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AI Choice Engine

GPU comparison

GeForce RTX 5050 vs GeForce RTX 5060

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 5050

NVIDIA

GeForce RTX 5050

8GB VRAM · 320 GB/s

vs
GeForce RTX 5060

NVIDIA

GeForce RTX 5060

8GB VRAM · 448 GB/s

Amazon UK search links are provided for current availability; no affiliate programme is currently configured, and no live price is claimed here. Affiliate disclosure.

GPU specification, memory, bandwidth, and price comparison
SpecificationGeForce RTX 5050GeForce RTX 5060
VendorNVIDIANVIDIA
Memory8GB8GB
Usable for a model8GB8GB
Bandwidth320 GB/sWinner: 448 GB/s
Segmentconsumerconsumer
ReleasedNot verifiedUnverifiedMay 19, 2025
Launch MSRP~$249~£184~$299~£221
NotesDesktop variant with 8GB GDDR6. ASUS specifies 20Gbps on a 128-bit bus, yielding 320GB/s theoretical bandwidth. NVIDIA announced a $249 starting price and second-half-July 2025 availability; an exact shipment day is unverified here. Small quantized local models may fit; the laptop variant's GDDR7 specifications are separate. Local-model fit is a planning estimate; model files, context, cache, backend and driver support determine actual memory use and speed.8GB GDDR7; ASUS specifies 28Gbps on a 128-bit bus, yielding 448GB/s theoretical bandwidth. NVIDIA's launch notice lists May 19, 2025 availability starting at $299. Smaller quantized models may fit; use the site's estimate and check actual runtime memory. 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 5050 (est.)GeForce RTX 5060 (est.)
Qwen 3 4B4B parametersEst. fitEst. fit
Qwen 3.8 27B27B parametersEst. no fitEst. no fit
Gemma 4 31B30.7B parametersEst. no fitEst. no fit
Llama 3.1 8B Instruct8B parametersEst. fitEst. fit
Qwen 3 14B14.8B parametersEst. no fitEst. no fit
Gemma 3 27B27B parametersEst. no fitEst. no fit
Qwen 3 30B-A3B30.5B parametersEst. no fitEst. no fit
Qwen 3 32B32.8B parametersEst. no fitEst. no fit
Llama 3.3 70B70B parametersEst. no fitEst. no fit
Muse Glimmer 30B29.6B parametersEst. no fitEst. no fit
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 5050 vs GeForce RTX 5060

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

Which costs less at launch MSRP, GeForce RTX 5050 or GeForce RTX 5060?
GeForce RTX 5050 launched lower at ~$249 against ~$299 for GeForce RTX 5060. Launch MSRP is an anchor, not a live price.
Which is better for high-refresh gaming, GeForce RTX 5050 or GeForce RTX 5060?
GeForce RTX 5060 has more memory bandwidth — 448 GB/s against 320 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 5050 or GeForce RTX 5060?
Neither — both have 8GB usable and hold the same models at Q4. Decide on bandwidth and price instead.
For local inference only — is GeForce RTX 5050 or GeForce RTX 5060 faster at generating tokens?
GeForce RTX 5060, at 448 GB/s against 320 GB/s — roughly 1.4× 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 Llama 3.1 8B Instruct on GeForce RTX 5050 and Llama 3.1 8B Instruct on GeForce RTX 5060.

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.