vioscaleAI
Comparison

Ray vs Together AI

On the evidence we track, Together AI leads this comparison with a composite score of 77/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Ray full profile →Together AI full profile →
Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
Ray71
★Together AI77
Score
vioscaleAI score
Ray71 / 100medium · 65%
Together AI77 / 100medium · 59%
Pricing
Free tier
Ray✓
Together AI✓
Model
Raycommercial
Together AIfreemium
Price level
Rayfree
Together AIlow
Starting price
Ray–
Together AI$0.00
Transparent
Ray–
Together AI✓
Integrations
Count
Ray17
Together AI–
Security
Disclosure policy
Ray–
Together AI✓
Gdpr
Ray–
Together AI✓
Iso27001
Ray–
Together AI✓
Scorecard
Ray5.7
Together AI–
Soc2
Ray–
Together AI✓
Trust center
Vulnerabilities
Reliability
Sla pct
Ray–
Together AI99
Status page
Ray✓
Together AI✓
Adoption
Dependent repos
Ray3,641
Together AI–
Github stars
Ray44,036
Together AI–
Package downloads weekly
Ray11,291,327
Together AI–
Activity
Commits last 30d
Ray100
Together AI–
Release
Cadence days
Ray18
Together AI–
History
Ray20 items
Together AI–
License
Spdx
RayApache-2.0
Together AI–
Language
Primary
RayPython
Together AI–
Market
Availability
Content
Faq
Ray6 items
Together AI6 items

Capabilities

Feature-by-feature on the axes that matter for mlops & llmops tools. “-” means undocumented, not absent.

Core
Tool role
RayAgent / RAG framework
Together AIEnd-to-end ML platform
Deployment
Self-hostable / OSS core
Ray✓
Together AI✗
Managed cloud available
Ray✓
Together AI✓
On-prem / VPC deployment
Ray✓
Together AI✓
Observability
LLM tracing / observability
Ray✓
Together AI✗
Evaluation (offline / LLM-judge / human)
Ray-
Together AI✓
Dev
Prompt management + versioning
Ray-
Together AI✗
Tracking
Experiment tracking / model registry
Ray✓
Together AI✗
Serving
Model serving / inference endpoint
Ray✓
Together AI✓
Interop
OpenTelemetry / OpenLLMetry compatible
Ray✓
Together AI✗
Framework-agnostic
Ray✓
Together AI✓
Gateway
Multi-provider model support
Ray✓
Together AI✓
Data
No-train-on-customer-data guarantee
Ray-
Together AIYes

What each one is

The product in its own terms, so the numbers below have context.

Ray

Open-source framework for building and scaling distributed ML and Python applications, supporting the full pipeline from data processing and model training to inference and serving with simple APIs.

Independently observed

Together AI

Leader

Together AI provides cloud infrastructure for deploying, fine-tuning, and training open-source AI models. It offers flexible deployment options including serverless inference, batch processing, reserved throughput, and dedicated GPU instances with optimized performance and cost efficiency.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Ray

Open source
as of verify ↗

Together AI

Leader
from $0.00/million tokensUsage-basedFree tier

Pay-per-token usage starting from $0.0015 per 1M tokens. Free tier available. Dedicated instances and reserved throughput available upon request.

  • BuildFree
    • Discord community support
  • ScaleFrom $0.0015 per 1M tokens
    • Serverless inference
    • Batch API
    • Standard Support (business hours)
  • EnterpriseContact sales
    • Provisioned throughput
    • Dedicated GPU instances
    • Silver/Gold Support
    • Dedicated support engineer
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Ray✗
Together AI✓
CLI
Ray✓
Together AI✓
Deployment
Cloud / SaaS
Ray✓
Together AI✓
Self-hosted
Ray✓
Together AI✗

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Ray

27 total
  • PyTorch
  • TensorFlow
  • AIBrix
  • AReaL
  • Cosmos Curate
  • Daft
  • Data-Juicer
  • DeltaCAT
  • Modin
  • NeMo Curator
  • NeMo-RL
  • OpenRLHF
  • RayDP
  • ROLL
  • SkyRL
  • SLIME
  • Syftr
  • verl
  • vLLM
  • Kubernetes
  • AWS
  • GCP
  • Azure
  • Databricks
  • +3 more
Independently observed

Together AI

Leader

Not documented yet.

Still deciding?

Ray or Together AI: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.