TRON cuts tokens up to 27% with accuracy within 14pp of JSON on agentic benchmarks while TOON reaches 18% savings but triggers multi-turn parsing failures and parallel-call collapse on most models.
(arXiv:2601.12014)
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Notation Matters: A Benchmark Study of Token-Optimized Formats in Agentic AI Systems
TRON cuts tokens up to 27% with accuracy within 14pp of JSON on agentic benchmarks while TOON reaches 18% savings but triggers multi-turn parsing failures and parallel-call collapse on most models.