Agentic Index
Daytona vs Modal (2026)
Daytona and Modal both run agent code on demand with per second billing, scoped differently: Daytona is sandbox first, usage based with 200 dollars of free compute and five gigabytes of storage, open source and self hostable, with GPU sandboxes available, while Modal is general serverless compute across GPU, CPU, and memory, free Starter with 30 dollars in monthly credits then Team at 250 dollars a month, where sandboxes run at about a three times premium over preemptible rates. Choose Daytona when agent sandboxes are the product; choose Modal when sandboxes are one workload inside broader inference and batch compute.
| At a glance | Daytona | Modal |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | Usage based · $200 free compute + 5 GB storage · open source | Free Starter ($30/mo credits); Team $250/mo; Enterprise; per second usage |
| Free / trial | $200 in free compute and 5 GB free storage; open source is free to self host | Free Starter tier with $30 a month in credits |
| Pricing confidence | public partial | public exact |
| Feature |
D
Daytona
|
M
Modal
|
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Partial | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Partial | Partial |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Partial | Partial |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
No / Not documented | No / Not documented |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Full / Explicit | Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Partial | No / Not documented |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Partial | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
No / Not documented | Partial |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Full / Explicit |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Partial | No / Not documented |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
No / Not documented | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial | Partial |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
Full / Explicit | Partial |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing |
D
Daytona
|
M
Modal
|
|---|---|---|
|
Entry price Lowest public entry point |
Usage based · $200 free compute + 5 GB storage · open source | Free Starter ($30/mo credits); Team $250/mo; Enterprise; per second usage |
|
Pricing confidence How public the numbers are |
Public — partial | Public — exact |
|
Billing Primary billing axis |
Per second compute and memory, plus metered storage | per second compute (GPU, CPU, memory) |
|
Variable cost Workload / overage exposure |
High variable cost | High variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
Free tier
|
|
Buying motion Self-serve vs sales call |
Self-serve | Mixed |
Choose Daytona if
- Agent sandboxes specifically are the workload you are provisioning.
- Open source self hosting keeps execution inside your infrastructure.
- Two hundred dollars of free compute funds a serious evaluation.
Choose Modal if
- GPU inference and batch jobs share the platform with your sandboxes.
- Per second billing with no egress fees fits your cost model.
- Team plan concurrency limits match your production scale.