Cloud · head to head
Cerebrium vs Modal

Cerebrium
Cloud
Serverless GPU infrastructure for real-time AI inference and applications
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Cerebrium free Hobby tier limited to 3 apps and 5 GPU concurrency; Modal the Team plan carries a $250 monthly base fee and returns only $100 of that as free credits, so $150 is a flat charge before any compute
- They diverge on capability: Cerebrium covers Ultra-fast cold starts, Modal covers Serverless GPUs.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Cerebrium and Modal actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Cerebrium
- Ultra-fast cold starts
- Elastic scaling
- Bring your own code
- Multi-region failover
- WebSocket and streaming
- Asynchronous jobs
- CI/CD with gradual rollouts
- OpenTelemetry integration
Only in Modal
- Serverless GPUs
- Python functions
- Auto-scaling
- Fast cold starts
- Python SDK
- GitHub Actions
- Cloud storage
- Cloud support
What people use each for
The jobs each tool is most often brought in to do.
Cerebrium
- Deploying voice agents and conversational AI applicationsnot Modal
- Video and image model serving with low latencynot Modal
- LLM inference and completion endpointsnot Modal
- Real-time embeddings and vector database operationsnot Modal
- Distributed model training with hyperparameter sweepsnot Modal
Modal
- Running serverless GPU workloads for model inference and trainingnot Cerebrium
- Executing Python functions on cloud compute without managing serversnot Cerebrium
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Cerebrium
- Free Hobby tier limited to 3 apps and 5 GPU concurrency
- Standard plan at $100/month required for production deployments
- Per-second compute pricing requires continuous cost monitoring
- Storage costs add up for large model files
Modal
- The Team plan carries a $250 monthly base fee and returns only $100 of that as free credits, so $150 is a flat charge before any compute
- Compute is billed per second across separate GPU and CPU meters, so total cost depends on execution time rather than any fixed rate
- The Starter plan's $30 monthly free credit is the only allowance below the paid base fee
- Enterprise volume discounts are custom and unpublished
Pricing, plan by plan
Cerebrium
Free- HobbyFree
- 3 user seats
- Up to 3 deployed apps
- 5 GPU concurrency
- Standard$100/month
- Unlimited seats and apps
- 30 GPU concurrency
- Custom domains
- Enterprise$undefined/custom
- Unlimited resources
- Volume discounts
- Dedicated support
- GPU Compute$undefined/per-second
- T4: $0.000164/s
- H100: $0.00167/s
Modal
Free- StarterFree
- 3 seats
- 100 containers
- 10 GPU concurrency
- Team$250/month
- Unlimited seats
- 5,000 containers
- 50 GPU concurrency
- Enterprise$null/custom
- Custom seats, containers, and GPU concurrency
Which should you pick?
Choose Cerebrium if
- You need ultra-fast cold starts.
- You want to start without paying.
- You work on Cloud, Docker.
- You also want elastic scaling.
Choose Modal if
- You need serverless gpus.
- You want to start without paying.
- You work on Cloud, Api.
- You also want python functions.
Questions people ask
- Is Cerebrium or Modal better?
- Neither clearly leads. Cerebrium starts at Free and Modal at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Cerebrium or Modal?
- Cerebrium starts at Free and Modal at Free.
- Does Cerebrium or Modal run on more platforms?
- Cerebrium runs on Cloud, Docker. Modal runs on Cloud, Api.
- Can I use Cerebrium for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Cerebrium best used for?
- Cerebrium is most often used for deploying voice agents and conversational ai applications, video and image model serving with low latency, llm inference and completion endpoints, real-time embeddings and vector database operations. Of those, deploying voice agents and conversational ai applications and video and image model serving with low latency are not what Modal is typically brought in for.
- What can Cerebrium do that Modal cannot?
- Cerebrium covers Ultra-fast cold starts, Elastic scaling, Bring your own code, Multi-region failover. Modal covers Serverless GPUs, Python functions, Auto-scaling, Fast cold starts.
Answered from the vendors’ own pages
Cerebrium: Is Cerebrium only for inference or can it train models?
Cerebrium supports both inference serving and model training with hyperparameter sweeps. It enables deployment of voice agents, LLMs, video models, and other AI applications.
SourceModal: How much does Modal cost?
Modal uses pay-as-you-go pricing with Team plan at 250 USD/month base. Starter includes 30 USD/month free credits; Team includes 100 USD/month free credits. Compute charges per second for CPU cores, memory, and GPU instances.
SourceCerebrium: How do the cold starts compare to other platforms?
Cerebrium achieves 2-4 second cold starts through memory and GPU snapshotting, significantly faster than traditional 30+ second cold boots. This is competitive with platforms like Beam Cloud.
SourceModal: Is there a free tier?
Yes, Starter plan is free plus 30 USD/month in compute credits included monthly for new users.
SourceCerebrium: What compliance certifications does Cerebrium have?
Cerebrium maintains SOC 2 Type II compliance, HIPAA certification, GDPR compliance, and ISO certification. It provides gVisor container isolation and configurable data residency for regulated workloads.
SourceModal: What are the seat limits?
Starter plan includes 3 seats; Team plan provides unlimited seats; Enterprise tier has custom seat allocations.
SourceRelated pages
Other head to heads
- Cerebrium vs Beam Cloud
- Cerebrium vs Lambda
- Cerebrium vs Anyscale
- Cerebrium vs Koyeb
- Cerebrium vs Deno Deploy
- Cerebrium vs Serverless Framework
- Cerebrium vs Lambda (AWS Serverless)
- Cerebrium vs Upstash
- Cerebrium vs Neon
- Cerebrium vs Fireworks AI
- Cerebrium vs Porter
- Cerebrium vs Fastly
- Cerebrium vs Flux
- Cerebrium vs Google Cloud Platform
- Cerebrium vs HAProxy
- Cerebrium vs IBM Cloud
- Cerebrium vs kind
- Cerebrium vs Pika
- Cerebrium vs D-ID
- Cerebrium vs Anthropic API
- Cerebrium vs Fathom
- Cerebrium vs RunPod
- Cerebrium vs Lambda Labs
- Cerebrium vs Banana
- Cerebrium vs CoreWeave
- Cerebrium vs Replicate
- Cerebrium vs HeyGen
- Cerebrium vs LangGraph
- Cerebrium vs Aider
- Cerebrium vs Resemble AI
- Cerebrium vs AI21 Labs
- Cerebrium vs Leonardo AI
- Cerebrium vs Murf
- Modal vs Beam Cloud
- Modal vs Lambda
- Modal vs Anyscale
- Modal vs Koyeb
- Modal vs Deno Deploy
- Modal vs Serverless Framework
- Modal vs Lambda (AWS Serverless)
- Modal vs Upstash
- Modal vs Neon
- Modal vs Fireworks AI
- Modal vs Porter
- Modal vs Fastly
- Modal vs Flux
- Modal vs Google Cloud Platform
- Modal vs HAProxy
- Modal vs IBM Cloud
- Modal vs kind
- Modal vs Pika
- Modal vs D-ID
- Modal vs Anthropic API
- Modal vs Fathom
- Modal vs RunPod
- Modal vs Lambda Labs
- Modal vs Banana
- Modal vs CoreWeave
- Modal vs Replicate
- Modal vs HeyGen
- Modal vs LangGraph
- Modal vs Aider
- Modal vs Resemble AI
- Modal vs AI21 Labs
- Modal vs Leonardo AI
- Modal vs Murf

