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Reading room · elevenlabs.providers.sgit.ai

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title: OpenRouter — the sibling page, as a structural stub description: "Not this site's subject. A stub of the sibling provider page, carried here to prove that adding a provider is one Markdown file with front-matter — and to supply the comparison table's other rows." lead: "This is not an OpenRouter site. It is a deliberately short stub of the sibling provider page, published here for two reasons: it supplies the other rows of the comparison↗, and it is the proof that adding a provider to this family is one Markdown file with front-matter rather than template surgery." order: 70 provenance: commit: 7d1916aca5f3 date: 7 September 2026 note: "Condensed from platforms/openrouter.md. The full page belongs at openrouter.providers.sgit.ai, which does not exist yet." grants:

<div class="note"><p><b>Scope.</b> This site reports on ElevenLabs. The full OpenRouter report — nine sections, its own cost table, its own failures — belongs at <code>openrouter.providers.sgit.ai</code> when that site exists. What follows is the minimum needed to make the comparison honest, plus the one measurement that is genuinely evidence for the whole argument.</p></div>

Why it is the useful contrast

OpenRouter can mint a key with a spend limit and a reset window, and reports limit, usage and limit_remaining against it. So a key in a page has a blast radius somebody chose in advance. ElevenLabs text to speech has no equivalent at any price {{claim:no-per-key-spend-limit}} — which is the single sharpest difference between the two and the reason the comparison table earns its place.

What it cost us, measured

DateReelWordsRequestsCost
2 Sep 2026pitch landscape 1:5530413$0.1554
2 Sep 2026pitch landscape, re-render30413$0.1533
2 Sep 2026pitch portrait 1:241909$0.1112
3 Sep 2026aiuc-1 landscape 3:4659916$0.2997
3 Sep 2026aiuc-1 portrait 2:0931810$0.1708

About $0.08 per minute of speech {{claim:openrouter-cost-aiuc}}. Speech generation took 3.3–5.4 s for a whole reel in parallel, against 50–94 s for a local model. Transcript mismatches across 61 generations: zero {{claim:transcript-mismatches}}.

What went wrong


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