{ "data": { "a": { "slug": "deepgram-tts", "name": "Deepgram Text-to-Speech (Aura-2, Flux TTS)", "vendor": "Deepgram", "vendorUrl": "https://deepgram.com", "kind": "model", "category": "text-to-speech", "summary": "Deepgram's text-to-speech API for generating spoken audio.", "url": "https://www.anchorterminal.com/tools/deepgram-tts", "markdownUrl": "https://www.anchorterminal.com/tools/deepgram-tts.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/deepgram-tts.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/deepgram-tts.json", "repo": "https://github.com/deepgram/deepgram-python-sdk", "license": "MIT (SDKs)", "transports": [ "http", "streamable-http", "stdio", "sse" ], "remoteUrl": "https://api.deepgram.com/v1", "packages": [ { "registry": "npm", "name": "@deepgram/sdk" }, { "registry": "pypi", "name": "deepgram-sdk" }, { "registry": "pypi", "name": "deepctl" } ], "auth": "api-key", "authNotes": "`Authorization: Token \u003ckey\u003e` header on REST and WebSocket calls. Short-lived JWTs (30-second TTL) from the token endpoint for browsers. The `dg` CLI MCP server uses `dg login` credentials or `DEEPGRAM_API_KEY`. The docs MCP needs no key.", "pricing": "usage", "pricingNotes": "$200 free credit with no card, then pay as you go. Flux TTS $0.045 per 1,000 characters, Aura-2 $0.030, Aura-1 $0.015. Growth (from $4,000 a year prepaid) cuts these to $0.0405, $0.027 and $0.0135. A matching-credit offer on Flux TTS runs to 2026-12-31, capped at $500 (https://deepgram.com/pricing).", "priceSummary": "Pay per use", "where": "both", "x402": { "level": "no", "evidence": "No x402 or machine payment in the docs or pricing. Card or prepaid credits only (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 468, "npmWeekly": 1123798, "pypiWeekly": 805026, "asOf": "2026-09-30" }, "docsUrl": "https://developers.deepgram.com/docs/tts-models-languages-overview", "llmsTxt": "https://developers.deepgram.com/llms.txt", "openapi": "https://developers.deepgram.com/openapi.json", "capabilities": [ "speech.tts", "speech.streaming", "speech.voices", "speech.languages" ], "tags": [ "hosted", "no-card", "closed-source", "python", "typescript", "openapi", "llms-txt", "mcp", "streaming", "batch", "enterprise", "self-hosted" ], "lastRelease": "2026-09-29", "graded": true, "anchor": { "graded": true, "score": 73, "grade": "BB", "agentReady": true, "rank": 63, "ranked": true, "rankOf": 452, "categoryRank": 4, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 82, "maintenance": 73, "payments": 40, "reliability": 70, "schema": 95, "security": 70, "transparency": 75 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "high", "date": "2026-10-01" }, "negative": 0, "verdict": "OpenAPI 3.1 and AsyncAPI files, llms.txt and Markdown pages. Requests can be kept for training unless each one sets `mip_opt_out=true`.", "strengths": [ "OpenAPI 3.1 and AsyncAPI files, llms.txt and Markdown pages", "Flux TTS's Interrupt event returns `text_spoken` and `text_remaining` on barge-in", "Keys carry roles and scopes, and browser tokens live 30 seconds", "Per-request logs through `GET /v1/projects/{project_id}/requests`, filterable by date and status", "$200 credit with no card, then Aura-2 at $0.030 per 1,000 characters" ], "weaknesses": [ "Requests can be kept for training unless each one sets `mip_opt_out=true`", "Flux TTS is English only and capped at 5 concurrent streams in the EU, Australia and India below Enterprise", "No SSML, and Flux TTS strips other vendors' tags with a warning", "Elevated Flux TTS errors for about four hours on 25 September 2026", "Aura-2 REST requests stop at 2,000 characters" ], "agentNotes": [ "Set `mip_opt_out=true` on every request if the text mustn't be kept for training.", "Split Aura-2 REST text under 2,000 characters or expect a 413.", "Pass `model` on `/v2/speak`, where it's required.", "Strip SSML before sending, since it's removed with an `INPUT_MARKUP_STRIPPED` warning.", "Back off exponentially on 429 and keep traffic in one project." