Baseten vs Modal
A detailed comparison to help you choose between Baseten and Modal.
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Verdict: Modal wins
Modal scores 4.4/5, edging out Baseten at 4.1/5. Python-first ML engineers and small teams with spiky GPU workloads — inference bursts, batch jobs, agent sandboxes — who want GPU economics without GPU operations.
Baseten Model inference infrastructure for developers | Modal Run AI workloads serverlessly in Python | |
|---|---|---|
| Rating | 4.1 (1 review) | 4.4 (1 review) |
| Pricing Model | freemium | freemium |
| Starting Price | Free tier available | Free tier available |
| Best For | ML engineers and platform teams deploying custom or fine-tuned models to production who want autoscaling GPUs and code-owned deployment artifacts. | 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 Baseten → | Visit Modal → |
Baseten
Pros
- + Truss packaging (weights + model.py + config.yaml) gave me a deployable endpoint I could version in git like any other service
- + Scale-to-zero is real: my idle test endpoint stopped billing entirely between requests
- + Rolling deployments kept the old replica serving during promotion — zero dropped requests in my test
- + SOC 2 Type II and HIPAA compliance included on the base tier (baseten.co/pricing)
- + Per-minute GPU pricing is published: H100 80GB at $0.10833/min, T4 from $0.63/hr at time of writing (inferencehub.org)
Cons
- - An always-on H100 replica at list computes to roughly $4,680/month — min_replica choices dominate your bill
- - Model APIs cover open-weight models only (17 as of October 2026); no GPT or Claude access
- - Dedicated compute, priority GPU access, and higher rate limits require the Pro tier
- - Self-hosting, data residency, and custom SLAs are Enterprise-only
- - No path for non-engineers: everything assumes you can package a model and reason about replicas
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, Baseten or Modal?▼
Modal scores higher at 4.4/5 vs 4.1/5 for Baseten, making it the better-rated option in our comparison.
What is the difference between Baseten and Modal?▼
Baseten: Baseten hosts and scales machine learning models in production, serving open-source and custom models behind an API. Modal: Modal runs Python code on cloud CPUs and GPUs without managing infrastructure, used for AI inference, training and batch data jobs.
Is Baseten or Modal more affordable?▼
Baseten starts at €0/mo, Modal starts at €0/mo. Check the comparison table above for current pricing.
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