Agentic Index

E2B vs Modal (2026)

E2B and Modal both give agents somewhere safe to run code, scoped differently: E2B is purpose built agent sandboxes (Hobby free with a one time 100 dollar credit and twenty concurrent sandboxes, Pro at 150 dollars a month with twenty four hour sessions, usage about 17 cents an hour for the default sandbox of two vCPU and four GiB), while Modal is general serverless compute billed per second across CPU, GPU, and memory (free Starter with 30 dollars in monthly credits, Team at 250 dollars a month), where sandboxes run at about a three times premium over preemptible rates. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Choose E2B when the job is agent code execution, Modal when sandboxes are one workload inside broader compute needs including GPUs.

On the Agentic Index agent infrastructure ranking, neither E2B nor Modal clears the bar, which asks for all five production contract capabilities documented in full. Neither documents 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. E2B and Modal 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 955 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose E2B if

  • Sandboxed code execution for agents is the specific job to be done.
  • Simple per second sandbox pricing, about 17 cents an hour for a default sandbox, is easy to model.
  • Fast start with a free tier and generous concurrency covers your prototype.

Choose Modal if

  • You also need GPU inference, batch jobs, or general serverless compute.
  • One platform for all compute beats a point solution for sandboxes.
  • First class retries, job queues and fan out across functions fit how your pipeline runs.
Feature
E
E2B
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.

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

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.

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.

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.

Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.

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.

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.

Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
E
E2B
M
Modal

Entry price

Lowest public entry point

Free Hobby ($100 one time credit) · Pro $150/mo + per second usage Free Starter ($30/mo credits); Team $250/mo; Enterprise; per second usage

Pricing confidence

How public the numbers are

Public, exact Public, exact

Billing

Primary billing axis

usage 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

Mixed Mixed

Other matchups in agent infrastructure platforms

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