`Together AI` Benchmarks Coding-Agent Inference at Scale

Throughput, latency, and cost are framed as the real bottlenecks for agent backends. Useful when choosing inference infra, but still vendor-run.

• —Together AI claims 31% higher TPS than TensorRT-LLM; throughput matters when many agent steps run in parallel.
• —TTFT is claimed to be 2x better at saturation, which directly affects perceived responsiveness in coding-agent loops.
• —Cost is positioned as 76% lower than Claude Opus 4.6; worth testing on your workload before switching infra.