Agentic Index
Daytona vs E2B (2026)
Choose E2B for Firecracker microVM isolation with hardware level security boundaries, and choose Daytona for sub 90 millisecond sandboxes, containers by default with VM, Windows and GPU options, and no subscription floor. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Their per vCPU compute rates are effectively identical, but the structures differ: E2B pairs usage with a Pro plan at 150 dollars a month that unlocks production limits, while Daytona is purely usage based with 200 dollars in free compute. Isolation strength versus startup speed, GPUs, and pricing structure is the real choice.
On the Agentic Index agent infrastructure ranking, neither Daytona nor E2B clears the bar, which asks for all five production contract capabilities documented in full. Daytona does not document testing, debugging and optimization in full; E2B does not document testing, debugging and optimization in full, nor observability and auditability. 34 of the 186 vendors in the lane clear it. See the agent infrastructure ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Daytona and E2B are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 956 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Daytona if
- Container isolation is acceptable and sub 90 millisecond creation speed matters
- Your agent workloads need GPUs inside the sandbox
- Pure usage pricing with no monthly floor fits spiky or seasonal traffic
Choose E2B if
- Untrusted code demands a microVM for every sandbox by default, not as an option
- Fortune 100 grade production references derisk the platform decision
- Predictable plan limits with per second usage suit sustained high volume
| At a glance | Daytona | E2B |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | Usage based · $200 free compute · vCPU $0.0504/h, memory $0.0162/GiB-h | Free Hobby ($100 one time credit) · Pro $150/mo + per second usage |
| Free / trial | $200 in free compute, no credit card required; first 5 GiB of storage free; free credits not usable on GPU sandboxes | Free Hobby tier, no card ($100 one time credit, 1 hour max sessions) |
| Pricing confidence | public exact | public exact |
| Feature | D Daytona |
E E2B |
|---|---|---|
| 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. |
No / Not documented | No / Not documented |
|
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 | Full / Explicit |
| 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. |
Partial | Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
No / Not documented | No / Not documented |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | 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 | Partial |
| 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. |
Full / Explicit | 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. |
No / Not documented | No / Not documented |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
Full / Explicit | Full / Explicit |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | D Daytona |
E E2B |
|---|---|---|
|
Entry price Lowest public entry point |
Usage based · $200 free compute · vCPU $0.0504/h, memory $0.0162/GiB-h | Free Hobby ($100 one time credit) · Pro $150/mo + per second usage |
|
Pricing confidence How public the numbers are |
Public, exact | Public, exact |
|
Billing Primary billing axis |
Per second compute and memory, plus metered storage | usage |
|
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 |
Daytona moved its core development to a private codebase in June 2026. Its last open source release, v0.190.0, stays public on GitHub under the AGPL 3.0 with no further updates, so the platform sold today is not open source.
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