Sandboxer vs Replicate
Replicate runs AI models behind a cloud API, billing per hardware second or per output, and lets you deploy custom models. It is a model API rather than an interactive machine, and Sandboxer has no GPUs, so it isn't the pick for running models on GPUs. Pick Replicate to call or host models; pick Sandboxer for agent sandboxes.
Checked against Replicate's public docs on October 24, 2026. Sources are linked in the table and listed below.
At a glance
= not documented publicly.
Where Replicate is strong
- Hardware billed per second, from $0.000025 per second for CPU.
- Large public model catalogue behind one API.
- Client libraries for Node.js and Python, an HTTP API, webhooks and an MCP server.
- Per-output pricing for popular image, text and video models.
Where Sandboxer differs
- Replicate exposes models by API; Sandboxer gives full root VMs.
- Replicate has GPUs; Sandboxer has none.
- Private deployments bill for idle time while online; Sandboxer stopped sandboxes cost nothing.
- Replicate is built for running models, not for general Linux workloads or hosting arbitrary services.
Pick Replicate if
- You want to call a hosted image, video or LLM model with no infrastructure.
- You want to deploy a custom model as an API with GPUs.
- You want per-output pricing for public models.
Pick Sandboxer if
- You need a CPU sandbox with Docker, nested KVM and systemd that stops and resumes with running processes intact, and you do not need GPUs.
- You want coding agents (Claude Code, Codex and others) preinstalled and driven through a prompt API with streamed events.
- You want per-second billing with stopped sandboxes costing nothing and a flat $20 to $2000 monthly plan whose dollars return as machine time.
Sources
Products change. If something here is out of date, email hello@sandboxer.com and we'll fix it. Replicate is a trademark of its owner. Sandboxer is an independent product and is not affiliated with Replicate.
Other comparisons
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Many sandbox classes, from containers to VMs, Windows and GPUs.
Massive scale and GPUs for short-lived sandboxes, gVisor by default.
Firecracker microVMs billed on active CPU, inside the Vercel platform.
- Sandboxer vs Baseten
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- Sandboxer vs Cerebrium
Serverless GPU and CPU platform for deploying AI apps, billed per second of compute.
- Sandboxer vs Crusoe Cloud
AI infrastructure cloud with GPU and CPU VMs, GPU clusters and managed inference.
- Sandboxer vs Hyperstack
GPU cloud from NexGen Cloud with on-demand and reserved GPU VMs billed per minute.
- Sandboxer vs Jarvislabs
GPU cloud with container instances, full VMs and serverless endpoints, billed per minute, with India regions.
- Sandboxer vs Nebius AI Cloud
Hyperscale-style AI cloud with GPU and CPU virtual machines, preemptible capacity and GPU clusters.
- Sandboxer vs OVHcloud GPU instances
Public Cloud GPU instances (H100, L40S, L4 and more) virtualised with KVM, billed hourly or monthly.
- Sandboxer vs Paperspace (DigitalOcean)
Cloud GPU and CPU virtual machines, notebooks and container deployments, now part of DigitalOcean.
- Sandboxer vs Runpod
GPU cloud with container Pods, serverless endpoints and clusters, per-second billing, Community and Secure tiers.