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docs: switch benchmark order

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Johann Schopplich
2025-11-09 11:38:14 +01:00
parent 7b39feece7
commit 67169f6f9f
3 changed files with 231 additions and 231 deletions
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10
benchmarks/results/retrieval-accuracy.md
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@@ -36,11 +36,11 @@ Benchmarks test LLM comprehension across different input formats using 209 data
Each format's overall performance, balancing accuracy against token cost:
```
TOON ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ 26.9 │ 73.9% acc │ 2,744 tokens
JSON compact ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓░░░ 22.9 │ 70.7% acc │ 3,081 tokens
YAML ▓▓▓▓▓▓▓▓▓▓▓▓▓▓░░░░░░ 18.6 │ 69.0% acc │ 3,719 tokens
JSON ▓▓▓▓▓▓▓▓▓▓▓░░░░░░░░░ 15.3 │ 69.7% acc │ 4,545 tokens
XML ▓▓▓▓▓▓▓▓▓▓░░░░░░░░░░ 13.0 │ 67.1% acc │ 5,167 tokens
TOON ████████████████████ 26.9 │ 73.9% acc │ 2,744 tokens
JSON compact █████████████████░░░ 22.9 │ 70.7% acc │ 3,081 tokens
YAML ██████████████░░░░░░ 18.6 │ 69.0% acc │ 3,719 tokens
JSON ███████████░░░░░░░░░ 15.3 │ 69.7% acc │ 4,545 tokens
XML ██████████░░░░░░░░░░ 13.0 │ 67.1% acc │ 5,167 tokens
```
TOON achieves **73.9%** accuracy (vs JSON's 69.7%) while using **39.6% fewer tokens**.