About
Together AI is a comprehensive AI-native cloud built for developers, researchers, and enterprises who want to build with open-source and specialized AI models. The platform offers three core pillars: a model playground for interactive evaluation, scalable fine-tuning for task-specific customization, and reliable model serving with best-in-class price-performance. The Together Playground lets users experiment with a wide range of open-source large language models, image generation models, and other modalities directly in the browser—no local GPU setup required. Developers can compare outputs, tweak parameters, and prototype applications before committing to production deployments. For teams needing customization, Together AI's fine-tuning service enables training on proprietary datasets to adapt foundation models for specialized use cases at large scale. The inference layer is optimized for throughput and latency, making it suitable for both latency-sensitive applications and high-volume batch workloads. Together AI targets AI-native startups, enterprise ML teams, and individual developers who require access to powerful open-source models like Llama, Mixtral, and others without the overhead of managing GPU infrastructure. The platform integrates with standard API patterns, enabling easy adoption into existing workflows and tooling.
Key Features
- Interactive Model Playground: Experiment with dozens of open-source and specialized models directly in the browser to evaluate outputs and compare model behavior before deploying.
- High-Performance Inference API: Serve models reliably at scale with an OpenAI-compatible API optimized for throughput and latency at competitive pricing.
- Fine-Tuning Service: Customize open-source models on your own datasets for task-specific use cases, supporting large-scale training jobs on optimized GPU clusters.
- Multi-Modal Model Support: Access models across text, image, code, and other modalities from a single unified platform and API.
- GPU Cluster Infrastructure: Run workloads on performance-optimized GPU clusters managed by Together AI, eliminating the need for self-hosted infrastructure.
Use Cases
- Developers prototyping AI-powered applications by testing open-source LLMs in the browser playground before building production pipelines.
- ML teams fine-tuning foundation models on proprietary datasets to create specialized models for domain-specific tasks.
- Startups and enterprises serving AI features at scale via Together AI's cost-optimized inference API without managing GPU infrastructure.
- Researchers evaluating and comparing multiple open-source models side-by-side across different tasks and modalities.
- Engineering teams migrating from proprietary AI APIs to open-source models using Together AI's OpenAI-compatible endpoint.
Pros
- Wide Open-Source Model Selection: Access to a broad catalog of leading open-source models (Llama, Mixtral, etc.) without managing your own GPU infrastructure.
- Competitive Price-Performance: Together AI is consistently benchmarked as one of the most cost-efficient inference providers for open-source models at scale.
- OpenAI-Compatible API: Drop-in API compatibility makes it easy to migrate existing applications or integrate Together AI into current developer workflows.
- End-to-End ML Workflow: Covers the full lifecycle from experimentation in the playground to fine-tuning and production serving on a single platform.
Cons
- Limited Proprietary Model Access: Focused primarily on open-source models; users needing GPT-4 or Claude directly must use other providers.
- Costs Scale With Usage: While a free tier exists, production-scale inference and fine-tuning jobs can become expensive for high-volume applications.
- Narrower Ecosystem vs. Hyperscalers: Compared to AWS, GCP, or Azure AI, Together AI offers fewer ancillary services like storage, databases, or managed deployment pipelines.
Frequently Asked Questions
What models are available on Together AI?
Together AI offers a broad catalog of open-source and specialized models including Llama 3, Mixtral, Qwen, DeepSeek, Stable Diffusion, and many others across text, image, and code modalities.
Is Together AI compatible with the OpenAI API?
Yes. Together AI's inference API is designed to be OpenAI-compatible, so you can often swap the base URL and API key in existing applications to use Together AI models with minimal code changes.
Does Together AI offer a free tier?
Yes. New users receive free API credits to explore the platform. Beyond the free tier, usage is billed based on tokens processed or compute time consumed.
Can I fine-tune my own models on Together AI?
Yes. Together AI provides a fine-tuning service that lets you train open-source base models on your own datasets at scale using their GPU clusters.
What is the Together Playground used for?
The Together Playground is a browser-based interface for interactively testing and comparing AI models. It's ideal for prototyping prompts, evaluating model quality, and exploring parameter settings before building production applications.
