DeepSeek-R1-BF16: GPU memory and hosting cost
Open weights · 684.49 billion parameters · Mixture of experts · 163,840-token context · licence mit
No cloud sells this model per token: to use it you run it yourself, on GPU instances you rent.
Run it yourself
It needs 1711.2 GB of GPU memory at bf16, the precision it ships in.
| Cloud | Cheapest instance that fits | GPUs | An hour | A month, around the clock |
|---|---|---|---|---|
| OCI | BM.GPU.MI355X.8 | 8 × MI355X 288 GB | $68.80 | $50,224 |
| Nebius | gpu-b300-sxm.8gpu-192vcpu-2768gb | 8 × B300 288 GB | $76.00 | $55,480 |
| AWS | 3 × p4de.24xlarge, joined by EFA | 8 × A100 80 GB in each | $82.34 | $60,109 |
| Azure | 3 × Standard_ND96amsr_A100_v4, joined by InfiniBand | 8 × A100 80 GB in each | $98.31 | $71,766 |
| Google Cloud | 2 × a3-ultragpu-8g, joined by GPUDirect RDMA | 8 × H200 141 GB in each | $169.61 | $123,818 |
| Alibaba Cloud | 3 × ecs.gn8v-8x.16xlarge, joined by eRDMA | 8 × GPU H 96 GB in each | $175.47 | $128,095 |
Several servers: the model is sized across identical servers that hold it together, on instance types whose vendor documents a network between servers; the price is all of them. It is shown where no one server holds the model, or where it costs less than the one that does.
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List prices collected 4 November 2026, refreshed every three hours. No negotiated rates or taxes.