Together AI Rate Limits Overview Together AI's OpenAI-compatible inference API enforces per-key rate limits that vary by model tier and operation type. Chat completions and embeddings share a global request quota, while fine-tuning jobs and batch inference have separate concurrency caps. High-throughput workloads like embedding entire document corpora or running evaluations across 100+ prompts require client-side token bucket limiting. Together's batch inference endpoint offers 50% cost savings but has its own queue depth limits that differ from real-time inference. Rate Limit Reference | End…