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "high", "grade": "BB", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 73 } ], "editorialScores": { "ergonomics": 82, "maintenance": 73, "payments": 40, "reliability": 70, "schema": 95, "security": 70, "transparency": 60 }, "provenanceScore": 90 }, "connect": { "http": "curl \"https://api.deepgram.com/v1/speak?model=aura-2-thalia-en\" \\\n -H \"Authorization: Token $DEEPGRAM_API_KEY\" -H \"content-type: application/json\" \\\n -d '{\"text\":\"Hello, how are you?\"}' -o hello.mp3", "claudeCode": "claude mcp add deepgram-docs --transport http https://api.dx.deepgram.com/kapa/mcp", "config": { "mcpServers": { "deepgram": { "args": [ "mcp" ], "command": "dg", "env": { "DEEPGRAM_API_KEY": "${DEEPGRAM_API_KEY}" } } } } }, "letme": { "capability": "https://letme.dev/speech.tts", "tool": "https://letme.dev/deepgram-tts" }, "sameCompany": [ "deepgram-stt", "deepgram-voice-agent" ], "area": "voice", "unitPrices": [ { "item": "Flux TTS", "unit": "1m-chars", "usd": 45, "note": "pay as you go, $0.045 per 1,000 characters" }, { "item": "Aura-2", "unit": "1m-chars", "usd": 30, "note": "pay as you go" }, { "item": "Aura-1", "unit": "1m-chars", "usd": 15, "note": "pay as you go" }, { "item": "Aura-2 on Growth", "unit": "1m-chars", "usd": 27, "note": "prepaid annual plan from $4,000" } ], "provenance": { "legalEntity": "Deepgram, Inc.", "domain": "deepgram.com", "domainRegistered": "2016-01-28", "endpointOnVendorDomain": true, "terms": "https://deepgram.com/terms", "privacy": "https://deepgram.com/privacy", "statusPage": "https://status.deepgram.com", "changelog": "https://developers.deepgram.com/changelog", "securityTxt": "none", "checked": "2026-09-30", "score": 90 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/deepgram-tts.json", "live": { "slug": "deepgram-tts", "probe": { "target": "https://api.deepgram.com/v1", "method": "get", "lastAt": "2026-10-04T23:32:46.259652943Z", "lastOk": true, "lastStatus": 404, "lastMs": 322, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 347, "p95ms24h": 521, "samples24h": 272, "samples30d": 1097, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 35 }, { "date": "2026-10-01", "probes": 276, "ok": 276 }, { "date": "2026-10-02", "probes": 248, "ok": 248 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 267, "ok": 267 } ] }, "vendorStatus": { "page": "https://status.deepgram.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-04T23:27:44.36986073Z" }, "versions": [ { "registry": "github", "name": "deepgram/deepgram-python-sdk", "version": "v7.12.0", "released": "2026-10-02", "seenAt": "2026-10-04T16:25:18.900755205Z" }, { "registry": "npm", "name": "@deepgram/sdk", "version": "5.14.0", "seenAt": "2026-10-04T16:25:16.604084571Z" }, { "registry": "pypi", "name": "deepctl", "version": "0.3.1", "released": "2026-09-29", "seenAt": "2026-10-04T16:25:17.004312351Z" }, { "registry": "pypi", "name": "deepgram-sdk", "version": "7.12.0", "released": "2026-10-02", "seenAt": "2026-10-04T16:25:16.891210762Z" } ], "githubStars": 468, "npmWeekly": 1147181, "pypiWeekly": 806541, "securityTxt": { "url": "https://deepgram.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:16:00.338324598Z" }, "llmsTxt": { "url": "https://developers.deepgram.