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AI Choice Engine

GPU comparison

Radeon RX 7900 XTX vs GeForce RTX 3090

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.

Radeon RX 7900 XTX

AMD

Radeon RX 7900 XTX

24GB VRAM · 960 GB/s

vs
GeForce RTX 3090

NVIDIA

GeForce RTX 3090

24GB VRAM · 936 GB/s

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GPU specification, memory, bandwidth, and price comparison
SpecificationRadeon RX 7900 XTXGeForce RTX 3090
VendorAMDNVIDIA
Memory24GB24GB
Usable for a model24GB24GB
Bandwidth960 GB/s936 GB/s
Segmentconsumerconsumer
ReleasedDecember 13, 2022September 24, 2020
Launch MSRP~$999~£740~$1,499~£1,110
NotesAMD specifies 24GB GDDR6 and up to 960GB/s memory bandwidth; the separate cache-based effective bandwidth figure is not substituted here. Launch notice lists December 13, 2022 availability at a $999 suggested e-tail price. Current production status and stock 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 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.
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
ModelRadeon RX 7900 XTX (est.)GeForce RTX 3090 (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

Radeon RX 7900 XTX vs GeForce RTX 3090

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

Which costs less at launch MSRP, Radeon RX 7900 XTX or GeForce RTX 3090?
Radeon RX 7900 XTX launched lower at ~$999 against ~$1499 for GeForce RTX 3090. Launch MSRP is an anchor, not a live price.
Which is better for high-refresh gaming, Radeon RX 7900 XTX or GeForce RTX 3090?
Neither has a clear edge on paper — 960 GB/s against 936 GB/s is too close to call from specs alone. Compare dated game tests at your target resolution and verify VRAM (24GB usable on Radeon RX 7900 XTX, 24GB on GeForce RTX 3090).
For local inference only — which holds larger models, Radeon RX 7900 XTX or GeForce RTX 3090?
Neither — both have 24GB usable and hold the same models at Q4. Decide on bandwidth and price instead.
For local inference only — is Radeon RX 7900 XTX or GeForce RTX 3090 faster at generating tokens?
Neither meaningfully — 960 GB/s against 936 GB/s is too close to notice. Token throughput will be similar once a model fits, so decide on memory capacity instead.
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 Radeon RX 7900 XTX and Qwen 3 32B on GeForce RTX 3090.

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.