.8 tok/s

2 GB more for bigger modelsGTX 1660 SUPERNVIDIA · 6 GB · Turing

▲ 2 GB$22939.6 tok/s

4 GB more for bigger modelsA750Intel · 8 GB · Alchemist

▲ 4 GB$28940.3 tok/s

4 GB more for bigger modelsA580Intel · 8 GB · Alchemist

▲ 4 GB$17940.3 tok/s

4 GB more for bigger modelsA770 8GBIntel · 8 GB · Alchemist

▲ 4 GB$32940.3 tok/s

4 GB more for bigger modelsRTX 3060 TiNVIDIA · 8 GB · Ampere

▲ 4 GB$399rent $0.08/hr45.8 tok/s

GTX 1650 Laptop GPU tokens per second by model size

Output speed depends on memory bandwidth (128 GB/s). Grey rows need more than 4 GB.

9BQwen3.5 9B · not at 4-bit
needs 6.6 GB
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 562 models on the GTX 1650 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 1650 Laptop GPU — ranked by Score, recency and Fit
Model	Quant	VRAM	Speed	Context	Fit
Llama 3.2 1B Instruct1.2BChatFunctions Q4_K_M·101.5 t/s	Q4_K_M	2.3 GB59%	101.5 t/s	131K	S92, Runs great
Agents A1 4B4.5BChatVisionFunctions Q4_K_M·26.1 t/s	Q4_K_M	3.4 GB84%	26.1 t/s	262K	B62, Decent
SmolVLM 500M Instruct507MVision Q4_K_M·120.6 t/s	Q4_K_M	0.9 GB24%	120.6 t/s	8K	S95, Runs great
SmolVLM 256M Instruct256MVision Q4_K_M·166.4 t/s	Q4_K_M	0.6 GB16%	166.4 t/s	8K	S98, Runs great
GPT S 5M5MChat BF16·260.0 t/s	BF16	0.3 GB8%	260.0 t/s	1K	S100, Runs great
Huihui MiniCPM5 1B Abliterated1.1BChat Q4_K_M·84.0 t/s	Q4_K_M	1.3 GB31%	84.0 t/s	131K	S88, Runs great
Supra 50M Reasoning52MChatReasoning Q4_K_M·231.1 t/s	Q4_K_M	0.3 GB9%	231.1 t/s	1K	S100, Runs great
MobileLLM R1 360M359MChatReasoning Q4_K_M·346.7 t/s	Q4_K_M	1.3 GB33%	346.7 t/s	—	S100, Runs great
Tiny Random GPTJForCausalLM129184Chat Q4_K_M·8320.0 t/s	Q4_K_M	0.0 GB0%	8320.0 t/s	1K	S100, Runs great
Tiny Qwen3MoeForCausalLM3MChatFunctions Q4_K_M·277.3 t/s	Q4_K_M	0.6 GB14%	277.3 t/s	41K	S100, Runs great
Tiny Random GPT2LMHeadModel83161Chat Q4_K_M·8320.0 t/s	Q4_K_M	0.0 GB0%	8320.0 t/s	1K	S100, Runs great
SmolLM3 3B3.1BChatFunctions Q4_K_M·36.2 t/s	Q4_K_M	3.4 GB84%	36.2 t/s	66K	A68, Runs well
HRM Text 1B1.2BChat BF16·29.0 t/s	BF16	3.1 GB77%	29.0 t/s	4K	A69, Runs well
Qwen3.8 4B Distill4.7BChatReasoningFunctions Q4_K_M·25.5 t/s	Q4_K_M	3.4 GB86%	25.5 t/s	262K	B59, Decent
Opt 125M125MChat FP16·297.1 t/s	FP16	0.3 GB7%	297.1 t/s	2K	S100, Runs great

GTX 1650 Laptop GPU specs, power and PSU

Specs

Architecture: Turing
VRAM: 4 GB GDDR5
Memory bandwidth: 128.0 GB/s
FP16 (dense): 6.39 TFLOPS
CUDA cores: 1,024
Tensor cores: 0
Compute capability: 7.5
TDP: 50 W
Released: 2019-04-23

GTX 1650 Laptop GPU FAQ

What is the largest model the GTX 1650 Laptop GPU can run?

Qwen3.5 4B (4.7B) is the largest at 4-bit or better: at Q4_K_M it uses 3.4 GB of 4 GB, and runs at about 25.5 tok/s.

Can the GTX 1650 Laptop GPU run 7–9B models?

No. Qwen3.5 9B needs 6.6 GB at Q4, more than the 4 GB on this card.

How many tokens per second does the GTX 1650 Laptop GPU give?

About 25.5 tok/s on Qwen3.5 4B at Q4_K_M, with the first token after 13.3 s on a 4K-token prompt.

What power supply does the GTX 1650 Laptop GPU need?

Plan a 100 W PSU (2× the 50 W TDP).

Is renting cheaper than buying a GTX 1650 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 4 GB or more RTX 3070 Ti RTX 2080 SUPER RTX 3070