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MAI Transcribe 2 vs Whisper: Which Speech-to-Text Model Wins?

This page is the bake-off, not the uploader. MAI Transcribe 2 is Microsoft AI’s hosted multilingual speech-to-text model. Whisper is OpenAI’s open-weight family. Searchers comparing them usually want a table, a same-file thought experiment, and a scenario verdict. That is what follows.

Microsoft’s FLEURS write-up lists MAI Transcribe 2 with the lowest average word error rate among the models they published, including Whisper-Large-V3. Artificial Analysis lists a 2% WER and a limited-time hosted price of $0.10 per hour of audio. Those are published figures, not a promise about your file. The homepage upload exists so you can hear the hosted model on your own audio.

Whisper still wins when you must run locally, inspect weights, or keep audio inside an air-gapped box. The rest of this page is about when that constraint is real and when it is habit.

Headline numbers from Microsoft’s FLEURS materials and Artificial Analysis. Your domain will differ.
DimensionMAI Transcribe 2Whisper Large V3
SpeedAbout 10 seconds of inference for 1 hour of audioStrong, but slower on long files without a GPU pipeline
Accuracy3.4% avg WER on FLEURS top 25; 2% on Artificial AnalysisStill excellent; Microsoft lists it behind MAI-2 on that FLEURS table
Languages60 with automatic detection and mixed-language speechBroad coverage; you choose a local checkpoint or an API
DiarizationBuilt inNeeds an extra clustering / alignment pipeline
Price$0.10 / hour limited-time hosted; this site has a free daily tryFree local compute, or API fees that vary by host
DeployHosted (OpenRouter, Azure Speech enhanced mode)Local GPU, self-host, or a third-party Whisper API
Open vs closedClosed model weights; call it as a serviceOpen weights you can pin, inspect, and air-gap
Best first jobCaptions, call review, a same-day hosted draftOffline QA, research pipelines, regulated on-prem audio

Same 10-minute podcast

Take a ten-minute interview: two speakers, a few proper names, a laugh over a music bed. MAI Transcribe 2 is the hosted option that returns text, speaker labels, and timestamps from one request. You still edit names. You do not stand up diarization, alignment, and a GPU queue just to get a first draft.

Whisper on the same file usually returns strong text. Then you add speaker clustering if you need “who said that,” and a forced aligner if you need captions. That stack is worth it when you already have it, or when the audio cannot leave the machine. It is extra work when you only wanted a readable transcript this afternoon.

Which one should you use?

  • Captions and call review: start with MAI Transcribe 2.
  • Offline, open-weight, or air-gapped pipelines: keep Whisper.
  • Need both? Draft here, then export to Whisper for local QA.
  • Unsure? Run one short file on the homepage and decide from the text, not the table.

Comparison questions

Is MAI Transcribe 2 more accurate than Whisper?

On Microsoft’s FLEURS table, MAI Transcribe 2 posts a lower average word error rate than Whisper-Large-V3 across the languages they published. That is a benchmark, not a guarantee. Noisy domain audio can still favor the model you already tuned. Test a real file before you migrate a pipeline.

Can Whisper do speaker diarization?

Not by itself in the same way. Whisper transcribes. Speaker labels usually come from a second model or clustering step. MAI Transcribe 2 includes diarization in the hosted request, which is why the comparison table lists it as built in.

Which model is cheaper?

Local Whisper is “free” if you ignore GPU time. Hosted Whisper APIs charge by minute. MAI Transcribe 2’s limited-time hosted offer is listed at $0.10 per hour of audio. This website’s consumer try is one file per IP per UTC day. Pick the cost model that matches whether you already own a GPU.

Should I replace Whisper with MAI Transcribe 2?

Replace it when you want a hosted multilingual model with diarization and you do not need open weights. Keep Whisper when audio cannot leave your network or when you pin a checkpoint. Many teams will run both: MAI Transcribe 2 for first drafts, Whisper for offline review.

Ready to try? Upload your audio now

Read the Whisper vs MAI article. MAI Transcribe 2 is not affiliated with Microsoft or OpenAI. Figures cited from public model write-ups.