Yi-1.5-9B: GPU memory and hosting cost
Open weights · 8.83 billion parameters · 4,096-token context · licence apache-2.0
No cloud sells this model per token: to use it you run it yourself, on GPU instances you rent.
Run it yourself
It needs 22.1 GB of GPU memory at bf16, the precision it ships in.
| Cloud | Cheapest instance that fits | GPUs | An hour | A month, around the clock |
|---|---|---|---|---|
| HF Endpoints | gcp.nvidia-l4.x1 | 1 × L4 24 GB | $0.70 | $511 |
| Google Cloud | g2-standard-4 | 1 × L4 24 GB | $0.7068 | $516 |
| AWS | g6.xlarge | 1 × L4 24 GB | $0.8048 | $588 |
| Azure | Standard_NC36ds_xl_RTXPRO6000BSE_v6 | 1 × RTX PRO 6000 24 GB | $1.44 | $1,053 |
| DeepInfra | a100.1x | 1 × A100 80 GB | $1.49 | $1,088 |
| Crusoe | l40s.1x | 1 × L40S 48 GB | $1.50 | $1,095 |
| Nebius | gpu-l40s-a.1gpu-8vcpu-32gb | 1 × L40S 48 GB | $1.55 | $1,130 |
| Alibaba Cloud | ecs.gn7i-c8g1.2xlarge | 1 × A10 24 GB | $1.68 | $1,224 |
| OCI | VM.GPU.A10.1 | 1 × A10 24 GB | $2.00 | $1,460 |
| Core42 | h100.1x | 1 × H100 80 GB | $2.50 | $1,825 |
| IBM watsonx | deploy-on-demand.1xL40S | 1 × L40S 48 GB | $4.43 | $3,234 |
| Fireworks AI | h100.1x | 1 × H100 80 GB | $8.00 | $5,840 |
| Together AI | hgx-h100.8gpu | 8 × H100 80 GB | $31.92 | $23,302 |
More from 01.AI
Similar size, open weights
List prices collected 4 November 2026, refreshed every three hours. No negotiated rates or taxes.