Both the RTX 5060 Ti 16GB and RTX 5080 ship Blackwell silicon with 16 GB of GDDR7. The 5080 is roughly twice the card on compute and bandwidth. On our dedicated GPU hosting it also costs roughly 2.5x the monthly price. When does the cheaper card win? Here is the full breakdown.
Contents
- Spec comparison
- Throughput delta
- Per-request latency
- Pounds per token
- Concurrency ceiling
- When each wins
Specs Side by Side
| Spec | 5060 Ti 16GB | 5080 | Delta |
|---|---|---|---|
| VRAM | 16 GB GDDR7 | 16 GB GDDR7 | Same |
| Memory bandwidth | ~448 GB/s | ~960 GB/s | +114% |
| Memory bus width | 128-bit | 256-bit | 2x |
| CUDA cores | ~4,608 | ~10,752 | +133% |
| FP16 TFLOPS (tensor) | ~200 | ~450 | +125% |
| FP8 TFLOPS (tensor) | ~400 | ~900 | +125% |
| TDP | 180 W | 360 W | +100% |
| Relative monthly cost | Mid tier | ~2.5x | – |
The 5080 is essentially the 5060 Ti scaled up by roughly 2x on every compute axis at 2x the TDP and 2.5x the cost.
Throughput Delta
Measured on identical models, vLLM FP8 serving, 512/256 input/output:
| Model | 5060 Ti batch 1 | 5080 batch 1 | 5060 Ti batch 16 | 5080 batch 16 |
|---|---|---|---|---|
| Llama 3 8B FP8 | ~105 t/s | ~180 t/s | ~820 agg | ~1,450 agg |
| Mistral 7B FP8 | ~110 t/s | ~195 t/s | ~650 agg | ~1,200 agg |
| Qwen 2.5 14B AWQ | ~44 t/s | ~78 t/s | ~380 agg | ~650 agg |
| Gemma 2 9B FP8 | ~78 t/s | ~135 t/s | ~480 agg | ~820 agg |
The 5080 is 70-80% faster on decode per request and ~80% higher aggregate at batch 16. Pattern is consistent across models.
Per-Request Latency
For interactive chat, per-request latency is the metric users feel. On Llama 3 8B FP8 with a 1k prompt:
- 5060 Ti TTFT p50: ~190 ms, p99: ~520 ms
- 5080 TTFT p50: ~110 ms, p99: ~310 ms
The 5080 shaves ~40-50% off perceived latency. For sub-second TTFT targets at p99, the 5080 gives more headroom.
Pounds Per Token
If the 5080 costs 2.5x the 5060 Ti monthly and delivers 75% more throughput, the 5060 Ti wins on pounds per token. At the same monthly budget, two 5060 Ti replicas deliver more aggregate throughput than one 5080. A practical comparison for serving a 7-13B model:
- 1× 5080: ~1,450 t/s aggregate, £900/month
- 2× 5060 Ti: ~1,640 t/s aggregate, £600/month
The multi-card 5060 Ti strategy wins on both cost and aggregate throughput – as long as the model fits on one 16 GB card.
Concurrency Ceiling
Per card, the 5080 handles more concurrent users before KV cache pressure or thermal limits bite:
- Llama 3 8B FP8, 5060 Ti: 14-16 concurrent chat users at production SLA
- Llama 3 8B FP8, 5080: 28-32 concurrent
For single-endpoint deployments that cannot load-balance (legacy reasons), the 5080 pushes further per replica.
When Each Wins
Pick the 5060 Ti when:
- Budget efficiency matters more than raw per-replica speed
- You can run two replicas behind a load balancer
- You are starting out and want to test the economics
- Power density matters (4 cards in a chassis at 180 W vs 360 W)
Pick the 5080 when:
- Single-replica latency is the critical SLA
- You serve SDXL or FLUX image generation where compute TFLOPS dominate
- You need 25+ concurrent users on one endpoint
- You have headroom in the budget and prefer simpler single-card operations
Mid-Tier Blackwell 16GB
Most of the 5080’s benefits for mid-tier AI workloads at under half the monthly cost.
Order the RTX 5060 Ti 16GBSee also: 5060 Ti vs 4060 Ti, 5080 vs 5090, 5060 Ti or 5080 decision.
