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Plans and Pricing

Compare pricing of Together AI vs Compare with the following detailed pricing plan info. Together AI comes in 2 packages: Foundation, Strength. On the other hand, Compare has not provided information about its pricing.

Serverless Inference

$ From $0.03/1M tokens

Upto 100 Employees

Dedicated Endpoints

$ From $5.49/GPU-hour

Upto 100 Employees

GPU Clusters

$ From $3.99/GPU-hour

Upto 100 Employees

Enterprise

$ Custom

Upto 100 Employees

Open Source

$ Free

Upto 100 Employees

Screenshot

Take a look at the below screenshots and seamlessly compare the user interface of Together AI and MLflow for better insights.

Features

Compare between Together AI and MLflow on their key features and functionalities to pick the right one for your business.

  • Serverless inference API for 200+ open source models
  • Dedicated single-tenant GPU endpoints
  • On-demand and reserved GPU clusters (H100, H200, B200)
  • Fine-tuning for Llama, Mistral, Qwen, and DeepSeek models
  • OpenAI-compatible API for easy migration
  • Batch API at up to 50% lower cost
  • Code sandbox and code interpreter
  • Speculative decoding and FP8 kernel optimizations
  • Voice platform with sub-500ms end-to-end latency
  • Experiment tracking for parameters, metrics, and artifacts
  • Central model registry with versioning and lineage
  • LLM and agent observability built on OpenTelemetry
  • Systematic evaluation with 50+ built-in metrics and LLM judges
  • Prompt versioning and automatic optimization
  • AI Gateway for managing model access and costs
  • Deployment tools for serving models in production
  • Integrates with 100+ frameworks including PyTorch, LangChain, and OpenAI

Additional Details

Details Together AI MLflow
Languages english english
Country United States United States
API Available
Run On Mobile Browser
Free Plan
Customization
Support Email, Tickets -
Target Audience startups, smes, enterprises freelancers, startups, smes, enterprises
Platforms web app web app
Subscription Plans Monthly Monthly
Deployment cloud based cloud based, on premises, hybrid