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AI Choice Engine

GPU comparison

GeForce RTX 3090 vs GeForce RTX 4090

Compared on the specs that decide a purchase: memory, bandwidth, power, and which workloads each card actually fits — gaming, creative, or local models when that is the job.

Specifications verified October 2, 2026. Launch MSRP is not today's price — in September 2026 the memory shortage pushed street prices 1.2×–3× above it; the notes row below carries a dated lowest UK/US price where we have one.

GeForce RTX 3090

NVIDIA

GeForce RTX 3090

24GB VRAM · 936 GB/s

vs
GeForce RTX 4090

NVIDIA

GeForce RTX 4090

24GB VRAM · 1008 GB/s

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GPU specification, memory, bandwidth, and price comparison
SpecificationGeForce RTX 3090GeForce RTX 4090
VendorNVIDIANVIDIA
Memory24GB24GB
Usable for a model24GB24GB
Bandwidth936 GB/sWinner: 1008 GB/s
Segmentconsumerconsumer
ReleasedSeptember 24, 2020October 12, 2022
Launch MSRP~$1,499~£1,110~$1,599~£1,184
Notes24GB GDDR6X and 936GB/s theoretical bandwidth. NVIDIA's September 2020 announcement lists September 24 availability at $1,499. Current production status, new stock and used-card pricing or condition are unverified. Local-model fit is a planning estimate; model files, context, cache, backend and driver support determine actual memory use and speed.24GB GDDR6X and 1008GB/s theoretical bandwidth. NVIDIA's launch notice lists October 12, 2022 availability starting at $1,599. Current production status, retailer stock and used prices are unverified here. Local-model fit is a planning estimate; model files, context, cache, backend and driver support determine actual memory use and speed.
UK street priceSearch Amazon (opens in new tab)Search Amazon (opens in new tab)

Local models

Estimated local-model fit

Planning estimates from published VRAM and a weights-plus-overhead heuristic. Context length, KV cache, quantization and runtime can change actual memory needs.

Local model fit comparison for both GPUs
ModelGeForce RTX 3090 (est.)GeForce RTX 4090 (est.)
Qwen 3 4B4B parametersEst. fitEst. fit
Qwen 3.8 27B27B parametersEst. fitEst. fit
Gemma 4 31B30.7B parametersEst. tightEst. tight
Llama 3.1 8B Instruct8B parametersEst. fitEst. fit
Qwen 3 14B14.8B parametersEst. fitEst. fit
Gemma 3 27B27B parametersEst. fitEst. fit
Qwen 3 30B-A3B30.5B parametersEst. tightEst. tight
Qwen 3 32B32.8B parametersEst. tightEst. tight
Llama 3.3 70B70B parametersEst. no fitEst. no fit
Muse Glimmer 30B29.6B parametersEst. tightEst. tight
Mixtral 8x22B141B parametersEst. no fitEst. no fit
Qwen 3 235B-A22B235B parametersEst. no fitEst. no fit
Qwen 3 Coder 480B-A35B480B parametersEst. no fitEst. no fit
DeepSeek V4-Flash284B parametersEst. no fitEst. no fit

Common questions

GeForce RTX 3090 vs GeForce RTX 4090

Answered from the verified figures on this page rather than general guidance.

Which costs less at launch MSRP, GeForce RTX 3090 or GeForce RTX 4090?
GeForce RTX 3090 launched lower at ~$1499 against ~$1599 for GeForce RTX 4090. Launch MSRP is an anchor, not a live price.
Which is better for high-refresh gaming, GeForce RTX 3090 or GeForce RTX 4090?
GeForce RTX 4090 has more memory bandwidth — 1008 GB/s against 936 GB/s. That usually helps high-refresh 1440p and 4K once VRAM is sufficient for your settings. Still verify with dated independent tests for the games you play.
For local inference only — which holds larger models, GeForce RTX 3090 or GeForce RTX 4090?
Neither — both have 24GB usable and hold the same models at Q4. Decide on bandwidth and price instead.
For local inference only — is GeForce RTX 3090 or GeForce RTX 4090 faster at generating tokens?
GeForce RTX 4090, at 1008 GB/s against 936 GB/s — roughly 1.1× the memory bandwidth. Bandwidth is the practical ceiling on token throughput once a model fits, but it only matters if the model fits in the first place.
For local inference only — can either run a 70B model?
Neither. A 70B model needs about 48GB at Q4 including overhead, above both cards. The largest that fits is Qwen 3 32B on GeForce RTX 3090 and Qwen 3 32B on GeForce RTX 4090.

If one card holds a model the other cannot, that capacity difference usually outweighs a bandwidth advantage. A model that spills to system memory can be substantially slower, but the actual impact depends on the backend, transfer path, context, and workload.