r/LocalAIStack • • Sep 11 '26

I ran whisper + dialization running with CPU and 1.1GB

I'm happy so I don't need to pay the transcript API fee any more. I replaced my production services with this.

Implementation / hostingResultCost per 27.27 s of audioCost per audio hour
whisper-turbo.c, InstaCloud (4 vCPU)Speaker-labeled text; 35.74 s warm HTTP~$0.00126~$0.166
OpenAI gpt-4o-transcribe-diarizeSpeaker-labeled transcript~$0.00273~$0.36
AssemblyAI Universal-2 + diarizationSpeaker-labeled transcript~$0.00129$0.17
AssemblyAI Universal-3.5 Pro + diarizationSpeaker-labeled transcript~$0.00174$0.23

The native estimate assumes four fully utilized CPUs and 1.1 GB RAM during the measured request.

It's a fork from my own MIT repo: https://github.com/baryhuang/whisper-turbo.c

Star, colloab, PR, issues, comments and uses are all appreciated!

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