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Can an RTX 5060 Ti 16 GB run Qwen3 Coder 30B?

Qwen3-Coder-30B-A3B is a mixture-of-experts model (3.3B active). We don't yet have a sourced Q4 file size for it, so we use Qwen3-30B-A3B (same architecture size) as a proxy below.

No — it does not fit. Qwen3-30B-A3B is 18.63 GB at Q4_K_M (source) and needs about 20.1 GB, more than the 16 GB on the NVIDIA GeForce RTX 5060 Ti 16 GB. Cheapest priced GPU that does fit it: the AMD Radeon RX 7900 XTX at $1,350, ~362 tok/s estimate.

SpecGeForce RTX 5060 Ti 16 GB
Memory16 GB GDDR7
Bandwidth448 GB/s
Low pricelow $780, avg $1,146 (new) source, 2026-10-15
Mistral-Small-3.2-24B-Instruct-2506 estimate~24 tok/s
$ per tok/s (Mistral-Small-3.2-24B-Instruct-2506)$33
Models that fit17 of 27
Largest that fitsMistral-Small-3.2-24B-Instruct-2506

Last updated Oct 16, 2026. Speeds are bandwidth-based estimates, not benchmarks. Prices are dated snapshots and move daily; "check price" means we have no verified price.

What each one runs, model by model

Model (Q4_K_M)FileGeForce RTX 5060 Ti 16 GB estimate
Qwen3-30B-A3B18.63 GBdoesn't fit
Mistral-Small-3.2-24B-Instruct-250614.33 GB~24 tok/s
Devstral-Small-250514.33 GB~24 tok/s
gpt-oss-20b11.67 GB~169 tok/s
Qwen3-14B9 GB~38 tok/s
Qwen2.5-Coder-14B-Instruct8.99 GB~38 tok/s
DeepSeek-R1-Distill-Qwen-14B8.99 GB~38 tok/s
Mistral-Nemo-Instruct-24077.48 GB~46 tok/s
gemma-3-12b-it7.3 GB~47 tok/s
NVIDIA-Nemotron-Nano-9B-v26.53 GB~52 tok/s
Qwen3-8B5.03 GB~68 tok/s
Llama-3.1-8B-Instruct4.92 GB~69 tok/s
Qwen2.5-Coder-7B-Instruct4.68 GB~73 tok/s
Mistral-7B-Instruct-v0.34.37 GB~78 tok/s
Qwen3-4B2.5 GB~136 tok/s
gemma-3-4b-it2.49 GB~137 tok/s
Llama-3.2-3B-Instruct2.02 GB~169 tok/s
Qwen3-0.6B0.48 GB~709 tok/s

File sizes are Q4_K_M GGUFs from Hugging Face (linked on each model page), accessed 2026-10-15. A model fits when its file plus 1.5 GB of headroom is at most the card's memory.

Priced GPUs that fit Qwen3-30B-A3B, cheapest first

GPUVRAMSpeed estimateLow price$ per tok/s
AMD Radeon RX 7900 XTX24 GB~362 tok/slow $1,350, avg $1,552 (new) source, 2026-10-15$4
NVIDIA GeForce RTX 309024 GB~353 tok/slow $1,889, avg $2,404 (used) source, 2026-10-15$5
NVIDIA GeForce RTX 409024 GB~381 tok/slow $3,200, avg $4,663 (used) source, 2026-10-15$8
NVIDIA GeForce RTX 509032 GB~676 tok/slow $6,500, avg $8,757 (new) source, 2026-10-15$10

Speed calculator estimate

Estimate = 0.76 × bandwidth ÷ GB read per token (Q4 file size, scaled by active/total parameters for MoE). Fit = file size + 1.5 GB headroom ≤ total VRAM. Multi-GPU: VRAM adds, speed uses one card's bandwidth (layer split). Short context only. How this works

Questions people ask

Does Qwen3-30B-A3B fit on the GeForce RTX 5060 Ti 16 GB?

No. Qwen3-30B-A3B is 18.63 GB at Q4_K_M and needs about 20.1 GB of VRAM with our 1.5 GB headroom allowance, more than the 16 GB on the NVIDIA GeForce RTX 5060 Ti 16 GB. The cheapest priced GPU that does fit it is the AMD Radeon RX 7900 XTX at $1,350, at an estimated 362 tok/s.

How fast is the GeForce RTX 5060 Ti 16 GB on a model that does fit?

The largest model in our data that fits its 16 GB is Mistral-Small-3.2-24B-Instruct-2506 (14.33 GB at Q4_K_M), estimated at about 24 tok/s from 448 GB/s of bandwidth, or about $33 per tok/s at its $780 (new) price.

What can the GeForce RTX 5060 Ti 16 GB run?

GeForce RTX 5060 Ti 16 GB (16 GB): 17 of our 27 sized models, largest Mistral-Small-3.2-24B-Instruct-2506 at 14.33 GB.

Does the mixture-of-experts design change the answer?

Not for the fit: the whole 18.63 GB file has to be in memory even though only 3.3B of 30.53B parameters are active per token. It does change the speed estimate, which uses 2.01 GB read per token instead of 18.63 GB — that is why the estimate on a card that fits it is about 362 tok/s rather than single digits.

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