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Fly.io vs Modal Comparison

Last updated:

Fly.io

4.4(180 reviews)

Starting at Free free

  • Small Business
  • Mid-Market

Fly.io is an application deployment platform that runs full-stack applications in lightweight virtual machines at the network edge — close to users globally. Unlike traditional PaaS platforms, Fly.io provides hardware-le…

Modal

4.7(185 reviews)

Starting at Free free

  • Small Business
  • Mid-Market

Modal is a serverless cloud platform for running Python code on GPUs and CPUs in the cloud with zero infrastructure management. Developers define functions with a Python decorator, and Modal handles containerization, GPU…

Modal leads on user satisfaction with a 4.7-star rating across 185 reviews.

Fly.io vs Modal — at a glance

FeatureFly.ioModal
Rating4.4 / 54.7 / 5
Reviews180185
Starting priceFree freeFree free
Free trial No No
Free version No No
Best forSmall Business, Mid-Market, EnterpriseSmall Business, Mid-Market, Enterprise
CategoryCloud Platform as a Service (PaaS) SoftwareCloud Platform as a Service (PaaS) Software
PlatformsCloudCloud
APIAvailableAvailable
Support modesHelp Center, Community Forum, Email SupportCommunity Slack, Help Center, Email Support, Enterprise Support

Key differences between Fly.io and Modal

  • Pricing: Fly.io starts at Free free, while Modal starts at Free free.
  • User satisfaction: Modal scores higher with a 4.7-star average.
  • Deployment: Fly.io supports Cloud; Modal supports Cloud.

Fly.io vs Modal — find the better fit before you commit.

01

Which tool fits your team best

02

Which is actually cheaper for your team size

03

Where each product wins, per real buyers

Most Cloud Platform as a Service (PaaS) Software tools look identical on paper. This comparison cuts to the differences that matter — pricing structure, team fit, and what real buyers found after signing up.

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Download this Fly.io vs Modal comparison

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Biggest differences

Start here before you go deeper into features.

Fly.io

Best for

Small Business, Mid-Market, Enterprise

Modal

Best for

Small Business, Mid-Market, Enterprise

Fly.io typically suits Small Business and Mid-Market. Modal tends to fit Small Business and Mid-Market better. The right choice depends on your team size, workflow, and whether a free trial matters.

Description

Fly.io is an application deployment platform that runs full-stack applications in lightweight virtual machines at the network edge — close to users globally. Unlike traditional PaaS ... Read More about Fly.io

Modal is a serverless cloud platform for running Python code on GPUs and CPUs in the cloud with zero infrastructure management. Developers define functions with a Python decorator, and ... Read More about Modal

Entry Level Pricing

  • Starts from Free
  • Starts from Free

Free Trial Availability

  • No free trial
  • No free trial

SpotScore

What's this? ↗

8.8/10

9.4/10

User Ratings

Based on verified Spotsaas reviews
Get pricing help
Get pricing help

Where each option fits best

See where each product is strongest, which teams it fits, and what causes buyers to keep looking — before you commit.

Based on buyer reviews and verified product data collected by Spotsaas.

Strengths

Key strengths

Fly.io

  • Low-Latency Global Applications: Fly.io deploys applications at the network edge close to users in 35+ regions, reducing API response times for global user bases without custom CDN configuration.
  • AI Workloads on PaaS Simplicity: GPU machine support lets AI inference APIs run on Fly.io without moving to complex ML infrastructure platforms like SageMaker or Vertex AI.
  • Maximum VM Isolation at PaaS Prices: Firecracker VMs provide hardware-level tenant isolation — meaningful for multi-tenant SaaS apps handling sensitive customer data.

Modal

  • GPU in One Line of Python: `@app.function(gpu="A100")` is the entire infrastructure declaration — no Dockerfile, no Kubernetes manifest, no capacity planning.
  • Cost-Efficient Experimentation: Per-second billing with no minimums means ML experiments and fine-tuning runs cost only their actual compute time, eliminating reserved instance waste.
  • Scalable Batch Processing: Modal scales to thousands of parallel function invocations automatically, enabling large-scale data processing and batch inference jobs without cluster management.
Best fit

Best fit

Fly.io

  • API teams needing sub-50ms response times globally without managing multi-region infrastructure
  • AI startups running GPU inference endpoints on PaaS infrastructure without ML platform complexity
  • HealthTech applications requiring HIPAA-compliant hosting with BAA agreements

Modal

  • ML researchers running fine-tuning and evaluation jobs on H100s without managing cloud infrastructure
  • Generative AI startups serving model inference at variable traffic levels with per-second cost efficiency
  • Data engineering teams running large-scale Python batch jobs on GPU clusters without DevOps overhead

Software Demo

Demo

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How do Fly.io and Modal Compare on Features?

Total Features

8 Features

6 Features

Unique Features

No unique features

No unique features

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Get Quote

Compare Fly.io and Modal on pricing

Review starting price, plan structure, and free-trial access side by side so you can see which option fits your budget and buying process.

