Autor: Jakub Rusinowski · Ostatnia aktualizacja: 8 lipca 2026
Yes, comfortably — you'll have ~8.5 GB of headroom running Qwen3-Coder 80B-A3B (MoE) at Q4_K_M (7.5 GB, ~400 tok/s (est.)).
Sprawdź cenę na Amazon — NVIDIA GeForce RTX 4060 Ti 16GB
| VRAM | 16 GB |
| Memory Bandwidth | 288 GB/s |
| Quant | VRAM needed | Fits 16 GB? | Max context |
|---|---|---|---|
| F16 | 186.4 GB | ✗ No | — |
| Q8_0 | 111.4 GB | ✗ No | — |
| Q6_K | 92 GB | ✗ No | — |
| Q5_K_M | 83.1 GB | ✗ No | — |
| Q4_K_M | 74.7 GB | ✗ No | — |
| Q3_K_M | 60.5 GB | ✗ No | — |
| Q2_K | 52.7 GB | ✗ No | — |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 16 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| Qwen3-Coder 80B-A3B (MoE) | Q4_K_M · 7.5 GB · ~400 tok/s (est.) |
| Qwen3-Coder 8B | Q4_K_M · 5.5 GB · ~52 tok/s (est.) |
At 2 hrs/day, buying (~$499) beats renting at $0.34/hr after about 2.0 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Yes, comfortably — you'll have ~8.5 GB of headroom running Qwen3-Coder 80B-A3B (MoE) at Q4_K_M (7.5 GB, ~400 tok/s (est.)).
Qwen3-Coder 80B-A3B (MoE) at Q4_K_M quantization (7.5 GB), estimated ~400 tokens/sec.
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