Cloud · head to head
Anyscale vs Koyeb

Anyscale
Cloud
Platform for scaling AI and data workloads on Ray, built by Ray's creators
- From
- Free
- Rated
- -

Koyeb
Cloud
High-performance serverless infrastructure for APIs, inference, and databases
- From
- $29/month
- Rated
- -
The short version
- Only Anyscale has a free tier, so it costs nothing to try first.
- Each has a real cost: Anyscale pricing for high-end H100/B200-class GPUs is not published and requires contacting sales.; Koyeb pricing starts at $29/month with additional compute costs
- They diverge on capability: Anyscale covers Distributed model training, Koyeb covers Serverless containers.
Where they differ
Only the attributes on which Anyscale and Koyeb actually diverge.
Identical on both: user rating (Not yet rated), category (Cloud).
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 Anyscale
- Distributed model training
- Multimodal data curation
- Batch embedding generation
- Multi-cloud orchestration
- Governance and security
- Observability
- Bring-your-own-cloud deployment
- Elastic GPU allocation
Only in Koyeb
- Serverless containers
- GPU support
- Global distribution
- Multi-protocol support
- Serverless Postgres
- Zero-downtime deployments
What people use each for
The jobs each tool is most often brought in to do.
Anyscale
- Training large models on distributed GPU clustersnot Koyeb
- Running batch inference and embedding jobsnot Koyeb
- Preparing multimodal datasets at scalenot Koyeb
- Post-training LLMs with reinforcement learning frameworksnot Koyeb
Koyeb
- Deploying AI inference models globally with GPU accelerationnot Anyscale
- Building SaaS platforms with automatic scalingnot Anyscale
- Running distributed AI agents and background workersnot Anyscale
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Anyscale
- Pricing for high-end H100/B200-class GPUs is not published and requires contacting sales.
- Built around Ray, so teams not already using Ray face a steeper adoption curve than single-purpose inference APIs.
- No published fixed-fee subscription tier; all listed pricing is usage-based on-demand compute.
Koyeb
- Pricing starts at $29/month with additional compute costs
- GPU compute is expensive at $0.75-$2.50 per hour
- Limited customization for infrastructure configuration
Pricing, plan by plan
Anyscale
Free- Pay-as-you-go$undefined/mo
- CPU only from $0.0135/hr
- NVIDIA T4 $0.5682/hr
- NVIDIA L4 $0.9542/hr
- Committed contract$undefined/mo
- Volume discounts
- Use of existing GPU reservations
Koyeb
$29/month- Pro$29/month
- $10 included compute
- 10 users
- 100 services
- Scale$299/month
- $100 included compute
- 50 users
- 1,000 services
- Enterprise$1000/month
- Unlimited users
- Custom resources
- SSO/RBAC
Which should you pick?
Choose Anyscale if
- You need distributed model training.
- You want to start without paying.
- You work on web, api.
- You also want multimodal data curation.
Choose Koyeb if
- You need serverless containers.
- You work on Web, CLI, API.
- You also want gpu support.
Questions people ask
- Is Anyscale or Koyeb better?
- Neither clearly leads. Anyscale starts at Free and Koyeb at $29/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Anyscale or Koyeb?
- Anyscale has a free tier; the other does not. Paid plans start at Free for Anyscale and $29/month for Koyeb.
- Does Anyscale or Koyeb run on more platforms?
- Anyscale runs on web, api. Koyeb runs on Web, CLI, API.
- Can I use Anyscale for free?
- Yes. Anyscale has a free tier, so you can try it without paying. Koyeb starts at $29/month.
- What is Anyscale best used for?
- Anyscale is most often used for training large models on distributed gpu clusters, running batch inference and embedding jobs, preparing multimodal datasets at scale, post-training llms with reinforcement learning frameworks. Of those, training large models on distributed gpu clusters and running batch inference and embedding jobs are not what Koyeb is typically brought in for.
- What can Anyscale do that Koyeb cannot?
- Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. Koyeb covers Serverless containers, GPU support, Global distribution, Multi-protocol support.
Answered from the vendors’ own pages
Anyscale: How much does Anyscale cost?
Anyscale bills on a pay-as-you-go basis: CPU compute starts at $0.0135/hr, NVIDIA T4 at $0.5682/hr, and NVIDIA A100 at $4.9591/hr, with committed contracts offering volume discounts for larger workloads.
SourceKoyeb: What are Koyeb's subscription plans?
Pro plan is $29/month with $10 included compute, Scale plan is $299/month with $100 included compute and 99.9% SLA, and Enterprise starts at $1,000/month with unlimited users and 99.99% SLA.
SourceAnyscale: Is there a free trial or credit?
New users receive $100 in Anyscale credits to explore the platform, which can be applied toward starter templates and on-demand compute usage.
SourceKoyeb: How much does GPU compute cost?
GPU pricing is per-second: RTX-A6000 costs $0.75/hour, A100 costs $1.60/hour, H100 costs $2.50/hour, and 8x H100 costs $20.00/hour.
SourceAnyscale: How is usage billed?
Hosted usage is billed hourly per compute instance type and invoiced monthly by credit card; bring-your-own-cloud usage is invoiced through Anyscale or the customer's cloud marketplace account.
SourceKoyeb: What database options are available?
Koyeb offers serverless Postgres starting at free (0.25 vCPU, 1GB RAM) up to 3XL at $1.28/hour with 8 vCPU and 32GB RAM. Storage costs $0.50/month per GB.
SourceAnyscale: What support is included?
Hosted plans include business-hours support with up to 5 case submissions, while bring-your-own-cloud deployments get 24x7 enterprise SLAs and unlimited case submissions.
SourceRelated pages
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