Together AI provides serverless LLM inference for open models and custom fine-tuned variants, enabling builders to ship AI features without managing infrastructure.
Together AI is an inference platform designed for builders shipping AI-powered features at scale. The service hosts open-source language models (Llama, Mistral, Qwen, and others) alongside proprietary options, offering API-first access without requiring operators to provision or manage GPU infrastructure. The platform targets teams that need predictable inference costs and model flexibility. Rather than committing to a single closed model, builders can experiment across open models, switch between providers, or fine-tune variants on Together's infrastructure. This is particularly valuable for teams building domain-specific applications where model selection directly impacts product quality and cost. Key operational decisions: Together AI charges per token (input and output), with pricing varying by model size and quantization. Verify current pricing on vendor site. The service includes batch inference for non-real-time workloads, which can reduce per-token costs significantly. Builders can also upload custom fine-tuned models and serve them through the same API, avoiding vendor lock-in on model weights. Integration is straightforward for teams already using LLM APIs—the SDKs and REST endpoints follow familiar patterns. The platform supports streaming responses, which is essential for user-facing chat and generation features. Operators should verify current model availability and SLA terms on the vendor site, as model catalogs and performance guarantees evolve. Common use cases include: chat interfaces powered by open models, content generation with fine-tuned variants, retrieval-augmented generation (RAG) pipelines, and cost-optimized inference for high-volume applications. Teams often choose Together AI when they need to balance cost, model control, and infrastructure simplicity—particularly if they're evaluating multiple models or building multi-tenant systems where model selection is a product decision.