JSON Wastes 60% of Your AI-LLM Tokens. TOON Fixes That
Talkat Open Source Summit India 2026 · on Wednesday, 2026-06-17· at 18:25· Jasmine Hall 2 (Level 3)·
summary
JSON adds structural noise that commonly consumes 40-60% of LLM tokens, for example a 100-row payload that became ~127,000 tokens as pretty JSON. TOON (Token-Oriented Object Notation) writes the schema once and streams rows with nesting and type hints, yielding 40% average token savings, up to 60% and a measured accuracy bump (73.9% vs 69.7% one‑shot on tabular tasks). Open spec and SDKs exist (toon4s for JVM) and there is a toon4s Spark integration for Databricks/Delta Lake, reported to work in production.
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chapters (10)
- 0:00JSON token waste in LLMs
- 3:37JSON inefficiency for prompts
- 7:27Better data format design
- 10:14TOON format rules
- 13:46TOON limitations
- 16:38TOON vs JSON benchmark
- 19:29TOON production benefits
- 21:55Implementing TOON
- 23:23TOON resources
- 24:50Q&A
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