Resources
Showing 1–5 of 5 models
Meta · Preview
Meta's streaming speech-recognition model for live captions, long audio, many speakers, code-switching, and domain-aware transcription.
Microsoft · Preview
Microsoft's fast batch transcription model for long recordings, speaker labels, word timing, keyword biasing, and clean or verbatim transcripts.
Google Cloud · Stable
Google Cloud's general speech-to-text model for streaming, file, and low-cost dynamic-batch transcription across many languages and regions.
AssemblyAI · Stable
AssemblyAI's accuracy-focused transcription model for files and live audio, with code-switching, speaker labels, timestamps, and contextual prompting.
ElevenLabs · Stable
ElevenLabs' multilingual speech-to-text model for detailed transcripts with many speakers, word timing, audio events, and large custom keyterm lists.
How to use this library
A curated cross-category set of frontier, specialist, and category-defining models with practical API information for real product decisions.
Cody does not run a universal quality leaderboard. Provider claims are labeled, pricing excludes taxes and optional tools, and production buyers should verify the live provider terms before choosing a model.
Use first-party documentation for technical limits, lifecycle, pricing, regional access, and data policies whenever it exists.
Compare models only inside the same category and retain each provider's measurement basis.
Show Not published when a provider has not published a comparable fact instead of estimating it.
Treat prices and availability as dated snapshots and link every page to live provider documentation.
Voice latency, text throughput, video render time, and world-model frame rate are not interchangeable.
A missing release date, country list, or latency number is labeled as unpublished instead of estimated.
Model pages link to the underlying source and show when pricing, access, and policies were last checked.
Put the model to work
Use Cody's expanded prompt playbooks and curated agent skills to turn a model choice into a repeatable workflow.
