Together Inference API

NewVerified

API for running open-source LLMs at scale with low latency.

9.0 (55.011 score)

freemiumAPI Available

Overview

Together Inference API provides managed access to dozens of open-source language models optimized for production use. Developers and companies use it to build AI applications without managing infrastructure. It offers competitive pricing, fast inference speeds, and support for both text and image models.

Pros

Access 100+ open-source models without self-hosting infrastructure
Lower latency than competing inference APIs through optimization
Pay-as-you-go pricing with generous free tier for testing
Supports fine-tuning for custom model adaptation
Single API works with text, image, and multimodal models

✕ Cons

Limited model customization compared to full fine-tuning platforms
Smaller community and ecosystem than OpenAI or Anthropic
Variable model availability and discontinuation of older models

Key Features

100+ open-source LLM access

Low-latency inference optimization

Model fine-tuning capabilities

Batch processing support

Multimodal model support

Pay-as-you-go pricing

Use Cases

Startups building AI products without large inference budgetsEnterprises running private deployments of open modelsResearchers testing and comparing multiple model architecturesDevelopers prototyping AI features with cost-effective inference

Best For

Backend EngineersAI/ML Product TeamsEnterprise DevelopersStartups Building AI AppsLLM Application Builders

Frequently Asked Questions

What are the pricing options for Together Inference API?▾

Together Inference API uses pay-as-you-go pricing based on tokens consumed, with volume discounts available. Enterprise customers can negotiate custom pricing and SLAs for guaranteed uptime and support.

How steep is the learning curve for integrating this API?▾

The API is designed for developers with standard REST/SDK integration patterns. Setup typically takes hours rather than days, with comprehensive documentation and code examples available for common use cases.

What integrations and APIs does Together Inference API support?▾

The platform supports REST APIs, Python SDK, and Node.js libraries. It integrates with popular frameworks and can be used via standard HTTP requests, making it compatible with most development stacks.

What are the main limitations of Together Inference API?▾

Primary constraints include token rate limits on free tier, latency variability during peak usage, and dependency on internet connectivity for serverless inference. Custom model fine-tuning requires additional setup outside the core API.

Who should use Together Inference API?▾

It's ideal for teams building production AI applications requiring high-throughput inference, multiple model options, and enterprise-grade reliability without managing their own GPU infrastructure.