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Business Outcome Intelligence

What Does It Actually Cost?

Move beyond TFLOPS. Real deployment costs, ROI comparisons, cluster sizing, scaling economics — and a business case you can share with your team.

Monthly bill & cost per 1M tokens at your request volume

Model

Requests/day — 10,000

Tokens/request — 500

GPU Utilization — 70%

Filter:19 GPUs shown
💡

RTX 4090 is cheapest at this scale — saves $5,884/mo ($70,606/yr) vs the most expensive option.

GPUGPUsMonthly CostPer 1M TokensUtilization
Best
RTX 4090
1×$321$2.14
3%
L40S
1×$876$5.84
1%
TPU v5eGCP only · JAX/XLA · Inference optimized
1×$876$5.84
2%
A100 80GB
1×$1,161$7.74
2%
MI250X
1×$1,314$8.76
2%
TPU v6e (Trillium)GCP only · JAX/XLA · Trillium gen
1×$1,438$9.59
2%
Gaudi 3 96GBIntel Developer Cloud · SynapseAI · AWS EC2 DL2q (limited)
1×$1,460$9.73
1%
TPU v4GCP only · JAX/XLA
1×$2,044$13.63
2%
MI300A
1×$2,190$14.60
1%
H100 SXM
1×$2,555$17.03
1%
MI300X
1×$2,913$19.42
1%
TPU v5pGCP only · JAX/XLA
1×$3,066$20.44
2%
H200 SXM
1×$3,285$21.90
1%
MI325X
1×$3,285$21.90
1%
MI350X
1×$3,504$23.36
1%
MI355X
1×$3,650$24.33
1%
B200 SXM
1×$4,745$31.63
1%
TPU v7 (Ironwood)GCP only · JAX/XLA · Ironwood · 9216-chip pods
1×$5,110$34.07
1%
B300 Ultra SXM
1×$6,205$41.37
0%

* NVIDIA/AMD: vLLM FP16 throughput. Google TPU: JAX/JetStream benchmarks (not directly comparable — different framework overhead). 730 hrs/month on-demand pricing. H300: estimated specs.

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