Vellum vs Modal
A detailed comparison to help you choose between Vellum and Modal.
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Verdict: Modal wins
Modal scores 4.4/5, edging out Vellum at 3.3/5. Python-first ML engineers and small teams with spiky GPU workloads — inference bursts, batch jobs, agent sandboxes — who want GPU economics without GPU operations.
Vellum LLM app development platform | Modal Run AI workloads serverlessly in Python | |
|---|---|---|
| Rating | 3.3 (1 review) | 4.4 (1 review) |
| Pricing Model | freemium | freemium |
| Starting Price | Free tier available | Free tier available |
| Best For | Founders and operators who want an always-on, memory-rich personal assistant that acts across their tools — and are comfortable paying hosting plus at-cost usage, or self-hosting on their own keys. | Python-first ML engineers and small teams with spiky GPU workloads — inference bursts, batch jobs, agent sandboxes — who want GPU economics without GPU operations. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | free tierapi access | free tierapi access |
| Visit Vellum → | Visit Modal → |
Vellum
Pros
- + Memory is inspectable and persistent: by day four it applied preferences I set once, and I could see and correct confidence-scored extractions
- + The permission system asked before emailing new contacts or touching protected files, then stayed out of the way on trusted work
- + Transparent billing: credits are provider cost with no markup — my two weeks of heavy use consumed about $18 in credits
- + Self-hosting the open-source build on your own keys drops the $50/month hosting layer to zero
- + Multi-channel continuity across Mac, iOS, web, Telegram, Slack and email with one identity and task list
Cons
- - The LLM development platform this listing describes is gone — no prompt management, evaluation or workflow product remains at vellum.ai
- - The $50/month Pro price is hosting only and includes zero AI usage; real cost lands near $90/month all-in for a heavy user
- - A full pivot from a small company is a real continuity risk for anyone who commits workflows to it
- - MCP server setup is CLI-level work and connector quality varies across the skills catalog
- - No enterprise SLA, SSO or team administration layer comparable to corporate-grade tooling
Modal
Pros
- + Slim-image containers accepted work in ~1-3s from zero in my tests; heavyweight torch+7B init ran 15-25s, consistent with the docs' seconds-to-minutes range
- + Per-second metering reconciled against my own container-uptime arithmetic within a percent or two over several weeks
- + Fan-out to 50 workers took one decorator and no queue plumbing; scaling up and back was invisible in the code
- + Full public rate card: H100 $0.001097/sec down to T4 $0.000164/sec, plus $30/month free credits on the Starter plan
- + Sandboxes (1B+ instances launched per company figures) give a built-in answer for running AI-generated code safely
Cons
- - Python only — no first-class Go, Rust or Node story for polyglot teams
- - Billing covers container uptime including cold starts: a 20s model load on H100 costs ~$0.022 per spin-up
- - Plan ceilings bite early (Starter: 10 GPU concurrency, 1-day log retention); region is 1.15-1.75x and non-preemptible/Sandboxes 3x
- - No model catalogue — checkpoint serving and inference frameworks are your own code
- - HIPAA, SSO and audit logs are Enterprise-tier, pushing regulated workloads into a sales process
Frequently Asked Questions
Which is better, Vellum or Modal?▼
Modal scores higher at 4.4/5 vs 3.3/5 for Vellum, making it the better-rated option in our comparison.
What is the difference between Vellum and Modal?▼
Vellum: Platform for building, testing, and deploying LLM-powered products with prompt management, evaluation, and workflow orchestration. Modal: Modal runs Python code on cloud CPUs and GPUs without managing infrastructure, used for AI inference, training and batch data jobs.
Is Vellum or Modal more affordable?▼
Vellum starts at €0/mo, Modal starts at €0/mo. Check the comparison table above for current pricing.
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