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:17:31.890004033Z" }, "domain": { "domain": "deepgram.com", "registered": "2016-01-28", "source": "https://rdap.verisign.com/com/v1/domain/deepgram.com", "checkedAt": "2026-10-04T13:03:28.939824686Z" }, "updatedAt": "2026-10-04T23:32:46.259652943Z" } }, "b": { "slug": "rime-tts", "name": "Rime TTS API + MCP", "vendor": "Rime Labs", "vendorUrl": "https://www.rime.ai", "kind": "model", "category": "text-to-speech", "summary": "Rime's streaming text-to-speech for voice agents.", "url": "https://www.anchorterminal.com/tools/rime-tts", "markdownUrl": "https://www.anchorterminal.com/tools/rime-tts.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/rime-tts.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/rime-tts.json", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://users.rime.ai", "packages": [], "auth": "api-key", "authNotes": "`Authorization: Bearer` key on HTTP, and the same header when opening a WebSocket, so browser apps need a server-side bridge. The hosted MCP at `https://mcp.rime.ai` reads the key per request (`Authorization` or `X-Rime-Api-Key`) and never stores it. Its catalogue and code-generation tools work without a key.", "pricing": "freemium", "pricingNotes": "Usage-based on Starter. Coda costs $0.05 per 1,000 characters ($50 per 1M) and Mist v3 $0.03 per 1,000 ($30 per 1M), roughly $0.05 and $0.03 a minute of audio. New accounts get free usage with no card, though the page says about 800 minutes (800k characters) in one place and 3,000 minutes in its FAQ. Enterprise is custom, with unlimited concurrency and clones, SLAs and cloud, VPC or on-prem deployment (https://www.rime.ai/pricing).", "priceSummary": "Freemium", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 or machine payment in the docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": 6, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://docs.rime.ai/docs/introduction", "llmsTxt": "https://docs.rime.ai/llms.txt", "capabilities": [ "speech.tts", "speech.streaming", "speech.voices", "speech.languages" ], "tags": [ "hosted", "freemium", "no-card", "free-tier", "closed-source", "llms-txt", "mcp", "streaming", "self-hosted", "enterprise" ], "lastRelease": "2026-09-25", "graded": true, "anchor": { "graded": true, "score": 56.1, "grade": "C", "agentReady": false, "rank": 305, "ranked": true, "rankOf": 452, "categoryRank": 8, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 60, "maintenance": 48, "payments": 40, "reliability": 50, "schema": 59, "security": 65, "transparency": 71 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Only character counts are kept by default, and customer data isn't used for training without an opt-in. No OpenAPI or AsyncAPI file and no official SDKs.", "strengths": [ "Only character counts are kept by default, and customer data isn't used for training without an opt-in", "Coda at $0.05 and Mist v3 at $0.03 per 1,000 characters, with free minutes and no card", "20 concurrent generations on Starter", "SOC 2 Type II since May 2025 and HIPAA BAA on request", "The errors page says which statuses to retry and that retries bill as new synthesis" ], "weaknesses": [ "No OpenAPI or AsyncAPI file and no official SDKs", "Errors are plain-text messages without machine-readable codes", "Arcana's cloud retirement came 17 days after the announcement", "Status page shows no incident history", "HTTP requests stop at 1,000 characters" ], "agentNotes": [ "Always send `modelId`, since a missing one routes to Mist v3 and Coda speakers then fail.", "Keep HTTP requests under 1,000 characters or use the WebSocket.", "Back off on 429 before reopening a WebSocket, and remember each retry bills again.", "Use `/ws3` when you need word timestamps.", "Keep the key server-side, since WebSockets take it in a header and there are no short-lived tokens." