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Open source token efficiency benchmark update, inference taxonomy framework, Alec Aivazis on Houdini and GraphQL

An updated open source benchmark suite shows GraphQL is more token-efficient than REST and other JSON API technologies for connecting agents to deployed services, according to the benchmark's new numbers. The same update presents a framework for categorizing inference calls to identify "code smells" that waste money on low-value tokens, and features a conversation with Alec Aivazis, creator of the Houdini GraphQL framework.

read1 min views2 publishedSep 14, 2026
Open source token efficiency benchmark update, inference taxonomy framework, Alec Aivazis on Houdini and GraphQL
Image: Jeffauriemma (auto-discovered)
### [Benchmark: GraphQL is more token-efficient than REST](#benchmark-graphql-is-more-token-efficient-than-rest)

New numbers from my open source benchmark suite show a significant and durable advantage for using GraphQL rather than other JSON API technologies under the hood to connect agents to deployed services.

### [Categorizing and evaluating inference spend](#categorizing-and-evaluating-inference-spend)

Not all tokens give equal value. Here's a framework for categorizing your inference calls and finding "code smells" that might be costing you a ton of money for relatively little value.

Alec Aivazis, creator of Houdini GraphQL

Alec is a consummate GraphQL practitioner and tooling visionary. The Houdini framework is a unique take on the GraphQL developer experience and it was an absolute pleasure hearing Alec's take on this and much more in these conversations:

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