AI API

Together AI

Together AI is an AI-native cloud for running, shaping, and pre-training open-source models at production scale.

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Together AI

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What is Together AI?

Together AI is a cloud platform for building with open-source AI models, offering inference, model shaping, and pre-training infrastructure for production workloads.

Together AI vs Similar AI Tools

Pricing ModelFreeCustom PricingFreeFree
Free Credits
Key Features
  • Serverless and dedicated model inference
  • Batch inference for large asynchronous workloads
  • Model shaping and fine-tuning workflows
  • Enterprise-Grade Runtime with high availability
  • Flexible Identity & Access (SAML, OAuth)
  • Tenant Isolation with isolated runtimes, credentials, and audit trails
  • Emulates Ollama, OpenAI, and llama.cpp APIs
  • Transparent forwarding to NVIDIA's OpenAI-compatible API
  • Optional response caching with configurable TTL and size
  • Transparent credential injection for AI agents
  • AES-256-GCM encrypted secret storage at rest
  • Host and path matching for routing secrets to endpoints
Pros
  • Strong focus on production inference performance
  • Supports multiple deployment modes
  • Enterprise-grade security and governance built-in
  • Multi-tenant isolation for SaaS providers
  • Lightweight and easy to deploy via Docker
  • Caches responses to reduce API calls and latency
  • Open-source and self-hosted, giving full control over credentials
  • Easy setup with one-line install or Docker
Cons
  • Homepage does not show complete pricing details
  • May be better suited to technical teams than non-technical users
  • Pricing is not transparent and requires contacting sales
  • Requires technical expertise to set up and configure workflows
  • Only forwards to NVIDIA's API; no other cloud provider support
  • Requires a valid NVIDIA API key
  • Currently limited to single-user local mode by default; OAuth setup requires additional config
  • Requires self-hosting infrastructure (Docker/PostgreSQL)
Best For
  • ML engineers and AI platform teams
  • Startups deploying open-source models
  • Enterprises needing a secure, governable integration platform
  • SaaS companies requiring multi-tenant integration for customers
  • Developers integrating NVIDIA LLMs into existing workflows
  • Users of Open WebUI, curl, or SDKs wanting to leverage NVIDIA models
  • Developers building AI agents that need secure API access
  • Teams managing multiple AI agent deployments with varying credential scopes

How to use Together AI?

  1. 1Sign up for a Together AI account.
  2. 2Choose a deployment option such as serverless, batch, or dedicated inference.
  3. 3Select an open-source model or bring your own model workflow.
  4. 4Use the platform APIs and tooling to integrate inference or training into your application.
  5. 5Monitor performance, cost, and scaling as your workload grows.

Together AI Key Features

  • Serverless and dedicated model inference
  • Batch inference for large asynchronous workloads
  • Model shaping and fine-tuning workflows
  • Pre-training infrastructure and GPU acceleration
  • Research-driven optimization for speed and cost
  • Support for open-source models and production deployments

Together AI Use Cases

  • Building AI applications on open-source models
  • Low-latency production inference
  • Large-scale offline batch processing
  • Fine-tuning and post-training models
  • Pre-training and experimentation on GPU infrastructure
  • Deploying generative media models at scale

Together AI Pricing & Free Credits

Together AI currently operates on a Free model.

This tool is completely free to use

Free

Free

Public pricing details are not fully listed on the homepage; a free starting option may be available for evaluation.

Together AI Pros & Cons

Pros

  • Strong focus on production inference performance
  • Supports multiple deployment modes
  • Built around open-source models
  • Research-backed optimization for speed and cost
  • Covers inference, training, and model shaping in one platform

Cons

  • Homepage does not show complete pricing details
  • May be better suited to technical teams than non-technical users
  • Most value is focused on developers and ML workflows

What is Together AI best for?

  • ML engineers and AI platform teams
  • Startups deploying open-source models
  • Teams needing scalable inference infrastructure
  • Researchers working on model optimization
  • Companies building production AI products

Together AI FAQ

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