Eleven v3 vs Whisper large-v3-turbo (2026): Which AI Model Is Better?
Both are popular speech & voice models. Here is how Eleven v3 and Whisper large-v3-turbo stack up on price, strengths and weaknesses, and which one we would pick.
Eleven v3
ElevenLabs' expressive text-to-speech model with audio tags and 70+ languages
8.8 /10
Pricing: Free plan, paid from $6/mo
Pros
- Very expressive delivery with audio tags
- 70+ languages on v3
- Voice cloning from $6/month
- Mature API and editor
Cons
- Free plan has no commercial licence
- Credits burn quickly on long projects
- 5,000-character cap per v3 request
Whisper large-v3-turbo
OpenAI's open-source speech recognition for transcripts and subtitles in 99 languages
8.2 /10
Pricing: Open source
Pros
- MIT licence, free for commercial use
- 99 languages
- Runs offline for privacy
- Huge ecosystem of ports and apps
Cons
- Can make up text during silence
- No built-in speaker separation
- Open line not updated since turbo
Eleven v3 vs Whisper large-v3-turbo at a glance
| Eleven v3 | Whisper large-v3-turbo | |
|---|---|---|
| Editor score | 8.8 / 10 | 8.2 / 10 |
| Pricing model | Freemium | Open source |
| Starting price | $6/mo | Free |
| Reader upvotes | 0 | 0 |
| Best for | text-to-speech, voice-cloning, multilingual | speech-to-text, open-source, subtitles |
| Makes | Voiceovers & narration, Audiobooks, Podcasts, Dubbing & translation | Captions & transcripts, Podcasts, Dubbing & translation |
| Maker | ElevenLabs | OpenAI |
| Latest release | 2026-02 | 2024-10 |
| Apps offering it | 11 | 2 |
Our pick
Eleven v3 edges it with a score of 8.8 versus 8.2. Eleven v3 is the better fit if you value: very expressive delivery with audio tags, 70+ languages on v3. Choose Whisper large-v3-turbo instead if you need: mit licence, free for commercial use, 99 languages.
Other speech & voice models to consider
Full ranking →Gemini 3.8 Flash TTS 🧠 ModelPaid
Google's prompt-directed TTS with 2,000+ voices, 100+ languages and consented cloning
Chatterbox Multilingual V3 🧠 ModelOpen source
Resemble AI's MIT-licensed TTS with zero-shot voice cloning and built-in watermarking
Sonic-3.6 🧠 ModelFreemium
Cartesia's low-latency TTS for voice agents and narration, 44 languages
Kokoro-82M v1.0 🧠 ModelOpen source
Tiny Apache-licensed TTS model with 54 voices in 8 languages that runs anywhere