A B200 rents for 2–3.5× an H100. Per hour the H100 wins almost everything — but per token, a fully-utilised B200 can be cheaper. Here's the real comparison, dated.
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The H100 is the workhorse; the B200 is the new Blackwell flagship — and it rents for two to three-and-a-half times the price. As of our latest data (22 Sep 2026), an H100 starts around $1.73/hour on Vast.ai spot and $1.99/hour on RunPod on-demand, while a B200 runs about $5.98/hour on RunPod, with a median around $6.79 across providers and specialist clouds as low as ~$3.20–3.75. So is the B200 worth the premium? For most people, no — but there's one number that flips the answer, and it isn't the hourly rate. This is a spoke of our cloud-GPU pricing pillar.
The B200 is a Blackwell-generation card with about 192GB of HBM3e — more than double the H100's 80GB — and roughly two to two-and-a-half times the training/inference throughput depending on precision. Two things follow. First, memory: a B200 fits models on a single card that would need two H100s, which simplifies deployment and can cut multi-GPU overhead. Second, speed: it chews through tokens faster, which matters for high-throughput serving and large training runs. Neither of those helps if you're running an 8B model for an evening — an H100 (or less) is already overkill there.
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For most work, rent the H100 — from ~$1.73/hr
Unless you specifically need 192GB on one card or maximum throughput, the H100 is the value pick: Vast.ai spot from about $1.73/hr as of 22 Sep 2026, a fraction of a B200's hourly rate.
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The number that flips it: cost per token
Here's the honest nuance. If you rent a GPU and keep it busy, what you actually care about is cost per token (or per training step), not cost per hour. A B200 at ~$6/hour that does 2.5× the work of a ~$2/hour H100 costs roughly the same — or less — per unit of work, if you can saturate it. The catch is that word 'if': a single user rarely keeps a B200 fully fed, so its per-hour premium is mostly wasted idle capacity. B200 economics make sense for a high-traffic production endpoint or a serious training run that genuinely uses the throughput; for everything else, the H100's lower hourly rate wins because you can't fill the bigger card. This is educational cost guidance, not financial advice.
Need a B200 on-demand? RunPod lists it around $5.98/hr.Referral link
For most single-user workloads, no — the B200 rents for two to three-and-a-half times the H100's rate (about $5.98/hour on RunPod versus ~$1.73–1.99/hour for an H100, 22 Sep 2026), and one person rarely uses its extra throughput. The B200 earns its premium when you need its ~192GB to fit a big model on one card, or when a high-throughput production endpoint or training run keeps it fully busy so the cost-per-token comes out even or lower.
How much does it cost to rent a B200?
As of mid-September 2026, the median on-demand B200 is about $6.79/GPU-hour across providers. RunPod lists it around $5.98/hour, specialist clouds go as low as ~$3.20–3.75, neoclouds like Lambda and Nebius sit at $6.99–7.15, and hyperscalers run well past $10. B200 spot supply is still thin, so the cheapest rates depend on availability — check a live index before you rent.
Is a B200 faster than an H100?
Yes — the Blackwell-generation B200 delivers roughly two to two-and-a-half times an H100's throughput depending on precision, and carries about 192GB of memory versus the H100's 80GB. That makes it materially better for large training runs and high-throughput serving, but it doesn't speed up a small model that already runs comfortably on an H100.
When does the B200's higher hourly rate pay off?
When you can keep it busy. Cost per token, not per hour, is what matters for a utilised GPU: a B200 doing 2.5× the work of an H100 at ~3× the price is roughly break-even per token, and cheaper if you saturate it. A single user testing prompts almost never saturates a B200, so the H100 is the cheaper real-world choice for them.
