Together AI

Other

A high-speed inference and fine-tuning platform for open-source AI models. Access Llama, Mistral, SDXL, and more at low cost.

4.1
WebAPI

What is Together AI?

Together AI is a cloud platform for running open-source AI models at high speed. It allows you to use major open-source models including Meta Llama 3.3, Mistral, DeepSeek, Qwen, and SDXL at high speed and low cost through proprietary inference optimization technology. For developers, it provides an OpenAI-compatible API, making migration from existing applications straightforward. Its fine-tuning features are also robust, allowing you to customize models with your own datasets and deploy them as dedicated endpoints. A free Playground environment lets you try various models, and the pay-as-you-go pricing model means you only pay for what you use. For enterprises, it also offers private cloud and on-premises deployment options, catering to organizations with strict security requirements.

Pricing Plans

1Free Playground
2API pay-as-you-go $0.05–$0.90/million tokens
3Dedicated GPU from $2.50/hr

Key Features

OpenAI-compatible API
200+ open-source model support
Fine-tuning
Dedicated GPU
Playground
Batch inference
Streaming support
Embeddings API

Pros & Cons

Pros

  • Comprehensive support for major open-source models
  • OpenAI-compatible API for easy migration
  • Robust fine-tuning features
  • Free Playground to get started easily
  • Enterprise private deployment support

Cons

  • Closed models (GPT-5, Claude, etc.) not available
  • UI dashboard is English only
  • No Japan-region servers
  • Dedicated GPU is expensive

Frequently Asked Questions

Q. Can I use Together AI for free?

A. You can try various models for free in the Playground. API usage is pay-as-you-go starting from $0.05 per million tokens. A $5 free credit is provided upon initial registration.

Q. How does it differ from Groq?

A. Groq features ultra-fast inference via its proprietary LPU chips, making it ideal for speed-critical use cases. Together AI has robust fine-tuning features, making it strong for building and deploying custom models.

Q. Can I fine-tune with my own data?

A. Yes, you can upload your own datasets to fine-tune models like Llama and Mistral, and deploy them as dedicated endpoints. Setup takes just a few clicks.

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