NVIDIA · Blackwell · 24 GB VRAM tier

Best AI Models for NVIDIA GeForce RTX 5090 Laptop GPU (24 GB)

Runs 27–31B and 35B MoE models well; 70B doesn't fit in 24 GB.

24 GB GDDR7896 GB/s91 TFLOPS FP16150 WBlackwell 2025

Laptop GPU: 24 GB GDDR7 but far lower clocks/power than the desktop RTX 5090 — real performance depends on the chassis power limit.

What LLMs can the RTX 5090 Laptop GPU run?

#	Model	Speed	Quant · VRAM
1	Qwen3.8 27BAlibabaHow to run → Q4_K_M · 17.9 GB · 33.4 t/s	33.4 tok/s	Q4_K_M · 17.9 GB
2	Qwen3.6 27BAlibaba Q4_K_M · 17.9 GB · 33.4 t/s	33.4 tok/s	Q4_K_M · 17.9 GB
3	Gemma 4 31B ITGoogle Q4_K_M · 21.7 GB · 28.6 t/s	28.6 tok/s	Q4_K_M · 21.7 GB
4	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 157 t/s	157 tok/s	Q4_K_M · 16.5 GB
5	NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA Q4_K_M · 19.3 GB · 187 t/s	187 tok/s	Q4_K_M · 19.3 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.8 27BAlibabaHow to run → Q4_K_M · 17.9 GB · 33.4 t/s	33.4 tok/s	Q4_K_M · 17.9 GB
2	Gemma 4 31B ITGoogle Q4_K_M · 21.7 GB · 28.6 t/s	28.6 tok/s	Q4_K_M · 21.7 GB
3	Qwen3.6 35B A3BAlibaba Q4_K_M · 22.0 GB · 139 t/s	139 tok/s	Q4_K_M · 22.0 GB
4	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 157 t/s	157 tok/s	Q4_K_M · 16.5 GB
5	NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA Q4_K_M · 19.3 GB · 187 t/s	187 tok/s	Q4_K_M · 19.3 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.8 27BAlibabaHow to run → Q4_K_M · 17.9 GB · 33.4 t/s	33.4 tok/s	Q4_K_M · 17.9 GB
2	Gemma 4 31B ITGoogle Q4_K_M · 21.7 GB · 28.6 t/s	28.6 tok/s	Q4_K_M · 21.7 GB
3	Qwen3.5 27BAlibaba Q4_K_M · 17.9 GB · 33.4 t/s	33.4 tok/s	Q4_K_M · 17.9 GB
4	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 157 t/s	157 tok/s	Q4_K_M · 16.5 GB
5	NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA Q4_K_M · 19.3 GB · 187 t/s	187 tok/s	Q4_K_M · 19.3 GB

#	Model	Speed	Math Score	Quant · VRAM
1	Qwen3.8 27BAlibabaHow to run → Q4_K_M · 17.9 GB · 33.4 t/s	33.4 tok/s		Q4_K_M · 17.9 GB
2	Qwen3.6 27BAlibaba Q4_K_M · 17.9 GB · 33.4 t/s	33.4 tok/s		Q4_K_M · 17.9 GB
3	Qwen3.6 35B A3BAlibaba Q4_K_M · 22.0 GB · 139 t/s	139 tok/s		Q4_K_M · 22.0 GB
4	Gemma 4 31B ITGoogle Q4_K_M · 21.7 GB · 28.6 t/s	28.6 tok/s	overall	Q4_K_M · 21.7 GB
5	NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA Q4_K_M · 19.3 GB · 187 t/s	187 tok/s		Q4_K_M · 19.3 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.8 27BAlibabaHow to run → Q4_K_M · 17.9 GB · 33.4 t/s	33.4 tok/s	Q4_K_M · 17.9 GB
2	Qwen3.6 27BAlibaba Q4_K_M · 17.9 GB · 33.4 t/s	33.4 tok/s	Q4_K_M · 17.9 GB
3	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 157 t/s	157 tok/s	Q4_K_M · 16.5 GB
4	GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 173 t/s	173 tok/s	Q4_K_M · 13.1 GB
5	LFM2.5 24B A2BLiquid AI Q4_K_M · 15.0 GB · 208 t/s	208 tok/s	Q4_K_M · 15.0 GB

