Deepgram vs Gladia

For high-volume call center transcription, per-minute batch cost is the dominant factor. Deepgram charges 0.004 per audio minute versus Gladia's 0.010, making Deepgram 2.5 times cheaper at the base rate. On diarizationdiarization - Splitting a transcript by speaker, so you can see who said what., Gladia includes it in the base price, but Deepgram's total with diarization added is 0.006 per minute, still 40% cheaper than Gladia's base rate. Stacking both diarization and PII redaction brings Deepgram to 0.008 per minute, still below Gladia's base rate. Deepgram also supports higher concurrency at 50 REST and 150 websocket connections versus Gladia's 25 async and 30 real-time, which matters at peak call volumes. Both tools support sentiment analysis. The cost advantage at scale is decisive.

On the two heaviest attributes, Deepgram leads decisively. Its batch price is 0.004 dollars per audio minute versus Gladia's 0.010, making it 2.5x cheaper for metered usage. On SDK quality, Deepgram ships six official SDKs covering JS/TS, Python,.NET, Go, Java, and Rust, while Gladia offers only Python and JS/TS. Both tools support websocket streaming, word-level timestampsword-level timestamps - The API reports exactly when each word is spoken in the audio, for subtitles and highlighting., and language auto-detection equally. On audio format flexibility, Deepgram supports 100+ formats including MP3, MP4, WAV, FLAC, Ogg, Opus, and WebM, while Gladia's published formats list only AAC. Deepgram's combination of lower cost, broader SDK ecosystem, and wider format support makes it the clear winner for developers building transcription into products.

The deciding attributes for this use case are dictation platforms, local versus cloud processing, AI formatting features, app pricing, and app integrations. Neither Gladia nor Deepgram has verified data on any of these attributes. Both are API-level speech recognition services, and no facts address whether either offers a native dictation app, on-device processing, formatting features, one-time versus subscription pricing, or system-wide integrations. The available facts cover transcription accuracy, streaming latency of 300 ms for both, and per-minute pricing, but none of these map to the attributes that matter here. With no relevant evidence to weigh, a genuine tie is the only defensible finding.

Both tools offer a HIPAA BAAHIPAA BAA - A signed Business Associate Agreement that lets you handle protected health information under US healthcare privacy law., SOC 2 Type II, and self-host options, so those attributes do not differentiate them. On PII redaction, Gladia includes it at no extra charge while Deepgram charges an additional 0.002 dollars per audio minute as a paid add-on. Custom vocabulary is equal between the two. The tiebreaker falls to total cost of ownership for clinical workflows: Deepgram's base batch rate is 0.004 versus Gladia's 0.01 per audio minute, and once Deepgram's PII add-on is included the effective rate is 0.006, still below Gladia's base rate of 0.01. Deepgram also offers broader SDK support across six languages versus two for Gladia, which matters for clinical integration. These cost and integration advantages tip a close decision toward Deepgram.

For meeting transcription, speaker diarizationdiarization - Splitting a transcript by speaker, so you can see who said what. carries the most weight. Gladia includes diarization at no extra cost, while Deepgram charges an additional 0.002 dollars per audio minute as a paid add-on. On summarization, both tools offer it, so that factor is a wash. Gladia supports 101 languages versus Deepgram's 50, a meaningful advantage for multilingual meeting content. For file handling, Deepgram allows up to 2 GB per file while Gladia caps at 1000 MB, giving Deepgram a slight edge there. Word-level timestamps are available from both. Overall, the diarization cost advantage and broader language coverage tip the balance to Gladia, though Deepgram's larger file size limit keeps it close.

Both tools confirm a self-hostself-host - Run the software on your own servers instead of the vendor’s cloud. or on-prem option is available, so neither leads on the heaviest attribute. The facts do not include model weights license, hardware requirements, project maintenance status, or model size for either tool. Since the two decisive attributes at weights 5/5 and 4/5 have no published facts beyond the shared self-host confirmation, there is no basis to separate them on the criteria that matter most for this use case.

Both tools match on streaming latency at 300 ms and both offer websocket streaming APIs, so the top two attributes are tied. The decisive gap opens at streaming price: Deepgram charges 0.005 per audio minute versus Gladia at 0.013, making Deepgram 2.6x cheaper for continuous voice agent traffic. On concurrencyconcurrency - How many phone calls the platform can handle at the same time., Deepgram offers 50 REST and 150 websocket concurrent connections on its pay-as-you-go plan, compared to Gladia's 30 real-time concurrent slots, giving Deepgram a meaningful capacity advantage for scaling voice bots. Both tools include custom vocabulary boosting. The price and concurrency leads together make Deepgram the clear winner for cost-sensitive, high-throughput voice agent deployments.