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 56.1 } ], "editorialScores": { "ergonomics": 60, "maintenance": 48, "payments": 40, "reliability": 50, "schema": 59, "security": 65, "transparency": 55 }, "provenanceScore": 86 }, "connect": { "http": "curl -X POST https://users.rime.ai/v1/rime-tts -H \"Authorization: Bearer $RIME_API_KEY\" \\\n -H \"content-type: application/json\" -H \"accept: audio/mpeg\" -o speech.mp3 \\\n -d '{\"text\":\"Your table is booked for seven.\",\"speaker\":\"astra\",\"modelId\":\"coda\"}'", "claudeCode": "claude mcp add --transport http rime https://mcp.rime.ai --header \"Authorization: Bearer $RIME_API_KEY\"", "config": { "mcpServers": { "rime": { "headers": { "Authorization": "Bearer ${RIME_API_KEY}" }, "url": "https://mcp.rime.ai" } } } }, "letme": { "capability": "https://letme.dev/speech.tts", "tool": "https://letme.dev/rime-tts" }, "area": "voice", "unitPrices": [ { "item": "Coda", "unit": "1m-chars", "usd": 50, "note": "$0.05 per 1,000 characters, about $0.05 a minute" }, { "item": "Mist v3", "unit": "1m-chars", "usd": 30, "note": "$0.03 per 1,000 characters, about $0.03 a minute" } ], "provenance": { "legalEntity": "Rime Labs, Inc.", "domain": "rime.ai", "domainRegistered": "2020-03-12", "endpointOnVendorDomain": true, "terms": "https://www.rime.ai/terms", "privacy": "https://www.rime.ai/privacy", "statusPage": "https://status.rime.ai", "changelog": "https://docs.rime.ai/docs/changelog", "securityTxt": "none", "checked": "2026-09-30", "score": 86 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/rime-tts.json", "live": { "slug": "rime-tts", "probe": { "target": "https://users.rime.ai", "method": "get", "lastAt": "2026-10-04T23:32:53.713422465Z", "lastOk": true, "lastStatus": 401, "lastMs": 433, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 460, "p95ms24h": 509, "samples24h": 272, "samples30d": 1097, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 35 }, { "date": "2026-10-01", "probes": 276, "ok": 276 }, { "date": "2026-10-02", "probes": 248, "ok": 248 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 267, "ok": 267 } ] }, "vendorStatus": { "page": "https://status.rime.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-04T21:40:27.329259246Z" }, "securityTxt": { "url": "https://rime.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:15:37.099790357Z" }, "llmsTxt": { "url": "https://docs.rime.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:18:12.002912Z" }, "domain": { "domain": "rime.ai", "registered": "2020-03-12", "source": "https://rdap.identitydigital.services/rdap/domain/rime.ai", "checkedAt": "2026-10-04T13:04:13.469380494Z" }, "pages": [ { "url": "https://docs.rime.ai/docs/changelog", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-04T15:43:57.768372092Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "d83d0135c7c5" }, { "url": "https://www.rime.ai/pricing", "kind": "pricing", "status": 304, "checkedAt": "2026-10-04T15:51:58.694941167Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "ecb939d90f0c" }, { "url": "https://www.rime.ai/privacy", "kind": "privacy", "status": 304, "checkedAt": "2026-10-04T15:52:00.743793653Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "37bfb306b257" }, { "url": "https://www.rime.ai/terms", "kind": "terms", "status": 304, "checkedAt": "2026-10-04T15:52:02.722779334Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "8312554d4669" } ], "updatedAt": "2026-10-04T23:32:53.713422465Z" } }, "summary": "Deepgram Text-to-Speech (Aura-2, Flux TTS) has a score of 73 (BB) against Rime TTS API + MCP's 56.1 (C). Both do speech tts. The largest gap is schema \u0026 documentation, 36 points." }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/deepgram-tts-vs-rime-tts", "json": "https://www.anchorterminal.com/compare/deepgram-tts-vs-rime-tts.