This is the single-page summary of every realistic alternative to the RTX 5060 Ti 16GB on our UK dedicated hosting – what each trades, where each wins, and a decision tree for picking fast.
Contents
Spec comparison
| Card | Arch | VRAM | Bandwidth | FP8 | TDP |
|---|---|---|---|---|---|
| RTX 4060 Ti 16GB | Ada | 16 GB GDDR6 | 288 GB/s | No (FP16 only) | 165 W |
| RTX 3090 | Ampere | 24 GB GDDR6X | 936 GB/s | No | 350 W |
| RTX 5060 Ti 16GB | Blackwell | 16 GB GDDR7 | 448 GB/s | Yes (5th-gen) | 180 W |
| RTX 5080 | Blackwell | 16 GB GDDR7 | 960 GB/s | Yes | 360 W |
| RTX 5090 | Blackwell | 32 GB GDDR7 | 1,792 GB/s | Yes | 575 W |
| RTX 6000 Pro Blackwell | Blackwell | 96 GB GDDR7 ECC | 1,792 GB/s | Yes | 600 W |
Performance at key workloads
| Workload | 4060 Ti | 3090 | 5060 Ti | 5080 | 5090 | 6000 Pro |
|---|---|---|---|---|---|---|
| Llama 3.1 8B FP8 batch 1 t/s | ~52 (FP16) | ~95 (FP16) | 112 | ~165 | ~230 | ~230 |
| Llama 3.1 8B aggregate t/s batch 32 | ~320 | ~580 | 720 | ~1,100 | ~1,600 | ~1,650 |
| Qwen 2.5 14B AWQ t/s | ~38 | ~58 | 70 | ~105 | ~140 | ~140 |
| Llama 70B | No | INT4 tight | No (too big) | No | INT4 OK | FP8/AWQ comfortable |
| SDXL 1024 s/image | ~5.8 | ~4.2 | 3-4 | ~2.2 | ~1.4 | ~1.4 |
| FLUX.1-schnell 4-step s | ~4.1 | ~3.0 | 2.4 | ~1.5 | ~0.9 | ~0.9 |
| Whisper Turbo RTF | 35x | 48x | 55x | 85x | 120x | 120x |
| Tokens/watt (Llama 8B) | ~1.9 | ~1.7 | 4.6 | ~4.6 | ~4.0 | ~3.9 |
Monthly cost per card
| Card | Relative monthly cost | Best for |
|---|---|---|
| 4060 Ti 16GB | ~0.75x | Tightest budget, FP16-only workloads |
| RTX 3090 | ~0.9x | Need 24GB VRAM on a budget, Ampere stack |
| RTX 5060 Ti 16GB | 1x baseline | Default 7-14B FP8 workloads |
| RTX 5080 | ~2.1x | Need 2x throughput same VRAM |
| RTX 5090 | ~3x | Need 32GB or 70B INT4 |
| RTX 6000 Pro | ~4-5x | 70B FP8 / multi-model / ECC |
Decision tree
- Model fits in 16GB and needs FP8? 5060 Ti – best per-£.
- Need >16GB but budget tight? 3090 24GB.
- Need 2x throughput, same 16GB ceiling? 5080.
- Running 70B quantised? 5090 32GB.
- Running 70B FP8 or multiple large models? RTX 6000 Pro 96GB.
- Legacy FP16 stack with strict budget? 4060 Ti.
Verdict
For most 7-14B FP8 inference workloads in 2026, the 5060 Ti 16GB is the default. The alternatives win only when specific constraints – VRAM capacity, raw throughput, or legacy tooling – override the cost-per-token economics. See our vs 3090 benchmark and vs 5080 benchmark for head-to-head numbers.
The sensible default for 2026
Blackwell 16GB FP8 hits the sweet spot of price, performance and efficiency. UK dedicated hosting.
Order the RTX 5060 Ti 16GBSee also: vs 3090, vs 5080, upgrade to 5090, upgrade to 6000 Pro, when to upgrade.