#	Model	Speed ↓	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 179 t/s	179 tok/s	Q4_K_M · 3.4 GB
2	NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA Q4_K_M · 19.3 GB · 187 t/s	187 tok/s	Q4_K_M · 19.3 GB
3	GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 173 t/s	173 tok/s	Q4_K_M · 13.1 GB
4	Qwen3 30B A3B Thinking 2507Alibaba Q4_K_M · 19.4 GB · 162 t/s	162 tok/s	Q4_K_M · 19.4 GB
5	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 157 t/s	157 tok/s	Q4_K_M · 16.5 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.8 27BAlibabaHow to run → Q4_K_M · 17.9 GB · 33.4 t/s	33.4 tok/s	Q4_K_M · 17.9 GB
2	Qwen3.6 27BAlibaba Q4_K_M · 17.9 GB · 33.4 t/s	33.4 tok/s	Q4_K_M · 17.9 GB
3	Gemma 4 31B ITGoogle Q4_K_M · 21.7 GB · 28.6 t/s	28.6 tok/s	Q4_K_M · 21.7 GB
4	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 157 t/s	157 tok/s	Q4_K_M · 16.5 GB
5	JEV 27B VLautotrust Q4_K_M · 17.9 GB · 33.4 t/s	33.4 tok/s	Q4_K_M · 17.9 GB

See all 327 models on the RTX 5090 Laptop GPU →Best quant that fits · speeds estimated on this card

About the RTX 5090 Laptop GPU

The RTX 5090 Laptop GPU runs 27–31B and 35B MoE models well. Blackwell generation, released 2025.

GenerationBlackwellreleased 2025

RTX 5090 Laptop GPU strengths and weaknesses

Strengths

Runs 35B MoE models: Qwen3.6 35B A3B at 139 tok/s in 22 GB
Room for long context: Qwen3.8 27B at Q4 uses 17.9 GB, leaving 6.1 GB free
Low power draw: 150 W board power; a 300 W PSU is enough

Weaknesses

70B models don't fit: Llama 3.3 70B Instruct needs 51.3 GB at Q4 vs 24 GB here
Slow prompt reading: A 4K-token prompt on Qwen3.8 27B waits 5.6 s for the first token

Similar GPUs

Cards people weigh against the RTX 5090 Laptop GPU, each with the one reason it is worth a look.

About as fast, same 24 GBTITAN RTXNVIDIA · 24 GB · Turing

same 24 GB$2,499rent $0.21/hr68.7 tok/s

As fast, 20 GBRX 7900 XTAMD · 20 GB · RDNA 3

▼ 4 GB$89975.5 tok/s

Best value near the RTX 5090 Laptop GPURX 7900 XTXAMD · 24 GB · RDNA 3

same 24 GB$1,13090.6 tok/s

About as fast, same 24 GBRTX 3090NVIDIA · 24 GB · Ampere

same 24 GB$1,499rent $0.19/hr95.7 tok/s

As fast, 16 GBRTX 5080NVIDIA · 16 GB · Blackwell

▼ 8 GB$1,690rent $0.21/hr98.1 tok/s

About as fast, same 24 GBRTX 3090 TiNVIDIA · 24 GB · Ampere

same 24 GB$1,999rent $0.32/hr103 tok/s

RTX 5090 Laptop GPU tokens per second by model size

Output speed depends on memory bandwidth (896 GB/s). Grey rows need more than 24 GB.