Pricing Option

      Starting From

      • Free
      • Free

      Pricing Plans

      • Free

        Free

        • 3 shared CPU VMs

        • 3GB volume storage

        • Limited Postgres

        Show more +

      • Pay-as-you-go

        Custom

        paid

        • Unlimited apps

        • Dedicated machines

        • GPU machines

        Show more +

      • Compliance (HIPAA)

        $99

        paid

        • BAA agreement

        • Audit logging

        • Compliance controls

        Show more +

      • Free

        Free

        • $30 credits/month

        • All GPU types

        • Full feature access

        Show more +

      • Pay-as-you-go

        Custom

        paid

        • All GPUs

        • No idle charges

        • Standard support

        Show more +

      • Enterprise

        Custom

        paid

        • Volume discounts

        • Dedicated capacity

        • SLA

        Show more +

      Other Details

      Organization Types supported

      • Large Enterprises
      • Medium Business
      • Small Business
      • Individuals
      • Freelancers
      • Large Enterprises
      • Medium Business
      • Small Business
      • Individuals
      • Freelancers

      Platforms Supported

      • Browser Based (Cloud)
      • Browser Based (Cloud)
      • Mobile - Android
      • Browser Based (Cloud)
      • Browser Based (Cloud)
      • Mobile - Android

      Modes of support

      • 24/7 (Live rep)
      • Business Hours
      • Online
      • 24/7 (Live rep)
      • Business Hours
      • Online

      API Support

      • Available
      • Available
      Get help choosing
      Get help choosing

      Fly.io User Reviews & Rating Comparison

      User Ratings

      4.4

      (based on 180 reviews)

      4.7

      (based on 185 reviews)

      Rating Distribution

      0

      0

      0

      0

      0

      0

      0

      0

      0

      0

      Spotsaas Editor’s POV generated by AI

      Buyer sentiment

      Buyer sentiment is positive across 180 reviews, with strong overall satisfaction.

      What buyers like

      • Global edge deployment across 35+ regions puts applications close to users worldwide without configuring multi-region infrastructure manually.
      • Firecracker VM isolation provides hardware-level security between tenants — stronger than container-based isolation offered by most PaaS platforms.
      • Native GPU support makes Fly.io one of the few PaaS platforms usable for AI inference workloads without switching to a dedicated ML infrastructure provider.

      Common complaints

      • More complex than Render or Railway — Fly.io requires more CLI knowledge and configuration, with a learning curve that can delay first deployments for teams new to infrastructure.
      • Usage-based pricing without published unit prices makes cost estimation harder before running a workload — billing surprises are a common complaint from new users.

      Buyer sentiment

      Buyer sentiment is very strong across 185 reviews, with consistently positive feedback.

      What buyers like

      • Zero infrastructure management — no Kubernetes, Docker registries, or EC2 instance sizing; a Python decorator is the entire deployment interface.
      • Per-second billing with no idle charges makes GPU-intensive experiments cost-efficient; teams only pay for actual compute time, not reserved instances that sit idle.
      • H100 and A100 GPU access on-demand with auto-scaling means small teams can run large-scale training or inference jobs that would otherwise require negotiating reserved GPU capacity.

      Common complaints

      • Cold start latency when containers spin up from idle can add 1-5 seconds to first requests — problematic for low-latency user-facing inference endpoints.
      • Vendor-specific Python API means Modal code is not portable to other cloud providers without refactoring.

      Pros and Cons

      • Global edge deployment across 35+ regions puts applications close to users worldwide without configuring multi-region infrastructure manually.

      • Firecracker VM isolation provides hardware-level security between tenants — stronger than container-based isolation offered by most PaaS platforms.

      • Native GPU support makes Fly.io one of the few PaaS platforms usable for AI inference workloads without switching to a dedicated ML infrastructure provider.

      • More complex than Render or Railway — Fly.io requires more CLI knowledge and configuration, with a learning curve that can delay first deployments for teams new to infrastructure.

      • Usage-based pricing without published unit prices makes cost estimation harder before running a workload — billing surprises are a common complaint from new users.

      • Zero infrastructure management — no Kubernetes, Docker registries, or EC2 instance sizing; a Python decorator is the entire deployment interface.

      • Per-second billing with no idle charges makes GPU-intensive experiments cost-efficient; teams only pay for actual compute time, not reserved instances that sit idle.

      • H100 and A100 GPU access on-demand with auto-scaling means small teams can run large-scale training or inference jobs that would otherwise require negotiating reserved GPU capacity.

      • Cold start latency when containers spin up from idle can add 1-5 seconds to first requests — problematic for low-latency user-facing inference endpoints.

      • Vendor-specific Python API means Modal code is not portable to other cloud providers without refactoring.

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      Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

      Frequently asked questions

      Which is better, Fly.io or Modal?
      Modal edges out the other on user ratings (4.7 vs 4.4). That said, the best pick depends on your use case — use the comparison tables above to evaluate each dimension.
      Do Fly.io and Modal offer a free trial?
      Neither Fly.io nor Modal currently lists a free trial.
      What is the starting price of Fly.io vs Modal?
      Fly.io starts at Free free. Modal starts at Free free.