Editing a copy of RTX 5060 Ti 16GB entry box
Choose parts or a complete machine. Compatibility, the total and what it runs update as you go, and nothing is saved until you share it.
Compatibility: No problems found.Est. load 320 W of 750 W · spikes to 428 W
Best fit:gpt-oss 20BMXFP4at 32k, 52 tok/sest.
| Component | Selection | Price | Where | Actions |
|---|---|---|---|---|
| GPU | NVIDIA GeForce RTX 5060 Ti 16GB 16 GB · 448 GB/s · 180 W | £550 | Buy | |
| GPU 2optional | ||||
| CPU | AMD Ryzen 5 7600 AM5 · 6 cores · 24 PCIe lanes | £158 | Buy | |
| Motherboard | MSI MAG B650 Tomahawk WiFi AM5 · DDR5 · ATX | £180 | Buy | |
| Memory | Corsair Vengeance 32GB (2×16GB) DDR5-6000 32 GB · DDR5-6000 | £380 | Buy | |
| Storage | Crucial P3 Plus 1TB 1000 GB NVME | £180 | Buy | |
| Power supply | Corsair RM750e ATX 3.1 750W 750 W · ATX 3 | £84 | Buy | |
| Case | Corsair 4000D Airflow GPUs up to 360 mm | £63 | Buy | |
| Total | £1,595 | Prices checked 33 min ago | ||
Notes
- Note: Check the power connectors on the card you buy: this power supply has 1 12V-2x6 and 3 8-pin PCIe connectors.
- Note: Corsair 4000D Airflow fits graphics cards up to 360 mm: check the length of the card you buy.
What this build runs
The most precise quant that fits, for every model in the catalogue. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @32k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| gpt-oss 20B OpenAI | MXFP4 | fits | 12.9 GB | 116k128k with q8 cache | 52tok/sest. | 1818 tok/s | chat, coding, agents, long documents |
| Gemma 4 12B | Q8_0 | fits | 13.5 GB | 120k193k with q8 cache | 21tok/sest. | 791 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 10.8 GB | 155k256k with q8 cache | 26tok/sest. | 986 tok/s | chat, coding, long documents |
| Qwen3 14B Alibaba Qwen | Q4_K_M | fits | 14.3 GB | 38k40k with q8 cache | 19tok/sest. | 492 tok/s | chat |
| Ministral 3 14B Mistral AI | Q5_K_M | fits | 14.8 GB | 35k64k with q8 cache | 19tok/sest. | 548 tok/s | chat |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 13.5 GB | 44k81k with q8 cache | 21tok/sest. | 812 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 13.5 GB | 40k | 21tok/sest. | 812 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 6.1 GB | 256k | 50tok/sest. | 1844 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 13.5 GB | 45k82k with q8 cache | 20tok/sest. | 784 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q8_0 | fits | 14.6 GB | 36k67k with q8 cache | 19tok/sest. | 747 tok/s | chat |
£1,595
No problems found