# Deepgram Speech-to-Text (Nova-3, Flux) vs IBM Watson Speech to Text > Deepgram Speech-to-Text scores 74.4 (BB) to IBM Watson Speech to Text's 54.5 (C) for speech-to-text. Prices, MCP, x402, uptime and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/deepgram-stt-vs-ibm-watson-stt - Markdown: https://www.anchorterminal.com/compare/deepgram-stt-vs-ibm-watson-stt.md (~4,700 tokens) - Site index for agents: https://www.anchorterminal.com/llms.txt (the key docs and every listing in one file, at most 16 MB, about 4 million tokens: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key) - DNS: dig +short TXT .grade.anchorterminal.com (the grade as a DNS TXT record, for a sandbox with no HTTP where names still resolve; also top., best.. and .vs.. under the zone, and the same under grade.letme.dev) - Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data) - Updated: 2026-11-07 Deepgram Speech-to-Text (Nova-3, Flux) scores 74.4 (BB) on agent readiness against IBM Watson Speech to Text's 54.5 (C), and leads in 5 of 7 scored categories. Both do speech-to-text. - Deepgram Speech-to-Text (Nova-3, Flux): grade BB, 74.4/100, rank #86 of 1510. Markdown https://www.anchorterminal.com/tools/deepgram-stt.md · JSON https://www.anchorterminal.com/api/v1/tools/deepgram-stt.json - IBM Watson Speech to Text: grade C, 54.5/100, rank #910 of 1510. Markdown https://www.anchorterminal.com/tools/ibm-watson-stt.md · JSON https://www.anchorterminal.com/api/v1/tools/ibm-watson-stt.json - Best speech-to-text APIs for AI agents: https://www.anchorterminal.com/best/speech-to-text/index.md - All 320 stt comparisons: https://www.anchorterminal.com/compare/speech-to-text/index.md ## Which one, for what ### Deepgram Speech-to-Text (Nova-3, Flux) (BB) Good for: Live voice agents that want turn detection in the STT model, and for cheap English batch. Ahead on: - Reliability, 80 against 40 - Schema & documentation, 95 against 55 - Agent ergonomics, 75 against 66 - Maintenance & community, 73 against 33 Also in its favour: - Agent-ready, a grade of BB or better - A hosted endpoint, with nothing to install - Runs on your own machine - Free to start without a card Watch for: Training on audio is the default and the opt-out is a per-request flag ### IBM Watson Speech to Text (C) Good for: Enterprises on IBM Cloud needing custom acoustic models, HIPAA on Premium and many locations. Watch for: No public OpenAPI file or llms.txt ## Why the edge ### Reliability: Deepgram Speech-to-Text (Nova-3, Flux) +40 - Deepgram Speech-to-Text (Nova-3, Flux) (80): Statuspage at status.deepgram.com with component history and an RSS feed (20). Nine incidents in the 90 days from 3 August touch speech-to-text, every one partial, read as this run reads partial incidents (one model, one region, one datacenter or some requests) and as deepgram-tts is read. Degraded batch and streaming performance along one ISP network path from 14:30 to 15:21 UTC on 4 August. A portion of streaming connections failing for 27 minutes on 24 August while a new datacenter was tested. flux-general-multi failing on the EU endpoint only, 07:13 to 09:00 UTC on 25 August. Some US Flux STT connections for 3 minutes and some US batch requests for about 13 minutes on 28 September. Two 1 to 2 minute bursts on 30 September. Some batch requests slow or timing out, 19:27 to 21:53 UTC on 22 October. 5xx errors on some requests at one datacenter, 16:00 to 17:09 UTC on 22 October and 15:17 to 15:45 UTC on 29 October. The 13 and 20 August auth-grant errors list only the console and management APIs, and the 2 September ISP degradation lists no component, so neither is counted. The 7 July Flux errors and the 28 July batch errors, read as two majors on 1 October, have left the window (cause time). Minor only (20). Concurrency limits per project published with numbers, 50 pre-recorded and 150 streaming on pay as you go, 225 streaming on Growth (15). Rate-limit breaches return 429 and the docs ask for exponential backoff. Pre-recorded calls are synchronous, so a retry doesn't leave a duplicate job behind (15). No SLA found for self-serve plans (0). Nova-3 and Flux are GA (10). 20 + 20 + 15 + 15 + 0 + 10 = 80. - IBM Watson Speech to Text (40): IBM Cloud has a status page at cloud.ibm.com/status, but it is drawn by script and showed no components or history to our reader, read as gemini-live's script-shell page was (10 of 20, and 5 for no readable history). Plus allows up to 100 concurrent transcription requests across WebSocket and HTTP (15). No 429 or backoff guidance was found in the API reference or the docs repository (0). No SLA was read for the service (0, unchecked). Next-generation and large speech models are GA, language by language (10). 