--- specification: FinOps Framework specificationVersion: '1.0' schema: https://www.finops.org/framework/ provider: CodeSandbox providerId: codesandbox created: '2026-06-12' modified: '2026-06-12' reconciled: true tags: - FinOps - FOCUS - Developer Tools - Cloud IDE description: FOCUS-aligned FinOps for CodeSandbox VM-based sandbox infrastructure billing. sources: - https://codesandbox.io/pricing - https://codesandbox.io/docs/sdk/pricing alignedWith: framework: FinOps Foundation Framework frameworkUrl: https://www.finops.org/framework/ dataSpec: FOCUS dataSpecVersion: '1.3' dataSpecUrl: https://focus.finops.org/focus-specification/v1-3/ publisherName: CodeSandbox serviceCategory: Developer Tools billingModel: pricingCategory: Subscription with on-demand overage billingFrequency: Monthly billingCurrency: USD focusColumns: ServiceName: CodeSandbox ServiceCategory: Developer Tools ProviderName: CodeSandbox PublisherName: CodeSandbox BillingCurrency: USD meters: - name: VM Credits unit: credits aggregation: sum - name: VM Runtime Hours unit: hours aggregation: sum - name: Concurrent VMs unit: vms aggregation: max skus: - name: Nano VM (2 vCPU / 2 GiB RAM) unit: hour price: 0.15 currency: USD - name: Small VM (4 vCPU / 8 GiB RAM) unit: hour price: 0.30 currency: USD - name: On-demand credit unit: credit price: 0.01486 currency: USD principles: - name: Visibility description: >- Track CodeSandbox VM credit consumption monthly per workspace to understand development environment costs across teams and projects. - name: Optimization description: >- Right-size VM specs to workload requirements; shut down idle sandboxes promptly since billing rounds up to the nearest minute; prefer snapshot and restore over leaving VMs running to minimize runtime costs. - name: Accountability description: >- Assign workspace credits per team or project; use workspace-level billing to attribute costs to individual teams or product lines. - name: Forecasting description: >- Model monthly spend based on average VM hours per developer and concurrent VM peaks; scale plan tier selection to expected usage to avoid high on-demand overage rates.