Gladia vs OpenAI Whisper (API)

OpenAI Whisper (API) wins decisively on the heaviest attribute, batch pricing at $0.006 per audio minute versus Gladia at $0.010 per audio minute, a 40% cost advantage that matters enormously at call-center scale. However, Gladia wins on every other deciding attribute: speaker diarizationdiarization - Splitting a transcript by speaker, so you can see who said what. is included at no extra step while Whisper has none, PII redaction is included while Whisper offers none, and sentiment analysis is included while Whisper offers none. For QA and analytics workflows, diarization identifying which speaker said what is essentially non-negotiable, and its absence in Whisper is a critical gap. The cost lead Whisper holds is real and large, but the feature gaps on multiple weighted attributes make this genuinely balanced rather than a clear win for either side.

For batch pricing, OpenAI Whisper (API) charges 0.006 dollars per audio minute versus Gladia at 0.010 dollars per audio minute, a 40% cost advantage that matters heavily for metered usage at scale. On SDK breadth, OpenAI Whisper (API) supports Python, JS/TS,.NET, Ruby, Java, and Go, while Gladia covers only Python and JS/TS, giving developers broader language coverage. Both tools support word-level timestampsword-level timestamps - The API reports exactly when each word is spoken in the audio, for subtitles and highlighting. equally. OpenAI Whisper (API) handles flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, and webm, though its 25 MB file size cap is a constraint compared to Gladia's 1000 MB limit. Gladia wins on websocket streaming, which OpenAI Whisper (API) does not offer. Overall, the pricing edge and wider SDK support tip the balance toward OpenAI Whisper (API) on the two heaviest shared attributes.

The available facts cover API-level attributes such as batch pricing, word error rate, diarizationdiarization - Splitting a transcript by speaker, so you can see who said what., and streaming latency, but none of the five deciding attributes for dictation are directly addressed. There are no facts about dictation platform support, on-device versus cloud processing in a dictation context, AI formatting or editing features, one-time versus subscription app pricing, or app integrations for voice typing. Gladia offers a self-host option while OpenAI Whisper API does not, which hints at local processing potential, but no fact directly confirms dictation-specific local processing for either tool. Without facts covering the heaviest-weighted attributes, neither tool can be declared a winner.

Both Gladia and OpenAI Whisper (API) offer a HIPAA BAAHIPAA BAA - A signed Business Associate Agreement that lets you handle protected health information under US healthcare privacy law., clearing that gate requirement equally. On PII redaction, Gladia includes it natively while OpenAI Whisper (API) does not, giving Gladia a decisive edge on the second-heaviest attribute. Both support custom vocabulary for medical terminology boosting, and both hold SOC 2 Type II certification. On self-hosting, Gladia supports on-premises deployment while OpenAI Whisper (API) does not, adding a further compliance advantage for sensitive clinical environments. The combination of built-in PII redaction and self-host capability pushes Gladia ahead for clinical transcription under US healthcare privacy law.

For recorded meetings, speaker diarizationdiarization - Splitting a transcript by speaker, so you can see who said what. is the heaviest factor, and Gladia includes it while OpenAI Whisper (API) does not. Summarization is the second heaviest factor, and Gladia provides a built-in summarization endpoint while OpenAI Whisper (API) offers none. On language breadth, Gladia supports 101 languages versus 57 for OpenAI Whisper (API), a meaningful advantage for multilingual meetings. For long files, Gladia accepts up to 1000 MB and 135 minutes per request, whereas OpenAI Whisper (API) caps uploads at 25 MB, making Gladia far better suited to full-length recordings. Both tools provide word-level timestamps, so that factor is a draw. The combination of diarization, summarization, wider language coverage, and generous file limits makes Gladia the clear fit here.

For self-hostedself-host - Run the software on your own servers instead of the vendor’s cloud. deployment on your own hardware, the two most important factors are the self-host option and the model weights license. OpenAI Whisper's weights are released under the MIT license, making them freely usable on any hardware. Gladia explicitly supports a self-host option as well, but no open weights license is published for it. Since the use case specifically involves running an open-weight model on your own hardware, OpenAI Whisper is the only tool here with verified open model weights under a permissive license. Gladia offers on-premises deployment, but without open weights, users remain dependent on Gladia as a vendor even in self-hosted scenarios.

For voice agents, streaming latency and a WebSocket API are the two most critical requirements. Gladia offers a vendor-claimed 300 ms streaming latency and a confirmed WebSocket streaming API, while OpenAI Whisper has no WebSocket streaming capability at all, making real-time voice-bot feeding essentially impossible through that API. On streaming price, Gladia charges 0.013 per audio minute versus no comparable streaming tier for Whisper. Concurrencyconcurrency - How many phone calls the platform can handle at the same time. favors Whisper at up to 10,000 RPM at Tier 5 versus Gladia's 30 real-time concurrent streams, but this secondary attribute cannot offset the disqualifying absence of streaming support in Whisper. Both tools support custom vocabulary. The lack of a WebSocket API alone rules Whisper out for this use case.