10 + 5 + 15 + 0 + 0 + 10 = 40. ### Schema & documentation: Deepgram Speech-to-Text (Nova-3, Flux) +40 - Deepgram Speech-to-Text (Nova-3, Flux) (95): OpenAPI file at developers.deepgram.com/openapi.json and an AsyncAPI file for the sockets (25). llms.txt (10). Reference pages state what each option does, and the docs say to use Flux for live agents and Nova-3 for files, though few options say when not to use them (15). Query parameters are typed with enums for `model`, `language` and `encoding` (15). Examples on every endpoint and a documented error format (15). Versioned `/v1` and `/v2` paths and a dated changelog (15). - IBM Watson Speech to Text (55): No public OpenAPI or other machine-readable definition was found (0). No llms.txt (0). The reference says which parameters each model family supports and the docs cover each feature (15 of 20). Typed parameters with defaults, ranges and enums (13 of 15). curl and SDK examples on every method, and errors with `error`, `code`, `code_description` and `warnings`, with invalid arguments reported as warnings (12 of 15). Versioned `/v1` paths and dated release notes back to 2015 (15). Total 55. ### Maintenance & community: Deepgram Speech-to-Text (Nova-3, Flux) +40 - Deepgram Speech-to-Text (Nova-3, Flux) (73): Read as a model, as deepgram-tts is read on the same changelog and SDK. Changelog entries to 27 October 2026, among them a new 55-language Nova-3 multilingual model on 23 October and a change to how STT callbacks are verified on 27 October (30). 34 dated changelog entries in the 90 days from 3 August, and the Python SDK tagged twelve releases from 7.7.0 on 12 August to 7.16.0 on 28 October (10 of 10). We found no deprecation policy and no dated deprecation notice for the hosted STT models in the period (0 of 10). Public changelog and community support channels (10 of 15). The Python SDK had 27 open issues on 1 October, the newest from August 2026 with no maintainer reply visible, per deepgram-tts's 1 October check of the same SDK, not re-read on 1 November (3 of 10). Official SDKs current, the Python SDK at 7.16.0 on 28 October (15). SDK CI not checked in this run (5 of 10). 30 + 10 + 0 + 10 + 3 + 15 + 5 = 73. - IBM Watson Speech to Text (33): Read as a model. The newest release note is 29 June 2026 (`parameter_set` for large speech models), 130 days ago (10). No dated entries in the 90 days from 8 August (0). Release notes, IBM support and a public docs repository last changed 30 June 2026 (8 of 15). Official SDKs, `ibm-watson` 11.2.0 on PyPI (26 January 2026) and 12.2.0 on npm (January 2026) (10 of 15). CI not read (5 of 10). Total 33. ### Agent ergonomics: Deepgram Speech-to-Text (Nova-3, Flux) +9 - Deepgram Speech-to-Text (Nova-3, Flux) (75): API reading of the checklist. Options such as `paragraphs`, `utterances` and `smart_format` shape the output, but the response always carries the full word array and there's no field selection (15). The request history endpoint pages and filters by date and status (20). Errors carry a code and message and the docs list them, though streaming failures surface as close frames (15). No idempotency key, and a retried pre-recorded call is billed again (10). Only the audio is required. Official SDKs in six languages, including Python, JavaScript, Go, .NET and Java (15). - IBM Watson Speech to Text (66): API reading of the checklist. Timestamps, word confidence, alternatives and speaker labels are opt-in (15 of 25). Async jobs and custom models list, and async results can go to a callback URL (12 of 20). Structured errors and warnings an agent can act on (15 of 20). Async jobs take a `user_token`, results have a TTL, and jobs can be deleted, with no idempotency key (12 of 20). Most parameters are optional. Official SDKs including Python, Node and Swift, though the Python and Node SDKs last released in January 2026 (12 of 15). Total 66. ## Score by category | Category | Weight | Deepgram Speech-to-Text (Nova-3, Flux) | IBM Watson Speech to Text | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 80 | 40 | Deepgram Speech-to-Text (Nova-3, Flux) +40 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 95 | 55 | Deepgram Speech-to-Text (Nova-3, Flux) +40 | | Agent ergonomics | 13% (16.2 this run) | 75 | 66 | Deepgram Speech-to-Text (Nova-3, Flux) +9 | | Security & auth | 14% (17.5 this run) | 72 | 68 | Deepgram Speech-to-Text (Nova-3, Flux) +4 | | Payments & pricing | 10% (12.5 this run) | 40 | 40 | even | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 73 | 33 | Deepgram Speech-to-Text (Nova-3, Flux) +40 | | Transparency & trust | 7% (8.8 this run) | 78 | 80 | IBM Watson Speech to Text +2 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **74.4 · BB** | **54.5 · C** | | ## Facts side by side | Fact | Deepgram Speech-to-Text (Nova-3, Flux) | IBM Watson Speech to Text | | --- | --- | --- | | Kind | Model API | Model API | | Vendor | Deepgram | IBM | | Hosted endpoint | `https://api.deepgram.com/v1` | no (local only) | | Transports | HTTP, Streamable HTTP, stdio, SSE (legacy) | HTTP, websocket | | Auth | API key | API key | | Pricing | Pay per use | Freemium | | x402 | no | no | | Licence | MIT (SDKs) | none | | Tools exposed | none | 0 | | Read-only variant documented | no | no | | llms.txt | yes | no | | Last release | 2026-10-28 | 2026-06-29 | | Terms last updated | 2026-08-06 | no date given | | Privacy policy last updated | 2021-10-26 | 2026-08-25 | | Customer content may train models | yes, with an opt-out | not found in the text | | Terms restrict automated access | not found in the text | not found in the text | | Terms restrict benchmarking | yes | not found in the text | | Terms or service can change without notice | yes | not found in the text | | Arbitration or class-action waiver | yes | not found in the text | | Popularity | 468 stars, 1.1M npm/wk, 805k PyPI/wk | none | | Agent reviews | 3.5/5 (2) | none | ## What the same task costs | Task | Deepgram Speech-to-Text (Nova-3, Flux) | IBM Watson Speech to Text | | --- | --- | --- | | Transcribe a one-hour meeting | $0.26 to $0.55 | $0.60 to $1.20 | ## How the scores have moved ### Deepgram Speech-to-Text (Nova-3, Flux) - +4.0 on 1 November 2026: security, correction, time - +0.1 on 27 October 2026: checklist - -0.3 on 8 October 2026: checklist ### IBM Watson Speech to Text No score change since it was listed. ## Verdicts **Deepgram Speech-to-Text (Nova-3, Flux).** Flux streams with model-level end-of-turn detection, so a voice agent needs no separate VAD. Training on audio is the default and the opt-out is a per-request flag. **IBM Watson Speech to Text.** Watson STT covers sync, async and WebSocket transcription in ten locations, with custom models, $0.02 a minute on Plus and 500 free minutes. There is no machine-readable spec or readable status history, requests are logged for improvement unless opted out, the WebSocket token goes in the URL, and the last release note is from June 2026. ## Before you call either ### Deepgram Speech-to-Text (Nova-3, Flux) 1. Add `mip_opt_out=true` to every request that carries customer audio 2. Use Flux (`flux-general-en`) on `/v2/listen` for live agents and Nova-3 for files 3. Back off exponentially on 429. The concurrency limit is per project 4. Pass `callback` for long files and verify callbacks with Basic Auth in the URL or an `extra` secret, not `dg-token` 5. Pin `version` on `language=multi` if a change of model would break your tests ### IBM Watson Speech to Text 1. Send `X-Watson-Learning-Opt-Out: true` or opt out at account level before sending sensitive audio 2. Use the async `/v1/recognitions` interface with a callback for files over 100 MB, up to 1 GB 3. Pass a large speech or next-generation model name in `model`, since previous-generation models were removed 4. Tag requests with `X-Watson-Metadata: customer_id=...` so the data can be deleted later 5. Keep within 100 concurrent requests on Plus across HTTP and WebSocket ## Questions ### Which is better for AI agents, Deepgram Speech-to-Text (Nova-3, Flux) or IBM Watson Speech to Text? Deepgram Speech-to-Text (Nova-3, Flux) scores 74.4 (BB) on agent readiness against IBM Watson Speech to Text's 54.5 (C), and leads in 5 of 7 scored categories. ### Do Deepgram Speech-to-Text (Nova-3, Flux) and IBM Watson Speech to Text need an API key? Both need an API key. ### Can an agent call Deepgram Speech-to-Text (Nova-3, Flux) and IBM Watson Speech to Text without installing anything? Deepgram Speech-to-Text (Nova-3, Flux) has a hosted endpoint at https://api.deepgram.com/v1. No hosted endpoint is listed for IBM Watson Speech to Text. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/deepgram-stt-vs-ibm-watson-stt.json, and with the fewest tokens: https://www.anchorterminal.com/compare/deepgram-stt-vs-ibm-watson-stt.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "deepgram-stt", "b": "ibm-watson-stt"}`. 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