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#28f5d9f9
Topic
INFRA & SAAS
Source
together_ai
Published
2026-05-19 00:00:00
Importance
★ 5/10 — radar 50
`Together AI` Benchmarks Coding-Agent Inference at Scale
FIG-0281:1

`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.

[ KEY POINTS ]
  1. Together AI claims 31% higher TPS than TensorRT-LLM; throughput matters when many agent steps run in parallel.
  2. TTFT is claimed to be 2x better at saturation, which directly affects perceived responsiveness in coding-agent loops.
  3. Cost is positioned as 76% lower than Claude Opus 4.6; worth testing on your workload before switching infra.
Originalwww.together.ai/blog/coding-agent-benchmarksRead original →

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