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This page answers that search with 1,300+ evaluations across 10 models and 3 providers.\n\n## Why JSON needs an alternative for AI\n\nJSON was designed in 2001 for browser-to-server communication. At 500 records, LLMs score 54.1% comprehension accuracy on JSON. GPT-5.5 returns empty strings. Claude Opus spends 143 lines manually enumerating symbols and still gets the wrong answer.\n\nGCF averages 91.2% comprehension accuracy. 79% fewer tokens. Four models hit 100%. Zero training required.\n\n## Links\n\n- [Live site](https://jsonalternative.com)\n- [Full benchmarks](https://gcformat.com/guide/benchmarks.html)\n- [GCF Specification](https://github.com/blackwell-systems/gcf)\n- [GCF Proxy](https://github.com/blackwell-systems/gcf-proxy)\n- [Playground](https://gcformat.com/playground.html)\n- [betterthanjson.com](https://betterthanjson.com)\n- [Whitepaper (DOI: 10.5281/zenodo.20579817)](https://doi.org/10.5281/zenodo.20579817)\n\n## License\n\nMIT - [Dayna Blackwell](https://github.com/blackwell-systems)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fblackwell-systems%2Fjsonalternative","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fblackwell-systems%2Fjsonalternative","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fblackwell-systems%2Fjsonalternative/lists"}