AI · head to head
AI21 Labs vs Modal
The short version
- Each has a real cost: AI21 Labs the free allowance is $10 of credit lasting 7 days rather than an ongoing free tier; 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: AI21 Labs covers Jamba models, Modal covers Serverless GPUs.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which AI21 Labs and Modal actually diverge.
Identical on both: starting price (Free), pricing model (usage-based), free tier (Yes), user rating (Not yet rated), category (AI).
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 AI21 Labs
- Jamba models
- Long context
- RAG engine
- Writing tools
- REST API
- Amazon Bedrock
- Cloud platforms
Only in Modal
- Serverless GPUs
- Python functions
- Auto-scaling
- Fast cold starts
- Python SDK
- GitHub Actions
- Cloud storage
Both cover
- Api support
- Cloud support
What people use each for
The jobs each tool is most often brought in to do.
AI21 Labs
- Running long-context tasks on the Jamba model familynot Modal
- Building and optimising production AI agents with Maestronot Modal
- Routing between models to control cost and accuracynot Modal
- Long-horizon agentic tasks needing stateful workspacesnot Modal
Modal
- Running serverless GPU workloads for model inference and trainingnot AI21 Labs
- Executing Python functions on cloud compute without managing serversnot AI21 Labs
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
AI21 Labs
- The free allowance is $10 of credit lasting 7 days rather than an ongoing free tier
- Jamba Large is $2 per million input tokens and $8 per million output, so output-heavy work costs four times as much as input
- Volume discounts, private cloud hosting and higher rate limits require a custom plan
- Standard rate limits are not published
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 $30 monthly free credit is the only allowance below the paid base fee
- Enterprise volume discounts are custom and unpublished
Pricing, plan by plan
AI21 Labs
Free- Free TrialFree
- 10 USD credits
- 7-day trial period
- No credit card required
- Pay As You Go$undefined/mo
- Usage-based pricing model
- Access to all Foundation model APIs and SDK
- Unlimited seats
- Custom Plan$undefined/mo
- Volume discounts on token pricing
- Premium API rate limits
- Private cloud hosting option
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 AI21 Labs if
- You need jamba models.
- You want to start without paying.
- You work on Api, Cloud.
- You also want long context.
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 AI21 Labs or Modal better?
- Neither clearly leads. AI21 Labs 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, AI21 Labs or Modal?
- AI21 Labs starts at Free and Modal at Free.
- Does AI21 Labs or Modal run on more platforms?
- AI21 Labs runs on Api, Cloud. Modal runs on Cloud, Api.
- Can I use AI21 Labs for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is AI21 Labs best used for?
- AI21 Labs is most often used for running long-context tasks on the jamba model family, building and optimising production ai agents with maestro, routing between models to control cost and accuracy, long-horizon agentic tasks needing stateful workspaces. Of those, running long-context tasks on the jamba model family and building and optimising production ai agents with maestro are not what Modal is typically brought in for.
- What can AI21 Labs do that Modal cannot?
- AI21 Labs covers Jamba models, Long context, RAG engine, Writing tools. Modal covers Serverless GPUs, Python functions, Auto-scaling, Fast cold starts. Both handle Api support, Cloud support.
Answered from the vendors’ own pages
AI21 Labs: How much do AI21's Jamba Mini and Jamba Large models cost?
Jamba Mini costs $0.2 per 1M input tokens and $0.4 per 1M output tokens. Jamba Large is priced at $2 per 1M input tokens and $8 per 1M output tokens. Both models use usage-based billing with no monthly minimums.
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.
SourceAI21 Labs: Does AI21 offer a free trial?
Yes, AI21 provides a free trial with 10 USD in credits for 7 days, no credit card required. The trial grants access to all Foundation models via API and SDK.
SourceModal: Is there a free tier?
Yes, Starter plan is free plus 30 USD/month in compute credits included monthly for new users.
SourceAI21 Labs: How do AI21's custom plans and volume discounts work?
Custom plans with volume discounts are available for enterprises but require contacting sales. These plans can include premium API rate limits, private cloud hosting, priority support, dedicated account managers, and expert consultancy.
SourceModal: What are the seat limits?
Starter plan includes 3 seats; Team plan provides unlimited seats; Enterprise tier has custom seat allocations.
SourceAI21 Labs: What does AI21 mean by 30% token efficiency savings?
AI21 claims their tokenization delivers approximately 30% more text per token compared to other providers, which can reduce effective costs by roughly 30%. This applies primarily to English-language text averaging 1 word or 6 characters per token.
SourceRelated pages
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