NVIDIA · Blackwell · 8 GB VRAM tier

Best AI Models for NVIDIA GeForce RTX 5050 Laptop GPU (8 GB)

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

8 GB GDDR7384 GB/s27 TFLOPS FP16100 WBlackwell 2025

8 GB GDDR7 on a 128-bit bus: ~7-8B Q4 models at most. Speed varies with the chassis power limit.

What LLMs can the RTX 5050 Laptop GPU run?

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 39.2 t/s	39.2 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 76.6 t/s	76.6 tok/s	Q4_K_M · 3.4 GB
3	Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 40.9 t/s	40.9 tok/s	Q4_K_M · 7.3 GB
4	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 87.9 t/s	87.9 tok/s	Q4_K_M · 5.0 GB
5	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 197 t/s	197 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 · 39.2 t/s	39.2 tok/s		Q4_K_M · 6.6 GB
2	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 87.9 t/s	87.9 tok/s		Q4_K_M · 5.0 GB
3	Qwen2.5 7B InstructAlibaba Q4_K_M · 5.8 GB · 50.0 t/s	50.0 tok/s		Q4_K_M · 5.8 GB
4	Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 40.9 t/s	40.9 tok/s	overall	Q4_K_M · 7.3 GB
5	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 197 t/s	197 tok/s		Q4_K_M · 5.5 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 76.6 t/s	76.6 tok/s	Q4_K_M · 3.4 GB
2	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 39.2 t/s	39.2 tok/s	Q4_K_M · 6.6 GB
3	Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 46.9 t/s	46.9 tok/s	Q4_K_M · 5.6 GB
4	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 197 t/s	197 tok/s	Q4_K_M · 5.5 GB
5	Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 84.3 t/s	84.3 tok/s	Q4_K_M · 4.3 GB

#	Model	Speed ↓	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 76.6 t/s	76.6 tok/s	Q4_K_M · 3.4 GB
2	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 197 t/s	197 tok/s	Q4_K_M · 5.5 GB
3	Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 46.9 t/s	46.9 tok/s	Q4_K_M · 5.6 GB
4	MiMo V2.6 Distill Qwen 9BXiaomi Q4_K_M · 6.5 GB · 40.2 t/s	40.2 tok/s	Q4_K_M · 6.5 GB
5	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 39.2 t/s	39.2 tok/s	Q4_K_M · 6.6 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 39.2 t/s	39.2 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 76.6 t/s	76.6 tok/s	Q4_K_M · 3.4 GB
3	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 87.9 t/s	87.9 tok/s	Q4_K_M · 5.0 GB
4	MiMo V2.6 Distill Qwen 9BXiaomi Q4_K_M · 6.5 GB · 40.2 t/s	40.2 tok/s	Q4_K_M · 6.5 GB
5	MiniCPM V 4.7 1BOpenBMB Q4_K_M · 1.6 GB · 195 t/s	195 tok/s	Q4_K_M · 1.6 GB

See all 218 models on the RTX 5050 Laptop GPU →Best quant that fits · speeds estimated on this card

About the RTX 5050 Laptop GPU

The RTX 5050 Laptop GPU runs 7–9B models well. Blackwell generation, released 2025.

GenerationBlackwellreleased 2025

RTX 5050 Laptop GPU strengths and weaknesses

Strengths

Runs 7–9B models: Qwen3.5 9B at 39.2 tok/s in 6.6 GB
Low power draw: 100 W board power; a 200 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 6.5 s for the first token

Similar GPUs

Cards people weigh against the RTX 5050 Laptop GPU, each with the one reason it is worth a look.

About as fast, same 8 GBRTX 2080 SUPERNVIDIA · 8 GB · Turing

same 8 GB$69950.7 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 5050 Laptop GPURTX 5070 TiNVIDIA · 16 GB · Blackwell

▲ 8 GB$1,170rent $0.16/hr91.6 tok/s

RTX 5050 Laptop GPU tokens per second by model size

Output speed depends on memory bandwidth (384 GB/s). Grey rows need more than 8 GB.

