GPU comparison · live prices

H100 vs RTX PRO 6000: price per hour and cost per token

The default for serving 70B-class models: one node of 8 fits Llama 3.1 405B in FP8. Blackwell workstation and server card: more memory than an H100, usually for less per hour, but no NVLink, so best when a model fits on one.

Prices observed 12m ago · refreshed every 15 minutes

NVIDIA H100NVIDIA RTX PRO 6000
Memory80 GB HBM396 GB GDDR7
Memory bandwidth3.35 TB/s1.8 TB/s
Cheapest on-demandper GPU-hour $2.20Vast.ai$1.00Vast.ai
Cheapest spotper GPU-hour $1.00Nebius · availability not published$1.00Nebius · availability not published
Providers in stock43

Per GPU-hour on demand, the RTX PRO 6000 costs 0.45× the H100. Per token, that depends on the model:

Cost per 1M output tokens

Cheapest on-demand offer, GPUs per replica to fit the model, 60% average utilization.

H100 is cheaper per token for 2 of these models and RTX PRO 6000 for 3: it depends on model size.

ModelH100RTX PRO 6000
Llama 3.1 8BBF16 $0.18 1× GPUs · ~5,025 tok/s $0.17 1× GPUs · ~2,688 tok/s
Qwen 2.5 32BFP8 $0.37 1× GPUs · ~2,474 tok/s $0.35 1× GPUs · ~1,323 tok/s
Llama 3.3 70BFP8 $0.81 2× GPUs · ~2,278 tok/s $0.76 1× GPUs · ~609 tok/s
Mixtral 8x22BFP8 $0.45 4× GPUs · ~8,246 tok/s $0.70 2× GPUs · ~1,323 tok/s
Llama 3.1 405BFP8 $4.64 8× GPUs · ~1,588 tok/s $7.28 8× GPUs · ~510 tok/s
DeepSeek V3 (671B MoE)FP8 — Doesn’t fit on 8 — Doesn’t fit on 8

Estimates: tokens/s from memory bandwidth with batched serving, not a benchmark. Check each provider before you buy.

Price it for your own model

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