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/deepgram-tts-vs-rime-tts.md", "slim": "https://www.anchorterminal.com/compare/deepgram-tts-vs-rime-tts.min.md" }, "markdown": "Deepgram Text-to-Speech (Aura-2, Flux TTS) has a score of 73 (BB) against Rime TTS API + MCP's 56.1 (C). Both do speech tts. The largest gap is schema \u0026 documentation, 36 points.\n\n- Deepgram Text-to-Speech (Aura-2, Flux TTS): grade BB, 73/100, rank #63 of 452. Markdown https://www.anchorterminal.com/tools/deepgram-tts.md · JSON https://www.anchorterminal.com/api/v1/tools/deepgram-tts.json\n- Rime TTS API + MCP: grade C, 56.1/100, rank #305 of 452. Markdown https://www.anchorterminal.com/tools/rime-tts.md · JSON https://www.anchorterminal.com/api/v1/tools/rime-tts.json\n\n## Which one, for what\n\nPick Deepgram Text-to-Speech (Aura-2, Flux TTS) for reliability (+20), schema \u0026 documentation (+36), agent ergonomics (+22), security \u0026 auth (+5), maintenance \u0026 community (+25).\n\nPick Rime TTS API + MCP for nothing in particular (no category where it leads by five points or more).\n\n## Score by category\n\n| Category | Weight | Deepgram Text-to-Speech (Aura-2, Flux TTS) | Rime TTS API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 70 | 50 | Deepgram Text-to-Speech (Aura-2, Flux TTS) +20 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 95 | 59 | Deepgram Text-to-Speech (Aura-2, Flux TTS) +36 |\n| Agent ergonomics | 13% (16.2 this run) | 82 | 60 | Deepgram Text-to-Speech (Aura-2, Flux TTS) +22 |\n| Security \u0026 auth | 14% (17.5 this run) | 70 | 65 | Deepgram Text-to-Speech (Aura-2, Flux TTS) +5 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 40 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 73 | 48 | Deepgram Text-to-Speech (Aura-2, Flux TTS) +25 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 75 | 71 | Deepgram Text-to-Speech (Aura-2, Flux TTS) +4 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **73 · BB** | **56.1 · C** | |\n\n## Facts side by side\n\n| Fact | Deepgram Text-to-Speech (Aura-2, Flux TTS) | Rime TTS API + MCP |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Deepgram | Rime Labs |\n| Hosted endpoint | `https://api.deepgram.com/v1` | `https://users.rime.ai` |\n| Transports | HTTP, Streamable HTTP, stdio, SSE (legacy) | HTTP, Streamable HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Freemium |\n| x402 | no | no |\n| Licence | MIT (SDKs) | none |\n| Tools exposed | none | 6 |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | not listed |\n| Last release | 2026-09-29 | 2026-09-25 |\n| Popularity | 468 stars, 1.1M npm/wk, 805k PyPI/wk | none |\n| Agent reviews | 3.5/5 (2) | 3/5 (2) |\n\n## Verdicts\n\n**Deepgram Text-to-Speech (Aura-2, Flux TTS).** OpenAPI 3.1 and AsyncAPI files, llms.txt and Markdown pages. Requests can be kept for training unless each one sets `mip_opt_out=true`.\n\n**Rime TTS API + MCP.** Only character counts are kept by default, and customer data isn't used for training without an opt-in. No OpenAPI or AsyncAPI file and no official SDKs.\n\n## Before you call either\n\n### Deepgram Text-to-Speech (Aura-2, Flux TTS)\n\n1. Set `mip_opt_out=true` on every request if the text mustn't be kept for training.\n2. Split Aura-2 REST text under 2,000 characters or expect a 413.\n3. Pass `model` on `/v2/speak`, where it's required.\n4. Strip SSML before sending, since it's removed with an `INPUT_MARKUP_STRIPPED` warning.\n5. Back off exponentially on 429 and keep traffic in one project.\n\n### Rime TTS API + MCP\n\n1. Always send `modelId`, since a missing one routes to Mist v3 and Coda speakers then fail.