9BQwen3.5 9B · Q4_K_M · 6.6 GB
39.2tok/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 5050 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 5050 Laptop GPU — ranked by Score, recency and Fit
Model	Quant	VRAM	Speed	Context	Fit
Mistral 7B Instruct v0.37.2BChatFunctions Q4_K_M·50.7 t/s	Q4_K_M	6.8 GB85%	50.7 t/s	33K	A73, Runs well
Pythia 6.9B7.0BChat Q4_K_M·54.1 t/s	Q4_K_M	4.6 GB58%	54.1 t/s	2K	A81, Runs well
NeuralDaredevil 8B Abliterated8.0BChat Q4_K_M·46.3 t/s	Q4_K_M	6.2 GB78%	46.3 t/s	8K	A78, Runs well
Opt 350M350MChat FP16·324.2 t/s	FP16	0.8 GB10%	324.2 t/s	2K	S100, Runs great
Gemma 2 9B IT9.2BChat Q4_K_M·40.9 t/s	Q4_K_M	7.3 GB91%	40.9 t/s	8K	B60, Decent
TinyStories 1M1MChat BF16·24960.0 t/s	BF16	0.0 GB0%	24960.0 t/s	2K	S100, Runs great
Lucie 7B6.7BChat Q4_K_M·54.4 t/s	Q4_K_M	6.5 GB81%	54.4 t/s	32K	A80, Runs well
L3 8B Stheno V3.28.0BChat Q4_K_M·46.3 t/s	Q4_K_M	6.2 GB78%	46.3 t/s	8K	A78, Runs well
Phi 4 Mini Reasoning3.8BChatMathCodeReasoningFunctions Q4_K_M·87.0 t/s	Q4_K_M	4.8 GB59%	87.0 t/s	131K	S89, Runs great
SmolLM2 1.7B Instruct1.7BChat Q4_K_M·144.3 t/s	Q4_K_M	2.9 GB37%	144.3 t/s	8K	S96, Runs great
MobileLLaMA 1.4B Chat1.4BChat Q4_K_M·162.1 t/s	Q4_K_M	1.5 GB19%	162.1 t/s	2K	S97, Runs great
Gpt2 Medium380MChat Q4_K_M·998.4 t/s	Q4_K_M	0.3 GB3%	998.4 t/s	1K	S100, Runs great
LFM2.5 230M Base230MChat Q4_K_M·499.2 t/s	Q4_K_M	0.6 GB8%	499.2 t/s	128K	S100, Runs great
TinyLlama 1.1B Intermediate Step 1431k 3T1.1BChat Q4_K_M·247.1 t/s	Q4_K_M	1.0 GB13%	247.1 t/s	2K	S100, Runs great
MiniCPM 2B Sft BF162BChat Q4_K_M·110.9 t/s	Q4_K_M	3 GB38%	110.9 t/s	4K	S93, Runs great

RTX 5050 Laptop GPU specs, power and PSU

Specs

Architecture: Blackwell
VRAM: 8 GB GDDR7
Memory bandwidth: 384.0 GB/s
FP16 (dense): 27.26 TFLOPS
CUDA cores: 2,560
Tensor cores: 80
Compute capability: 12.0
TDP: 100 W
Released: 2025-06-01

RTX 5050 Laptop GPU FAQ

What is the largest model the RTX 5050 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 39.2 tok/s.

Can the RTX 5050 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 5050 Laptop GPU give?

About 39.2 tok/s on Qwen3.5 9B at Q4_K_M, with the first token after 6.4 s on a 4K-token prompt.

What power supply does the RTX 5050 Laptop GPU need?

Plan a 200 W PSU (2× the 100 W TDP).

Is renting cheaper than buying an RTX 5050 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