Skip to main content
Introducing Respan Router

Anyscale vs Together AI (2026)

Updated March 10, 2026

vs

Overview

Rating
10.0 / 10
Rating
10.0 / 10
Best For
—
Best For
Developers and companies deploying open-source AI models in production
Product Summary

Anyscale is the company behind Ray, the open-source distributed computing framework used by OpenAI, Uber, and Spotify for scaling AI workloads. Anyscale's platform provides managed Ray clusters for distributed training, batch inference, and model serving, making it easy to scale AI applications across hundreds of GPUs.

Product Summary

Together AI provides a cloud platform for running, fine-tuning, and training open-source AI models. The platform hosts popular models like Llama, Mistral, and Stable Diffusion with optimized inference that delivers fast generation at competitive prices. Together AI also offers GPU clusters for custom training jobs and has contributed to several breakthrough open-source AI research projects.

Starting Price
$0.00006Per minute
Starting Price
Starting at $0.10Per 1M tokens
Free Trial
Yes
Free Trial
Yes
Free Version
No
Free Version
No

Key features

Core capabilities each platform advertises.

AnyscaleAnyscale
Data not available
Together AITogether AI
  • Inference and training cloud
  • Open-source model hosting
  • Serverless inference endpoints
  • Fine-tuning as a service
  • Competitive GPU pricing

Strengths and tradeoffs

What each tool does well, and the limitations to keep in mind.

AnyscaleAnyscale

Pros

  • Flexible pay-as-you-go with no monthly fees
  • Exceptional employee satisfaction (4.5/5 stars)
  • Strong company culture and leadership
  • Cost-effective LLM endpoints at half proprietary prices

Cons

  • Product described as super complex and technical
  • Work-life balance concerns from some employees
  • Platform still evolving with features in development
Together AITogether AI

Pros

  • Competitive pricing starting at USD 0.10 per million tokens
  • 50 percent discounts on batch inference and prompt caching
  • Strong backing from NVIDIA and Salesforce Ventures
  • Flexible deployment with both serverless and dedicated options

Cons

  • Focused on open-source models may limit access to proprietary models
  • Per-minute billing for dedicated GPUs can be complex to predict
  • Newer platform with less extensive documentation than established providers
  • Pricing varies significantly by model making cost planning difficult

Anyscale or Together AI — which should you choose?

Choose Anyscale if you want

Data not available

Choose Together AI if you want

  • Hosting open-source LLMs in production
  • Fine-tuning models on custom data
  • Cost-efficient inference at scale
  • Training custom models
  • Rapid model prototyping

Compare the models

How Anyscale's and Together AI's models score on public benchmarks, and their live API status.

Compare Anyscale and Together AI on your own traffic

10KFree traces/mo
1,000+Models
5 minSetup

Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.

Try Respan free

Other popular comparisons