Development & Code

Together AI

Open-source models without infrastructure

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Getting started with Together AI means understanding their token-based pricing model. Costs vary dramatically between models. DeepSeek-R1 costs $7 per million output tokens while Llama 3.2 3B runs just $0.06.

Together AI runs a cloud platform for training and deploying generative AI models using performance-optimized GPU clusters. Their ATLAS runtime-learning accelerators promise 4x faster LLM inference through runtime optimization. You'll find dedicated endpoints. Batch processing APIs. Fine-tuning capabilities alongside a model library packed with open-source options for chat, images, videos, and code.

Together AI stays current with frequent model releases. Recent additions include GLM-4.7, KIMI K2.5, QWEN3-CODER-NEXT, and DEEPSEEK-V3.1.

A machine learning engineer at a startup migrating from OpenAI would appreciate the OpenAI-compatible APIs — you can switch without rewriting your integration code. Together AI's batch inference API processes billions of tokens at 50% lower cost than alternatives, which matters when you're running large-scale operations. Self-service NVIDIA GPU clusters through Together Instant mean you don't wait for provisioning.

Code Sandbox and Code Interpreter features target developers building AI applications. Together AI claims 3.5x faster inference and 2.3x faster training, though these numbers depend heavily on your specific use case and model choice. It handles trillions of tokens in hours. Speed and cost efficiency drive enterprise-scale deployments.

Frequently asked

6 questions

Can I use my existing OpenAI code with Together AI without making changes?

Yeah, you can switch without rewriting anything. Together AI's got OpenAI-compatible APIs -- so your existing integration code works as-is. Just swap out your endpoint URL and API key, that's it.

How much faster is Together AI's ATLAS runtime compared to standard inference?

They claim 4x faster LLM inference with their ATLAS runtime-learning accelerators. Plus 3.5x faster inference and 2.3x faster training overall. But here's the thing -- those numbers really depend on what models you're running and your specific use case.

What's the cost difference between Together AI's cheapest and most expensive models?

It's wild -- DeepSeek-R1 costs $7 per million output tokens. Llama 3.2 3B? Just $0.06 per million tokens. That's over 100x difference, so picking the right model makes or breaks your budget.

Does Together AI offer batch processing for large-scale operations?

Yep, they've got a batch inference API that's 50% cheaper than alternatives. Perfect when you're not doing real-time stuff. It can churn through trillions of tokens in just hours -- pretty solid for large-scale ops.

Can I get dedicated GPU clusters through Together AI without waiting?

Their Together Instant feature gives you self-service NVIDIA GPU clusters right away. No waiting around for provisioning. You get immediate access to performance-optimized clusters for training and deploying your models.

What developer tools does Together AI include beyond basic API access?

They've got Code Sandbox and Code Interpreter built in. Works alongside their fine-tuning stuff and model library. You also get dedicated endpoints -- which means consistent performance without the usual API lottery.