Text-to-Speech Models Compared: Latency, Naturalness, and Cost
How the current generation of text-to-speech models actually differ across latency, naturalness, and cost, and which tier fits which use case.
Model Drop
Author
Tools & Platforms Editor
5+ years experience
Marcus spent six years as a platform engineer before switching sides to cover the tools he used to fight with. He's the one who actually reads the API docs, runs the curl command in the announcement post, and tells you when the 'now generally available' button is quietly still in a waitlist. He tests every coding agent, IDE extension, and inference platform Model Drop covers on his own infrastructure before writing a word.
How the current generation of text-to-speech models actually differ across latency, naturalness, and cost, and which tier fits which use case.
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