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light estimateLast updated 2026-08-20

ElevenLabs vs Speechify

ElevenLabs Multilingual v2 / Eleven v3 vs SpeechifyAI Simba 3.2 for text-to-speech. ELO: 1179 vs 1240 — edge Speechify TTFA: 653 ms vs 398 ms — edge Speechify Langs: 29 vs 30 — edge Speechify Computed from public benchmarks with dated sources; updated 2026-08-20.

Head to head
ElevenLabs Multilingual v2 / Eleven v3 compared with SpeechifyAI Simba 3.2 per decision axis
AxisElevenLabs Multilingual v2 / Eleven v3SpeechifyAI Simba 3.2Edge
Price$100 per 1M chars$10 per 1M chars*—
ELO11791240Speechify
TTFA653 ms398 msSpeechify
Langs2930Speechify
streaming✓✓—
cloning✓✓—

* token-/credit-priced — the headline understates real per-unit cost, so no price edge is awarded.

Strengths & caveats
ElevenLabsLargest production adoption and most mature voice-library/cloning ecosystem, with both instant and professional cloning; Eleven v3 is the strongest ElevenLabs model on the Artificial Analysis Speech Arena at 1179 ELO (rank 12 of 99). Most expensive per-character of the comparable group ($100/1M chars at $0.10/1K, charged for both Eleven v3 and Multilingual v2); the $0.05/1K Flash/Turbo and v3 Conversational tiers are cheaper but different models. Independent Coval TTFA is slow for the flagship tiers: 653ms P50 for Eleven v3 and 1262ms for Multilingual v2, against 212ms for the cheaper Flash v2.5 — the 264ms previously listed here was a Turbo v2.5 figure, not a flagship one. Language counts differ per model on the pricing page (29 for Multilingual v2, 32 for Flash/Turbo, 70+ for Eleven v3); the 29 shown is the Multilingual v2 figure. Multilingual v2 ranks only 33rd on the Arena (1104 ELO).SpeechifyHighest-scoring row in this table on the Artificial Analysis Speech Arena (1240 ELO, rank 3 of 99), with low measured latency (398 ms P50 in the Coval capture, 3.4% WER), flat per-character pricing, and streaming, SSML and voice cloning from the entry tier; 50K characters/month free. Plan-bundled pricing: the $10/1M rate is the Starter overage (Pro $8/1M, Scale $6/1M), so effective cost depends on tier and is marked not directly comparable; the 30+ language count is a platform-wide claim rather than a Simba-specific spec, and the production ecosystem is younger than ElevenLabs'.
Sources