Models · Meta · live prices

Llama 3.3 70B: GPUs needed and cost to self-host

70.6B parameters. In FP8 that is about 85 GB with room for the KV cache.

Memory, FP8

85 GB

weights + ~20%

Cheapest per 1M output tokens

$0.22

2× A100 · on-demand · 60% utilization

Hosted API, sample list price

$0.88

per 1M output tokens

Cost per 1M output tokens, FP8

Prices observed 12m ago. Cheapest on-demand offer per GPU, whole instances, 60% average utilization.

  1. A10080 GB 2× on Vast.ai · on-demand · $0.67/hr · ~1,386 tok/s $0.22per 1M out
  2. H200141 GB 1× on Vast.ai · on-demand · $1.32/hr · ~1,632 tok/s $0.37per 1M out
  3. 509032 GB 4× on Vast.ai · on-demand · $1.83/hr · ~1,462 tok/s $0.58per 1M out
  4. 409024 GB 4× on Vast.ai · on-demand · $1.24/hr · ~822 tok/s $0.70per 1M out
  5. RTX PRO 600096 GB 1× on Vast.ai · on-demand · $1.00/hr · ~609 tok/s $0.76per 1M out
  6. H10080 GB 2× on RunPod · community · $3.98/hr · ~2,278 tok/s $0.81per 1M out
  7. B300288 GB 1× on RunPod · community · $6.94/hr · ~2,720 tok/s $1.18per 1M out

The tick marks the sample hosted-API price. Estimates: tokens/s from memory bandwidth with batched serving, not a benchmark. Idle hours still bill, so lower utilization means pricier tokens.

GPUs per replica by precision

One node, split 1, 2, 4 or 8 ways; 90% of VRAM usable.

GPUBF16169 GBFP885 GBINT442 GB
H10080 GB 4×2×1×
H200141 GB 2×1×1×
B300288 GB 1×1×1×
A10080 GB 4×2×1×
RTX PRO 600096 GB 2×1×1×
509032 GB 8×4×2×
409024 GB 8×4×2×

Run the numbers for your workload

Plan capacity for your traffic Token cost with spot and your utilization API vs your own GPUs at your volume