Anyscale vs Banana.dev: Pricing Comparison 2026
Side-by-side pricing comparison of Anyscale and Banana.dev. See all plans, features, and costs at a glance.
Bottom line: Anyscale starts at $3/mo, making it $17/mo cheaper than Banana.dev ($20/mo). Neither offers a free plan.
Last updated: July 6, 2026
Anyscale vs Banana.dev: Quick Pricing Facts
| Feature | Anyscale | Banana.dev |
|---|---|---|
| Starting Price | $3/mo | $20/mo |
| Number of Plans | 5 | 3 |
| Free Tier | No | No |
| Pricing Model | usage-based | usage-based |
| Annual Discount | N/A | N/A |
Anyscale is the more affordable option, starting at $3/mo compared to Banana.dev's $20/mo. Both are AI & ML tools with 8 combined pricing plans and 19 features compared.
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 | Banana.dev Try free |
|---|---|---|
| Tier 1 | Pay as you go $100/monthCheapest | Team $1200/month Includes
|
| Tier 2 | Committed contracts Custom pricing | Enterprise Custom pricing Includes
|
| Tier 3 | Multimodal AI workloads $3/monthCheapest | Banana Delivery (SF Only) $20/month Includes
|
| Tier 4 | LLM training and inference $5/monthCheapest | - |
| Tier 5 | Fine-tune PI0.5 VLA $5/monthCheapest | - |
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Which Should You Choose?
Choose Anyscale if:
- •You need a full distributed compute platform for large-scale LLM training and serving using Ray
- •Your ML team requires multi-node GPU clusters, not just single-model serverless deployment
- •Anyscale's integration with Ray for distributed ML workflows is a specific requirement
Choose Banana.dev if:
- •You need a simple way to deploy a single custom ML model as a serverless API endpoint
- •Your team wants container-based deployment without managing Kubernetes or Ray clusters
- •Banana.dev's simplicity for individual model deployment suits your workflow
Anyscale is a comprehensive distributed compute platform built on Ray - it handles large-scale training, batch processing, and multi-model serving. Banana.dev (now Baseten) was a simpler serverless GPU platform for deploying individual model inference. Anyscale is the more powerful and complex tool designed for ML teams with distributed workloads. Banana.dev was designed for simpler single-model deployment. For most teams deploying one or a few custom models, Banana.dev's (now Baseten's) simplicity was more practical. For teams running complex distributed ML pipelines, Anyscale's Ray integration provides capabilities Banana.dev could not match.
Frequently Asked Questions: Anyscale vs Banana.dev
Which is cheaper, Anyscale or Banana.dev?
How many pricing plans does Anyscale have vs Banana.dev?
Does Anyscale or Banana.dev offer custom enterprise pricing?
How do Anyscale and Banana.dev compare for AI & ML?
Sources
- Anyscale Official Pricing- Vendor pricing page
- Banana.dev Official Pricing- Vendor pricing page
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