Together AI Inference API

NewVerified

Unified API for open-source and proprietary LLMs.

7.5 (57.991 score)

freemiumAPI Available

Overview

Together AI provides a single API endpoint to access dozens of open-source and proprietary language models. Developers use it to integrate multiple LLMs without managing separate connections or vendor APIs. The platform emphasizes cost efficiency and model flexibility, letting teams switch between models or run multiple models in parallel.

Pros

Access 100+ open-source and proprietary models through one API
Batch processing reduces inference costs significantly
Fine-tuning capabilities for custom model adaptation
Supports vision models, embeddings, and language models
Real-time inference with sub-second latency options

✕ Cons

Pricing varies significantly by model and usage
Rate limits apply on free tier
Documentation could be more comprehensive for advanced features

Key Features

Multi-model API endpoint

Batch inference processing

Model fine-tuning

Vision and embedding models

Real-time and async inference

Usage analytics dashboard

Use Cases

Developers building LLM apps who want to avoid vendor lock-inTeams comparing model performance across different providersCompanies running cost-optimized batch jobs at scaleEnterprises needing both open-source and proprietary model access

Best For

ML Engineers & DevelopersStartups Building LLM AppsEnterprise AI TeamsResearchers & Data Scientists

Frequently Asked Questions

What is the pricing model for Together AI Inference API?▾

Together AI offers pay-as-you-go pricing based on tokens consumed, with competitive rates across different model tiers. Pricing varies by model selection, with discounts available for higher volume usage and fine-tuning projects.

How easy is it to get started with Together AI?▾

Setup is straightforward for developers—you get API keys, authenticate requests, and can start making inference calls within minutes using REST or Python SDK. Documentation and code examples are provided, though familiarity with APIs and LLMs helps.

What integrations and API capabilities does Together AI offer?▾

The platform provides REST APIs, Python/Node.js SDKs, and supports batch processing and streaming responses for real-time applications. It also integrates with popular frameworks and supports custom fine-tuning pipelines.

What are the main limitations of Together AI Inference API?▾

Context window lengths vary by model, and fine-tuning requires technical expertise and additional costs. Availability may depend on model popularity and regional infrastructure.

What is the ideal use case for Together AI?▾

It's best for developers and teams building production applications that need flexibility across multiple LLMs, want to fine-tune models for specific tasks, or require low-latency inference at scale.