LLM Opex

Models

Moonlight-16B-A3B: GPU memory and hosting cost

Open weights · 15.96 billion parameters · Mixture of experts · 8,192-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 39.9 GB of GPU memory at bf16, the precision it ships in.

CloudCheapest instance that fitsGPUsAn hourA month, around the clock
DeepInfraa100.1x1 × A100 80 GB$1.49$1,088
Crusoel40s.1x1 × L40S 48 GB$1.50$1,095
Nebiusgpu-l40s-a.1gpu-8vcpu-32gb1 × L40S 48 GB$1.55$1,130
HF Endpointsaws.nvidia-l40s.x11 × L40S 48 GB$1.80$1,314
AWSg6e.xlarge1 × L40S 48 GB$1.86$1,359
Alibaba Cloudecs.gn8is.2xlarge1 × L20 48 GB$2.26$1,648
Core42h100.1x1 × H100 80 GB$2.50$1,825
AzureStandard_NC72ds_xl_RTXPRO6000BSE_v61 × RTX PRO 6000 48 GB$2.83$2,066
Google Clouda2-highgpu-1g1 × A100 40 GB$3.67$2,682
IBM watsonxdeploy-on-demand.1xL40S1 × L40S 48 GB$4.43$3,234
Fireworks AIh100.1x1 × H100 80 GB$8.00$5,840
OCIBM.GPU.L40S.44 × L40S 48 GB$14.00$10,220
Together AIhgx-h100.8gpu8 × H100 80 GB$31.92$23,302

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List prices collected 4 November 2026, refreshed every three hours. No negotiated rates or taxes.