Models · Qwen · live prices

Qwen 2.5 14B: GPUs needed and cost to self-host

14.7B parameters. In BF16 that is about 35 GB with room for the KV cache.

Memory, BF16

35 GB

weights + ~20%

Cheapest per 1M output tokens

$0.09

1× A100 · on-demand · 60% utilization

Hosted API, sample list price

$0.30

per 1M output tokens

Cost per 1M output tokens, BF16

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

  1. A10080 GB 1× on Vast.ai · on-demand · $0.34/hr · ~1,664 tok/s $0.09per 1M out
  2. H200141 GB 1× on Vast.ai · on-demand · $1.32/hr · ~3,918 tok/s $0.16per 1M out
  3. 509032 GB 2× on Vast.ai · on-demand · $0.92/hr · ~1,755 tok/s $0.24per 1M out
  4. 409024 GB 2× on Vast.ai · on-demand · $0.62/hr · ~987 tok/s $0.29per 1M out
  5. RTX PRO 600096 GB 1× on Vast.ai · on-demand · $1.00/hr · ~1,463 tok/s $0.32per 1M out
  6. H10080 GB 1× on RunPod · community · $1.99/hr · ~2,735 tok/s $0.34per 1M out
  7. B300288 GB 1× on RunPod · community · $6.94/hr · ~6,531 tok/s $0.49per 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.

GPUBF1635 GBFP818 GBINT49 GB
H10080 GB 1×1×1×
H200141 GB 1×1×1×
B300288 GB 1×1×1×
A10080 GB 1×1×1×
RTX PRO 600096 GB 1×1×1×
509032 GB 2×1×1×
409024 GB 2×1×1×

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