Modal vs E2B
Agent-native side-by-side. Scores are curated estimates on a 0–10 scale. Lock-in: higher = worse. Prefer JTBD picks via /api/decide when choosing for a job.
| Dimension | Modal | E2B |
|---|---|---|
| Overall | 8.4 | 8.6 |
| Capability fit | 9.0 | 9.4 |
| Price / performance | 8.2 | 8.0 |
| Latency / reliability | 8.6 | 8.6 |
| Developer & agent DX | 9.6 | 9.4 |
| Privacy / data retention | 7.8 | 8.5 |
| Lock-in risk (higher = worse) | 4.5 | 4.0 |
| Maturity / track record | 8.2 | 8.0 |
| Pricing | As of 2026-10-24 (modal.com/pricing, fetched 2026-10-24): Python-native serverless GPU/CPU billed per second of compute ('You never pay for idle resources'). GPU list rates per second: H100 SXM5 '$0.001097', H200 SXM '$0… | Firecracker microVM sandboxes billed per second; templates; code interpreter for agents. |
| Tagline | Depot darling for Python agent backends and bursty GPU jobs. If you think in functions not VMs, start here. | Depot default code sandbox for agents. Use for untrusted code; Daytona when you need persistent… |
Modal
Depot darling for Python agent backends and bursty GPU jobs. If you think in functions not VMs, start here. Strengths: Best-in-class Python DX for serverless compute; GPUs + sandboxes + cron in one model; Scale-to-zero economics.
Strengths
- Best-in-class Python DX for serverless compute
- GPUs + sandboxes + cron in one model
- Scale-to-zero economics
Weaknesses
- Premium vs raw RunPod $/GPU-sec sometimes
- Python-centric (polyglot harder)
- Less classic VM control
E2B
Depot default code sandbox for agents. Use for untrusted code; Daytona when you need persistent devworkspaces. Also the depot default Linux desktop sandbox for computer-use (e2b-desktop + VNC stream) when you already standardize on E2B. Strengths: Purpose-built for LLM code execution; Strong isolation (microVMs); Excel
Strengths
- Purpose-built for LLM code execution
- Strong isolation (microVMs)
- Excellent agent SDK fit
Weaknesses
- Per-sandbox-second costs add up
- Less persistent than Daytona workspaces
- Younger than hyperscalers
More pairs: anthropic-vs-openai · openai-vs-google-ai · groq-vs-fireworks · fireworks-vs-together · qdrant-vs-pinecone · pinecone-vs-supabase-pgvector · e2b-vs-modal · browserbase-vs-firecrawl