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Head-to-head · AI Model Hosting

Baseten vs Modal

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Baseten #1 in AI Model Hosting 9.4/10 Free plan Free plan✓ 4 of 4 features Visit Baseten
Modal #8 in AI Model Hosting 8.6/10 Free plan Free plan✓ 0 of 4 features Visit Modal

Baseten leads on 0 checks, Modal on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreBaseten · 9.4/10
  • Free planboth
  • Most featuresBaseten · 4 of 4

Baseten scores higher on our rubric for ai model hosting: 9.4 against 8.6 out of 10; our editors rank them #1 and #8.

Baseten is the better fit for teams wanting managed model APIs. Modal is the better fit for python teams running elastic GPU workloads.

  • Baseten fits best

    Teams wanting managed model APIs

  • Modal fits best

    Python teams running elastic GPU workloads

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Side by side

Feature Baseten 9.4/10 Visit ↗ Modal 8.6/10 Visit ↗
At a glance
Editor score 9.4 8.6
Ranking #1 in AI Model Hosting #8 in AI Model Hosting
Best for Teams wanting managed model APIs Python teams running elastic GPU workloads
Pricing model Free plan + paid Free plan + paid
Starting price — $250/mo
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted Cloud
Platforms Web Web
Integrations 17 integrations 3 integrations
Features Baseten 4/4 · Modal 0/4
Autoscaling ✓ (best) Not checked yet
GPU accelerators ✓ (best) Not checked yet
Private deployment ✓ (best) Not checked yet
Batch inference ✓ (best) Not checked yet
Specs
Deployment mode Both Not checked yet
Supported model formats Truss/Python, custom Docker, vLLM, SGLang, Ollama Not checked yet
Deployment regions 2 regions Not checked yet
Our review
Pros
  • OpenAI-compatible Model APIs and dedicated CPU/GPU deployments
  • Autoscaling, async inference, regional endpoints, and observability
  • Training, fine-tuning, custom containers, and self-hosted options
  • Automatic scale-to-zero for serverless Python functions
  • GPU and CPU compute with configurable memory and container images
  • HTTP, scheduled jobs, versioning, metrics, logs, and observability
Cons
  • Basic includes usage-based compute charges beyond its $0 platform price
  • Regional deployment documentation lists United States and European Union
  • Dedicated Slack and Zoom support is available on Pro rather than Basic
  • Team costs $250 per month before usage-based compute charges
  • Starter limits workspace seats, containers, GPU concurrency, and functions
  • Enterprise support and engineering services require an enterprise plan
Our verdict

Baseten is an AI inference platform for teams deploying open-source, custom, and fine-tuned models in production. It combines managed Model APIs with dedicated CPU and GPU deployments, configurable autoscaling, asynchronous inference,…

Read the review →

Modal is a serverless cloud platform for engineers and researchers building compute-intensive applications. It runs Python functions in cloud containers, supports CPU and GPU workloads, and can expose functions as HTTP endpoints or…

Read the review →
  1. BasetenAI Model Hosting 9.4Free plan
  2. ModalAI Model Hosting 8.6Free plan

Strengths and trade-offs

  • Baseten — where it wins

    • OpenAI-compatible Model APIs and dedicated CPU/GPU deployments
    • Autoscaling, async inference, regional endpoints, and observability
    • Training, fine-tuning, custom containers, and self-hosted options

    Where it doesn't

    • Basic includes usage-based compute charges beyond its $0 platform price
    • Regional deployment documentation lists United States and European Union
    • Dedicated Slack and Zoom support is available on Pro rather than Basic
  • Modal — where it wins

    • Automatic scale-to-zero for serverless Python functions
    • GPU and CPU compute with configurable memory and container images
    • HTTP, scheduled jobs, versioning, metrics, logs, and observability

    Where it doesn't

    • Team costs $250 per month before usage-based compute charges
    • Starter limits workspace seats, containers, GPU concurrency, and functions
    • Enterprise support and engineering services require an enterprise plan

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update