Artificial Analysis Speech Arena
Voters listen to two speech clips made from the same text and pick the more natural one. Votes become Elo ratings.
Artificial Analysis runs it. The almanac lists that it exists but imports no Artificial Analysis data, because its terms bar reuse in ranking products.
- Made by
- Artificial Analysis
- Kind
- Audio understanding and voice
- Level
- Everyday
- Scored
- Ranked by votes
- Answers
- Open-ended
- Tasks
- All public
- Last in a launch post
- April 2026, dropped before it saturated
- Last model added
- April 2026
Only Gemini 3.1 Flash TTS has a rating here, from its lab’s own post
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs. A rating ranks a model only against others rated in the same arena at the same time, so these don’t show who leads. Artificial Analysis doesn’t allow reuse of its data, so we link to its board instead. See the live leaderboard on artificialanalysis.ai
Bars start at 1,150.45.
- 1
Gemini 3.1 Flash TTS 1,211
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 1,211 | Apr 2026 | Lab model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs headline it less often now, last in April 2026
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Apr 16, 2026 | 1211 | Artificial Analysis TTS leaderboard Elo |
More in Audio and video
- Video-MMMU In use 300 expert-level lecture videos with questions testing perception, comprehension and adaptation of knowledge. Accuracy.
Qwen 3.8 Max 88.7%
- LVBench In use Hours-long video understanding with multiple-choice questions on reasoning, grounding and summarization.
Gemini 4 Argon 91.7%
- MMVU In use 3,000 expert-annotated questions on videos across 27 disciplines. Multiple-choice and open-ended accuracy.
Qwen 3.8 Max 82.4%
- MLVU In use Multi-task long video understanding (minutes to hours) with multiple-choice and generation tasks. Accuracy.
Qwen 3.8 Max 90.8%
- FLEURS In use Models transcribe read speech in 102 languages built from FLoRes-101 sentences. Model cards usually report word error rate, so lower scores are better.
Phi-4-multimodal 4.00%
- VoiceBench In use Spoken instructions with speaker, environment and content variation. Voice assistant responses scored by GPT judge or rules.
Qwen3.5-Omni-Plus 93.1%