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Software · head to head

Anyscale vs Together AI

Anyscale logo

Anyscale

Software

Platform for scaling AI and data workloads on Ray, built by Ray's creators

From
Free
Rated
-
Together AI logo

Together AI

Software

Open-source AI at scale

From
Free
Rated
-

The short version

  • Each has a real cost: Anyscale pricing for high-end H100/B200-class GPUs is not published and requires contacting sales.; Together AI fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
  • They diverge on capability: Anyscale covers Distributed model training, Together AI covers Open-source models.

Where they differ

Only the attributes on which Anyscale and Together AI actually diverge.

Attributes where Anyscale and Together AI differ
AttributeAnyscaleTogether AI
Platformsweb, apiApi, Cloud
FoundedUnknown2022

Identical on both: starting price (Free), pricing model (usage-based), free tier (Yes), user rating (Not yet rated), category (Unknown).

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 Together AI

  • Open-source models
  • Fine-tuning
  • Fast inference
  • Embeddings
  • REST API
  • Python SDK
  • OpenAI compatible
  • Api support

What people use each for

The jobs each tool is most often brought in to do.

Anyscale

  • Training large models on distributed GPU clustersnot Together AI
  • Running batch inference and embedding jobsnot Together AI
  • Preparing multimodal datasets at scalenot Together AI
  • Post-training LLMs with reinforcement learning frameworksnot Together AI

Together AI

  • Serverless inference against open source chat, vision, embedding, image and video modelsnot Anyscale
  • Renting dedicated single tenant H100, H200 or B200 GPU clusters by the hournot Anyscale
  • Fine tuning open weight models on a per token basisnot 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.

Together AI

  • Fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
  • Reserved GPU commitments beyond 180 days are priced by contacting sales with no published rate
  • Volume and enterprise discounts are quote only with no published threshold
  • Reserved dedicated inference pricing is contact sales while only on demand rates of $5.49 to $8.99 per GPU hour are published

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

Together AI

Free
  • FreeFree
    • $5 credits
    • API access
  • Pay-per-use$0.2/per-million-tokens
    • All models
    • Fine-tuning

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 Together AI if

  • You need open-source models.
  • You want to start without paying.
  • You work on Api, Cloud.
  • You also want fine-tuning.

Questions people ask

Is Anyscale or Together AI better?
Neither clearly leads. Anyscale starts at Free and Together AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Anyscale or Together AI?
Anyscale starts at Free and Together AI at Free.
Does Anyscale or Together AI run on more platforms?
Anyscale runs on web, api. Together AI runs on Api, Cloud.
Can I use Anyscale for free?
Both have a free tier, so you can try either at no cost before committing.
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 Together AI is typically brought in for.
What can Anyscale do that Together AI cannot?
Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.

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.

Source
Anyscale: 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.

Source
Anyscale: 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.

Source
Anyscale: 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.

Source
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