Together AI

Together AI is a full-stack AI platform that provides inference, fine-tuning, and dedicated GPU clusters for open-source models. It takes the form of an AI native cloud service designed to power every step of the AI development journey from initial experimentation to massive scale. The platform addresses the needs of developers and enterprises seeking high-performance infrastructure, serverless application APIs, and managed storage for AI workloads.

• Serverless Inference providing high-performance model execution as an API without infrastructure management
• Batch Inference to asynchronously process massive workloads up to 30 billion tokens per model
• Dedicated Model Inference and Dedicated Container Inference for custom hardware and generative media workloads
• Accelerated Compute offering GPU clusters ranging from self-serve instant clusters to thousands of GPUs
• Fine-Tuning and custom training capabilities to shape open-source models with proprietary data
• Managed Storage supplying object storage and parallel filesystems optimized for AI-native workloads with zero egress fees
• Developer Environments utilizing fast, secure code sandboxes at scale

Pros

• Offers drop-in API compatibility for production workloads to simplify migration
• Includes diverse deployment options ranging from serverless endpoints to dedicated hardware and containers
• Provides specialized infrastructure options such as generative media workloads and managed object storage with zero egress fees
• Features dedicated hardware options including GB300, GB200, B200, H200, and H100 GPUs

Cons

• Specific pricing amounts and concrete tier limits are not published on the page beyond general plan models
• Open-source status is not recorded for the platform itself
• The page text does not detail granular self-serve billing brackets

Together AI fits engineering teams, machine learning researchers, and developers looking to build, fine-tune, and scale applications using open-source language models. It is built for organizations wanting to run production workloads on serverless APIs, provisioned throughput, or dedicated GPU clusters. It is a poor fit for teams exclusively relying on proprietary closed-source models without plans to migrate or integrate open-weight alternatives.

The listing states a freemium model featuring a free tier with paid plans above it, utilizing per-token pricing alongside contracted cluster capacity.

Unlike generic cloud providers, Together AI delivers a specialized platform centered entirely around open-source models with integrated research components like the Together Kernel Collection. Instead of managing fragmented infrastructure for training and serving, users get a full-stack cloud that spans sandboxes, managed storage, fine-tuning, and serverless inference APIs in a single ecosystem.

The platform serves and fine-tunes various open-source models including MiniMax-M3, Gemma 4 31B, DeepSeek V4 Pro, GLM-5.2, kimi K2.7 Code, gpt-oss-120B, Qwen3.5 397B A17b, and Llama 4 Maverick, alongside hardware architectures such as GB300, GB200, B200, H200, and H100.

Together AI is worth trying for developers and engineering teams working with open-source models who need scalable inference and GPU compute. The platform provides a full-stack environment with free starting credits, serverless options, and dedicated clusters. However, exact pricing tiers and figures are not detailed in the source text, so buyers must contact sales or check the live platform for exact costs.