Anyscale vs Modal: Pricing Comparison 2026
Side-by-side pricing comparison of Anyscale and Modal. See all plans, features, and costs at a glance.
Bottom line: Anyscale starts at $3/mo and Modal starts at Custom pricing. Compare all 13 pricing tiers side by side.
Last updated: July 6, 2026
Anyscale vs Modal: Quick Pricing Facts
| Feature | Anyscale | Modal |
|---|---|---|
| Starting Price | $3/mo | Custom pricing |
| Number of Plans | 5 | 8 |
| Free Tier | No | No |
| Pricing Model | usage-based | usage-based |
| Annual Discount | N/A | N/A |
Anyscale and Modal are both priced at $3/mo, making them equally accessible AI & ML tools. Together they offer 13 pricing plans with 0 features compared, so the best choice comes down to which features match your needs.
Review the detailed tier-by-tier comparison above to see exactly which features are included at each price point and find the best fit for your AI & ML needs.
| Pricing Plans |  Anyscale Try free |  Modal Try free |
|---|---|---|
| Tier 1 | Pay as you go $100/monthCheapest | Resource costs Custom pricing |
| Tier 2 | Committed contracts Custom pricing | Credit grants for startups Custom pricing |
| Tier 3 | Multimodal AI workloads $3/monthCheapest | Modal Sandbox + Notebooks Pricing Custom pricing |
| Tier 4 | LLM training and inference $5/monthCheapest | Compute costs Custom pricing |
| Tier 5 | Fine-tune PI0.5 VLA $5/monthCheapest | Why serverless? Custom pricing |
| Tier 6 | - | Starter Custom pricing |
| Tier 7 | - | Team Custom pricing |
| Tier 8 | - | Enterprise Custom pricing |
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Which Should You Choose?
Choose Anyscale if:
- •Your team needs distributed multi-node GPU clusters managed with Ray for large training runs
- •MLOps platform features like job scheduling, autoscaling, and monitoring are required
- •Your workloads are large-scale and require Ray's distributed computing primitives
Choose Modal if:
- •You need to run custom Python and ML code as serverless functions on GPU
- •Pay-per-second billing for variable or bursty workloads suits your usage pattern
- •Modal's lightweight container model is faster to iterate on than a full MLOps platform
Anyscale is a comprehensive MLOps platform built around Ray's distributed computing. Modal is a simpler serverless compute platform for running Python code on GPU on demand. Anyscale suits large organizations with complex, distributed ML pipelines. Modal suits smaller teams and individual developers who need flexible, affordable GPU compute without platform overhead. Modal charges per second of compute; Anyscale charges for managed compute at a platform premium. For most individual ML projects and small teams, Modal's simplicity is an advantage over Anyscale's complexity.
Frequently Asked Questions: Anyscale vs Modal
How many pricing plans does Anyscale have vs Modal?
Does Anyscale or Modal offer custom enterprise pricing?
How do Anyscale and Modal compare for AI & ML?
Sources
- Anyscale Official Pricing- Vendor pricing page
- Modal Official Pricing- Vendor pricing page
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