GPU · 7 min read

RTX 5090 vs RTX 4090 for local AI: which to choose in 2026?

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Damien · LocalIA
Published 2026-06-05

The calm matchup from the angle that matters: which models run, at what throughput, for what price. VRAM (32 vs 24 GB), GDDR7 bandwidth, a models table, and the verdict by profile.

LocalIA AI rig

For local AI in 2026, the RTX 5090 (32 GB) beats the RTX 4090 (24 GB) on the one metric that matters most: VRAM. Those 8 extra gigabytes unlock models the 4090 cannot hold, such as Llama 70B in Q3. But if your models already fit in 24 GB, a used RTX 4090 remains the best value per euro.

Key numbers

VRAM24 GB GDDR6X32 GB GDDR7
Memory bandwidth~1,008 GB/s~1,792 GB/s
TDP450 W575 W
Indicative new price 2026~EUR 1,600-1,900~EUR 2,200-2,700

The number that changes everything

The RTX 5090 has about 78% more memory bandwidth thanks to GDDR7. LLM inference is memory-bound: tokens per second depend far more on bandwidth than on raw compute. That, plus the 8 extra gigabytes, is where the 5090 pulls ahead.

Which models run on each

Mistral 7B / Llama 8BFP16 yesFP16 yes
Qwen 32B / Gemma 31BQ4 yes, Q5 tightQ5 yes, Q6 yes
Llama 3.3 70B / Qwen 72BQ3 very tightQ3 yes (Q4 out of reach)
Llama 4 Scout 109B (MoE)Too bigNeeds two cards

Throughput and value

On a model that fits both cards, the RTX 5090 delivers roughly 40 to 70% more tokens per second. The gap is most visible on multi-request use and long contexts.

The used RTX 4090 (around EUR 1,100-1,400) stays the best value if your models fit in 24 GB, you run solo or in a small team, and you do not need the 70B tier. The 5090 is worth it for 70B on a single card, long context, or serving several users.

  • Solo dev, models up to 32B: used RTX 4090 — unbeatable value.
  • You want Llama 70B on one card: RTX 5090 — the 4090 cannot follow.
  • Multi-user or long context: RTX 5090 — the GDDR7 bandwidth pays off.
  • 100B+ models: multi-GPU (NVLink) — neither card alone.
Enter your card and target model in the LocalIA GPU to LLM calculator: it tells you whether it fits, at which quantization, with estimated VRAM and throughput, across 200+ GPUs. Free, no signup. LocalIA is an independent resource and sells nothing.

Open the calculator / ask us for advice with your target model, users and constraints.

Frequently asked questions

RTX 5090 or RTX 4090 for local AI?+
The RTX 5090 (32 GB) unlocks models the 4090 (24 GB) cannot hold, such as Llama 70B in Q3, and delivers ~40-70% more tokens/second thanks to GDDR7. If your models already fit in 24 GB, a used RTX 4090 stays the best value for money.
What is the VRAM difference between RTX 4090 and RTX 5090?+
24 GB (GDDR6X) on the 4090 versus 32 GB (GDDR7) on the 5090. Those 8 extra GB, plus ~78% higher memory bandwidth, are the 5090's real advantages for LLM inference (which is memory-bound).
Can you run Llama 70B on an RTX 4090?+
Just barely, in Q3 and with little context — it is tight on 24 GB. The RTX 5090 (32 GB) holds Llama 3.3 70B in Q3 more comfortably. For Q4/Q5 you need multi-GPU.
Are two RTX 4090s better than one RTX 5090?+
2x RTX 4090 = 48 GB combined, more than the 5090, but without NVLink the multi-GPU link goes over PCIe, slower on very large models. For a 70B, a single RTX 5090 is often smoother than a pair of 4090s on PCIe.
Is the RTX 5090 worth its price for local AI?+
Yes if you want Llama 70B on a single card, lots of context, or more throughput to serve several users. No if your models fit in 24 GB: a used RTX 4090 then stays unbeatable on value.
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