RTX 4090 Laptop (16 GB VRAM, 32 GB RAM) — Local LLM Performance

RTX 4090 Laptop (16 GB VRAM, 32 GB RAM) is a Laptop running Windows or Linux, with 16 GB VRAM + 32 GB system RAM.

Specifications

Memory for models	16 GB
Memory bandwidth	717 GB/s
Memory upgradeable	Yes
Chip	NVIDIA GeForce RTX 4080
Architecture	Ada Lovelace AD103
Form factor	Laptop
Operating system	Windows or Linux
Released	2023
Llama 3.1 8B Q4_K_M	66–127 tok/s

Worth knowing before you buy

• A mobile RTX 4090 carries 16 GB, not the desktop card's 24 GB, and is closer to a desktop 4080 in throughput — which is why it is modelled against that chip here.
• Sustained throughput depends on the chassis power limit; thin laptops throttle well below the quoted figures.

Models on the RTX 4090 laptop

• Yi 1.5 Family — Yes — comfortably
• VibeThinker — Yes — comfortably
• Aya 3B (Tiny Aya) — Yes — comfortably
• StarCoder 2 — Yes
• SmolLM3 — Yes — comfortably
• SmolLM2 — Yes — comfortably
• Qwen3-Coder — Yes — comfortably
• Qwen3.8 — Yes
• Qwen 3.7 — Yes
• Qwen 3.6 — Yes
• Qwen 3.5 — Yes — comfortably
• Qwen 3 — Yes
• Qwen 2.5 VL — Yes — comfortably
• Qwen 2.5 Family — Yes
• Poolside Laguna XS 2.1 — Yes
• Phi-4 Mini — Yes — comfortably
• Phi-4 Family — Yes
• Phi 3.5 Family — Yes — comfortably
• OLMo 2 — Yes, but it is tight
• Nemotron Cascade 2 — Yes, but it is tight
• Nemotron 3 Nano Omni — Yes, but it is tight
• Mistral Small 3.1 — Yes
• Mistral Small 3.2 — Yes
• Mistral Family — Yes, but it is tight
• Ministral — Yes — comfortably
• Ministral 3 — Yes
• Magistral Small — Yes
• Llama 3.2 Vision — Yes
• Llama 3.2 Family — Yes
• Llama 3.1 Family — Yes — comfortably
• InternLM 3 — Yes, but it is tight
• IBM Granite 4.0 — Yes
• IBM Granite 4.1 — Yes — comfortably
• Granite 3.0 — Yes — comfortably
• GPT-OSS — Yes
• GLM-6 — Yes — comfortably
• GLM-5 / GLM-5.1 — Yes — comfortably
• GLM-4.7 / GLM-Z1 — Yes — comfortably
• Gemma 4 — Yes, but it is tight
• Gemma 3n — Yes — comfortably
• Gemma 3 — Yes
• Gemma 2 Family — Yes
• Falcon 3 — Yes
• EXAONE 3.5 — Yes — comfortably
• Devstral — Yes, but it is tight
• DeepSeek R1 — Yes
• Cosmos 3 — Yes, but it is tight
• Cogito v1 — Yes
• Codestral — Yes
• Bonsai 27B — Yes
• BitNet b1.58 — Yes — comfortably
• Aya Expanse — Yes — comfortably

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