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.

AMD
Radeon RX 7900 XTX
24GB VRAM · 960 GB/s

NVIDIA
GeForce RTX 3090
24GB VRAM · 936 GB/s
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| Specification | Radeon RX 7900 XTX | GeForce RTX 3090 |
|---|---|---|
| Vendor | ||
| Vendor | AMD | NVIDIA |
| Memory | ||
| Memory | 24GB | 24GB |
| Usable for a model | ||
| Usable for a model | 24GB | 24GB |
| Bandwidth | ||
| Bandwidth | 960 GB/s | 936 GB/s |
| Segment | ||
| Segment | consumer | consumer |
| Released | ||
| Released | December 13, 2022 | September 24, 2020 |
| Launch MSRP | ||
| Launch MSRP | ~$999~£740 | ~$1,499~£1,110 |
| Notes | ||
| Notes | AMD 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 price | ||
| UK street price | Search 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.
| Model | Radeon RX 7900 XTX (est.) | GeForce RTX 3090 (est.) |
|---|---|---|
| Qwen 3 4B4B parameters | ||
| Qwen 3 4B4B parameters | Est. fit | Est. fit |
| Qwen 3.8 27B27B parameters | ||
| Qwen 3.8 27B27B parameters | Est. fit | Est. fit |
| Gemma 4 31B30.7B parameters | ||
| Gemma 4 31B30.7B parameters | Est. tight | Est. tight |
| Llama 3.1 8B Instruct8B parameters | ||
| Llama 3.1 8B Instruct8B parameters | Est. fit | Est. fit |
| Qwen 3 14B14.8B parameters | ||
| Qwen 3 14B14.8B parameters | Est. fit | Est. fit |
| Gemma 3 27B27B parameters | ||
| Gemma 3 27B27B parameters | Est. fit | Est. fit |
| Qwen 3 30B-A3B30.5B parameters | ||
| Qwen 3 30B-A3B30.5B parameters | Est. tight | Est. tight |
| Qwen 3 32B32.8B parameters | ||
| Qwen 3 32B32.8B parameters | Est. tight | Est. tight |
| Llama 3.3 70B70B parameters | ||
| Llama 3.3 70B70B parameters | Est. no fit | Est. no fit |
| Muse Glimmer 30B29.6B parameters | ||
| Muse Glimmer 30B29.6B parameters | Est. tight | Est. tight |
| Mixtral 8x22B141B parameters | ||
| Mixtral 8x22B141B parameters | Est. no fit | Est. no fit |
| Qwen 3 235B-A22B235B parameters | ||
| Qwen 3 235B-A22B235B parameters | Est. no fit | Est. no fit |
| Qwen 3 Coder 480B-A35B480B parameters | ||
| Qwen 3 Coder 480B-A35B480B parameters | Est. no fit | Est. no fit |
| DeepSeek V4-Flash284B parameters | ||
| DeepSeek V4-Flash284B parameters | Est. no fit | Est. 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?
Which is better for high-refresh gaming, Radeon RX 7900 XTX or GeForce RTX 3090?
For local inference only — which holds larger models, Radeon RX 7900 XTX or GeForce RTX 3090?
For local inference only — is Radeon RX 7900 XTX or GeForce RTX 3090 faster at generating tokens?
For local inference only — can either run a 70B model?
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.