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Inngest vs Modal Comparison

Last updated:

Inngest

4.8(175 reviews)

Starting at Free free

  • Small Business
  • Mid-Market

Inngest is a developer platform for building event-driven, durable, and scheduled background functions without managing queues or workers. Developers write ordinary functions in their existing codebase, annotate them wit…

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…

Inngest leads on user satisfaction with a 4.8-star rating across 175 reviews.

Inngest vs Modal — at a glance

FeatureInngestModal
Rating4.8 / 54.7 / 5
Reviews175185
Starting priceFree freeFree free
Free trial No No
Free version No No
Best forSmall Business, Mid-MarketSmall Business, Mid-Market, Enterprise
CategoryCloud Platform as a Service (PaaS) SoftwareCloud Platform as a Service (PaaS) Software
PlatformsCloudCloud
APIAvailableAvailable
Support modesDiscord Community, Help Center, Email Support, Enterprise SupportCommunity Slack, Help Center, Email Support, Enterprise Support

Key differences between Inngest and Modal

  • Pricing: Inngest starts at Free free, while Modal starts at Free free.
  • User satisfaction: Inngest scores higher with a 4.8-star average.
  • Deployment: Inngest supports Cloud; Modal supports Cloud.

Inngest 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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Modal logo
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Talk to an expert

Free PDF comparison

Download this Inngest vs Modal comparison

Get the full side-by-side as a PDF — these picks plus the top Cloud Platform as a Service (PaaS) Software tools, with verified ratings, pricing and features.

  • Side-by-side on pricing, features & ratings
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Biggest differences

Start here before you go deeper into features.

Inngest

Best for

Small Business, Mid-Market

Modal

Best for

Small Business, Mid-Market, Enterprise

Inngest 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

Inngest is a developer platform for building event-driven, durable, and scheduled background functions without managing queues or workers. Developers write ordinary functions in their ... Read More about Inngest

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? ↗

9.6/10

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

Inngest

  • No Queue Infrastructure: Replace SQS + Lambda DLQ + exponential backoff implementation with a single Inngest function decorator — queue management becomes the platform's problem.
  • AI Workflows That Survive Failures: Multi-step LLM workflows with Inngest step durability survive server restarts, timeouts, and failures — each completed step is checkpointed.
  • Retry Logic Without Code: Automatic exponential backoff with configurable retry counts means transient API failures are handled by the platform, not by retry logic in every function.

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

Inngest

  • AI teams building reliable multi-step LLM workflows where individual steps can fail and need to resume without restarting the entire pipeline
  • SaaS teams replacing complex SQS + Lambda DLQ background job infrastructure with reliable Inngest functions
  • Serverless developers on Vercel or Cloudflare Workers who need durable background processing beyond the function timeout limit

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 Inngest and Modal Compare on Features?

Total Features

5 Features

6 Features

Unique Features

No unique features

No unique features

Get Quote
Get Quote

Compare Inngest 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

        • 50k function runs/month

        • Community support

        • All features

      • Team

        $150

        paid

        • 1M function runs/month

        • Team features

        • Standard support

        Show more +

      • Enterprise

        Custom

        paid

        • Unlimited runs

        • SSO

        • SLA

        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

      Inngest User Reviews & Rating Comparison

      User Ratings

      4.8

      (based on 175 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 very strong across 175 reviews, with consistently positive feedback.

      What buyers like

      • 4.8★ rating across developer reviews — consistently praised for dramatically reducing the complexity of building reliable background job infrastructure.
      • Step-level durability that survives server restarts and deployments eliminates the failed-mid-way background job problem that plagues serverless function implementations.
      • Works with existing code and deployment infrastructure (Vercel, Lambda) — no separate queue service (SQS, RabbitMQ) to provision, manage, or monitor.

      Common complaints

      • Managed infrastructure dependency means Inngest is on the critical path for all background job execution — outages affect all Inngest-dependent workflows.
      • Per-run pricing can become significant for very high-frequency background tasks — high-volume use cases need careful cost modeling before committing.

      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

      • 4.8★ rating across developer reviews — consistently praised for dramatically reducing the complexity of building reliable background job infrastructure.

      • Step-level durability that survives server restarts and deployments eliminates the failed-mid-way background job problem that plagues serverless function implementations.

      • Works with existing code and deployment infrastructure (Vercel, Lambda) — no separate queue service (SQS, RabbitMQ) to provision, manage, or monitor.

      • Managed infrastructure dependency means Inngest is on the critical path for all background job execution — outages affect all Inngest-dependent workflows.

      • Per-run pricing can become significant for very high-frequency background tasks — high-volume use cases need careful cost modeling before committing.

      • 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.

      Used Inngest or Modal? Tell buyers what actually differs.

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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, Inngest or Modal?
      Inngest edges out the other on user ratings (4.8 vs 4.7). That said, the best pick depends on your use case — use the comparison tables above to evaluate each dimension.
      Do Inngest and Modal offer a free trial?
      Neither Inngest nor Modal currently lists a free trial.
      What is the starting price of Inngest vs Modal?
      Inngest starts at Free free. Modal starts at Free free.