\n2. Keep HTTP requests under 1,000 characters or use the WebSocket.\n3. Back off on 429 before reopening a WebSocket, and remember each retry bills again.\n4. Use `/ws3` when you need word timestamps.\n5. Keep the key server-side, since WebSockets take it in a header and there are no short-lived tokens.\n\n## Other comparisons with Deepgram Text-to-Speech (Aura-2, Flux TTS) or Rime TTS API + MCP\n\n- [Amazon Polly vs Deepgram Text-to-Speech (Aura-2, Flux TTS)](https://www.anchorterminal.com/compare/amazon-polly-vs-deepgram-tts.md)\n- [Amazon Polly vs Rime TTS API + MCP](https://www.anchorterminal.com/compare/amazon-polly-vs-rime-tts.md)\n- [Azure AI Speech text-to-speech vs Deepgram Text-to-Speech (Aura-2, Flux TTS)](https://www.anchorterminal.com/compare/azure-text-to-speech-vs-deepgram-tts.md)\n- [Azure AI Speech text-to-speech vs Rime TTS API + MCP](https://www.anchorterminal.com/compare/azure-text-to-speech-vs-rime-tts.md)\n- [Cartesia Sonic TTS API + MCP vs Deepgram Text-to-Speech (Aura-2, Flux TTS)](https://www.anchorterminal.com/compare/cartesia-tts-vs-deepgram-tts.md)\n- [Cartesia Sonic TTS API + MCP vs Rime TTS API + MCP](https://www.anchorterminal.com/compare/cartesia-tts-vs-rime-tts.md)\n- [Deepgram Text-to-Speech (Aura-2, Flux TTS) vs ElevenLabs Text to Speech API + MCP](https://www.anchorterminal.com/compare/deepgram-tts-vs-elevenlabs-tts.md)\n- [Deepgram Text-to-Speech (Aura-2, Flux TTS) vs Murf TTS API + MCP](https://www.anchorterminal.com/compare/deepgram-tts-vs-murf-tts.md)\n- [Deepgram Text-to-Speech (Aura-2, Flux TTS) vs PlayHT Text-to-Speech API](https://www.anchorterminal.com/compare/deepgram-tts-vs-playht-tts.md)\n- [Deepgram Text-to-Speech (Aura-2, Flux TTS) vs Resemble AI Text-to-Speech API](https://www.anchorterminal.com/compare/deepgram-tts-vs-resemble-ai-tts.md)\n- [Deepgram Text-to-Speech (Aura-2, Flux TTS) vs Soniox Text-to-Speech](https://www.anchorterminal.com/compare/deepgram-tts-vs-soniox-tts.md)\n- [ElevenLabs Text to Speech API + MCP vs Rime TTS API + MCP](https://www.anchorterminal.com/compare/elevenlabs-tts-vs-rime-tts.md)\n- [Murf TTS API + MCP vs Rime TTS API + MCP](https://www.anchorterminal.com/compare/murf-tts-vs-rime-tts.md)\n- [PlayHT Text-to-Speech API vs Rime TTS API + MCP](https://www.anchorterminal.com/compare/playht-tts-vs-rime-tts.md)\n- [Resemble AI Text-to-Speech API vs Rime TTS API + MCP](https://www.anchorterminal.com/compare/resemble-ai-tts-vs-rime-tts.md)\n- [Rime TTS API + MCP vs Soniox Text-to-Speech](https://www.anchorterminal.com/compare/rime-tts-vs-soniox-tts.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-04", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.3", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Deepgram Text-to-Speech (Aura-2, Flux TTS) vs Rime TTS API + MCP", "url": "" } ], "description": "Deepgram Text-to-Speech (Aura-2, Flux TTS) has a score of 73 (BB) against Rime TTS API + MCP's 56.1 (C). Both do speech tts. The largest gap is schema \u0026 documentation, 36 points. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Deepgram Text-to-Speech (Aura-2, Flux TTS) BB 73", "Rime TTS API + MCP C 56.1", "scores" ], "h1": "Deepgram Text-to-Speech (Aura-2, Flux TTS) vs Rime TTS API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-deepgram-tts-vs-rime-tts.png", "path": "/compare/deepgram-tts-vs-rime-tts", "published": "2026-10-01", "section": "tools", "title": "Deepgram Text-to-Speech (Aura-2, Flux TTS) vs Rime TTS API + MCP", "toc": null, "updated": "2026-10-04", "url": "https://www.anchorterminal.com/compare/deepgram-tts-vs-rime-tts" }, "tokens": { "markdown": 1750, "slim": 380 }, "version": 1 }