9BQwen3.5 9B · Q4_K_M · 6.6 GB
91.6tok/s
14BQwen3 14B · Q4_K_M · 11.9 GB
61.3tok/s
27–31BQwen3.8 27B · Q4_K_M · 17.9 GB
33.4tok/s
35B MoEQwen3.6 35B A3B · Q4_K_M · 22.0 GB
139tok/s
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 1141 models on the RTX 5090 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 5090 Laptop GPU — ranked by Score, recency and Fit
Model	Quant	VRAM	Speed	Context	Fit
Cosmos Reason2 2B2.4BVisionChatReasoningFunctions Q4_K_M·361.7 t/s	Q4_K_M	3.5 GB14%	361.7 t/s	—	S100, Runs great
JiRackUltra 14B14.8BChatFunctions Q4_K_M·60.9 t/s	Q4_K_M	12.4 GB52%	60.9 t/s	131K	A84, Runs well
Intern Decision 4B4.5BVisionFunctions Q4_K_M·182.6 t/s	Q4_K_M	3.4 GB14%	182.6 t/s	262K	S99, Runs great
Llm Jp 4.1 32B A3b Thinking32.1BChatFunctions Q4_K_M·173.1 t/s	Q4_K_M	20.1 GB84%	173.1 t/s	66K	S93, Runs great
Ornith 1.0 9B9.4BChatFunctions Q4_K_M·93.8 t/s	Q4_K_M	6.5 GB27%	93.8 t/s	262K	S90, Runs great
DeepSeek R1 0528 Qwen3 8B8.2BChatReasoningFunctions Q4_K_M·105.5 t/s	Q4_K_M	7.6 GB32%	105.5 t/s	131K	S92, Runs great
Holo4 35B A3B35.1BVisionFunctions Q4_K_M·158.9 t/s	Q4_K_M	21.5 GB90%	158.9 t/s	262K	A83, Runs well
MinerU2.5 Pro 2604 1.2B1.2BVision Q4_K_M·571.0 t/s	Q4_K_M	1.1 GB5%	571.0 t/s	8K	S100, Runs great
ALoDLM 8B8.2BChatCodeFunctions Q4_K_M·105.5 t/s	Q4_K_M	7.6 GB32%	105.5 t/s	41K	S92, Runs great
Intern Decision 0.8B853MVisionFunctions Q4_K_M·677.2 t/s	Q4_K_M	0.9 GB4%	677.2 t/s	262K	S100, Runs great
MiniCPM5 2B DSpark324MChat Q4_K_M·1164.8 t/s	Q4_K_M	0.6 GB2%	1164.8 t/s	131K	S100, Runs great
ZDTaichu5.0 9B9.8BVisionFunctions Q4_K_M·90.2 t/s	Q4_K_M	9.2 GB38%	90.2 t/s	—	S90, Runs great
Wald 26B A4B25.8BChatReasoningFunctions Q4_K_M·157.1 t/s	Q4_K_M	16.5 GB69%	157.1 t/s	262K	S97, Runs great
Qwen3.5 2B2.3BVisionFunctions Q4_K_M·329.0 t/s	Q4_K_M	1.9 GB8%	329.0 t/s	262K	S100, Runs great
Granite Switch 4.1 8B8.8BChatFunctions Q4_K_M·98.4 t/s	Q4_K_M	8.4 GB35%	98.4 t/s	131K	S91, Runs great

RTX 5090 Laptop GPU specs, power and PSU

Specs

Architecture: Blackwell
VRAM: 24 GB GDDR7
Memory bandwidth: 896.0 GB/s
FP16 (dense): 90.70 TFLOPS
CUDA cores: 10,496
Tensor cores: 328
Compute capability: 12.0
TDP: 150 W
Released: 2025-03-01

RTX 5090 Laptop GPU FAQ

What is the largest model the RTX 5090 Laptop GPU can run?

Qwen3.6 35B A3B (36.0B) is the largest at 4-bit or better: at Q4_K_M it uses 22.0 GB of 24 GB, and runs at about 139 tok/s.

Can the RTX 5090 Laptop GPU run Qwen3.8 27B?

Yes. Qwen3.8 27B fits at Q4_K_M, using 17.9 GB of 24 GB, and it is the best model that runs well on this card.

Can the RTX 5090 Laptop GPU run 70B models?

No. Llama 3.3 70B Instruct needs 51.3 GB at Q4, more than the 24 GB on this card.

How many tokens per second does the RTX 5090 Laptop GPU give?

About 33.4 tok/s on Qwen3.8 27B at Q4_K_M, with the first token after 5.6 s on a 4K-token prompt.

What power supply does the RTX 5090 Laptop GPU need?

Plan a 300 W PSU (2× the 150 W TDP).

Is 24 GB enough for coding and agents?

Yes for coding: Qwen3.8 27B, the best of the 9 coding models that fit, runs at about 33 tok/s. For agents, not yet: no agent-scored model fits in less than 96 GB.

Is renting cheaper than buying an RTX 5090 Laptop GPU?

An H100 (80 GB) rents from $2.20/hr. With regular daily use, owning pays off.

Best coding LLMs 24 GB VRAM 48 GB VRAM GPUs with 24 GB or more RTX 5090 RTX 4090