light estimateLast updated 2026-08-20

Cartesia vs Speechify

Cartesia Sonic 3 / Sonic 3.5 vs SpeechifyAI Simba 3.2 for text-to-speech. ELO: 1203 vs 1240 — edge Speechify TTFA: 271 ms vs 398 ms — edge Cartesia Langs: 42 vs 30 — edge Cartesia Computed from public benchmarks with dated sources; updated 2026-08-20.

Cartesia Sonic 3 / Sonic 3.5 compared with SpeechifyAI Simba 3.2 per decision axis
AxisCartesia Sonic 3 / Sonic 3.5SpeechifyAI Simba 3.2Edge
Price$39 per 1M chars*$10 per 1M chars*
ELO12031240Speechify
TTFA271 ms398 msCartesia
Langs4230Cartesia
streaming
cloning

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

CartesiaLowest independently-measured time-to-first-audio in this table (271ms P50 for Sonic 3.5 in the Coval benchmark), and Cartesia's newer Sonic 3.6 — beta, API-only, released 2026-08-18 — currently leads the entire Artificial Analysis Speech Arena at 1285 ELO. Price is credit-/plan-based and the pricing page now states allowances in minutes of audio rather than characters, publishing no per-character rate at all; the ~$39/1M figure is derived from the $49/month Startup tier, so vergelijkbaar=false. Vendor latency claims (~90ms, 'sub-90ms' for 3.6) are roughly three times better than the measured 271ms P50. Sonic 3.5 slipped from about 4th to 7th on the Arena at an unchanged 1203 ELO; Sonic 3.6's much higher score is deliberately not used for this row, because 3.6 is still beta while the docs list 3.5 as stable and priced. The 42-language count carries over from the previous snapshot and was not re-verified in this refresh.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'.