Groq vs Together AI

Custom Language Processing Units run inference, with 256 LPUs and 128 GB of on-chip SRAM per rack

Drop-in replacement for the OpenAI API at api.groq.com/openai/v1, including a Responses API

GroqMetal bare-metal infrastructure, GroqCore inference stack, and GroqAssured enterprise governance, each including the layers below

Text generation plus speech-to-text, text-to-speech, OCR and image recognition, and content moderation models

Compound systems that combine models with web search, code execution, remote MCP tools, and Google Workspace connectors

Performance, flex, and batch processing tiers, plus prompt caching, structured outputs, and LoRA inference

Access to Llama, DeepSeek, Qwen, and other leading open-source models

Pay-per-token API with OpenAI-compatible endpoints

LoRA and full fine-tuning with proprietary optimizations

Instant self-service or reserved dedicated clusters with H100, H200, B200, GB200, GB300 access

50% cost reduction for non-urgent inference workloads

Reserve dedicated capacity in throughput units (PTUs) with SLAs