naturalness benchmark
Artificial Analysis Text To Speech is an official Elo leaderboard published by Artificial Analysis.
Updated Sep 8, 2026
Higher elo ranks better on this benchmark.
Rank | Model | Elo | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelCA | Elo1,282.00 elo (1,265.00 elo - 1,299.00 elo) | Percentile100.00% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank02 | ModelIN | Elo1,252.00 elo (1,234.00 elo - 1,270.00 elo) | Percentile98.95% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank03 | ModelAL | Elo1,241.00 elo (1,227.00 elo - 1,255.00 elo) | Percentile97.89% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank04 | ModelSPSimba 3.2SpeechifyAI | Elo1,240.00 elo (1,226.00 elo - 1,254.00 elo) | Percentile96.84% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank05 | ModelVLLuna TTSVUI Labs | Elo1,228.00 elo (1,214.00 elo - 1,242.00 elo) | Percentile95.79% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank06 | ModelIN | Elo1,222.00 elo (1,207.00 elo - 1,237.00 elo) | Percentile94.74% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank07 | ModelBRBreeze TTS 2BreezeBlue | Elo1,215.00 elo (1,198.00 elo - 1,232.00 elo) | Percentile93.68% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank08 | ModelEL | Elo1,210.00 elo (1,195.00 elo - 1,225.00 elo) | Percentile92.63% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank09 | ModelGO | Elo1,208.00 elo (1,196.00 elo - 1,220.00 elo) | Percentile91.58% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank10 | ModelST | Elo1,205.00 elo (1,188.00 elo - 1,222.00 elo) | Percentile90.53% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank11 | ModelCA | Elo1,193.00 elo (1,181.00 elo - 1,205.00 elo) | Percentile89.47% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank12 | ModelSMLightning V3.1 Pro (Jul 2026)Smallest.ai | Elo1,190.00 elo (1,176.00 elo - 1,204.00 elo) | Percentile88.42% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank13 | ModelSOSoniox TTS Real-Time v2Soniox | Elo1,179.00 elo (1,168.00 elo - 1,190.00 elo) | Percentile87.37% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank14 | ModelEL | Elo1,175.00 elo (1,164.00 elo - 1,186.00 elo) | Percentile86.32% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank15 | ModelMI | Elo1,171.00 elo (1,160.00 elo - 1,182.00 elo) | Percentile85.26% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank16 | ModelMAFalcon 2Murf AI | Elo1,158.00 elo (1,143.00 elo - 1,173.00 elo) | Percentile84.21% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank17 | ModelMI | Elo1,152.00 elo (1,141.00 elo - 1,163.00 elo) | Percentile83.16% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank18 | ModelGRGradium TTS (Aug 2026)Gradium | Elo1,149.00 elo (1,134.00 elo - 1,164.00 elo) | Percentile82.11% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank19 | ModelASAsync Flash v1.5async | Elo1,141.00 elo (1,128.00 elo - 1,154.00 elo) | Percentile81.05% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank20 | ModelFAFish Audio S2.1 ProFish Audio | Elo1,141.00 elo (1,128.00 elo - 1,154.00 elo) | Percentile80.00% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank21 | ModelST | Elo1,138.00 elo (1,126.00 elo - 1,150.00 elo) | Percentile78.95% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank22 | ModelMI | Elo1,134.00 elo (1,123.00 elo - 1,145.00 elo) | Percentile77.89% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank23 | ModelSMLightning V3.1 Pro TTS (Jun 2026)Smallest.ai | Elo1,133.00 elo (1,120.00 elo - 1,146.00 elo) | Percentile76.84% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank24 | ModelMI | Elo1,131.00 elo (1,119.00 elo - 1,143.00 elo) | Percentile75.79% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank25 | ModelFAFish Audio S2 ProFish Audio | Elo1,128.00 elo (1,116.00 elo - 1,140.00 elo) | Percentile74.74% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank26 | ModelMI | Elo1,127.00 elo (1,116.00 elo - 1,138.00 elo) | Percentile73.68% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank27 | ModelXA | Elo1,123.00 elo (1,107.00 elo - 1,139.00 elo) | Percentile72.63% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank28 | ModelSPSimba 3.0SpeechifyAI | Elo1,122.00 elo (1,110.00 elo - 1,134.00 elo) | Percentile71.58% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank29 | ModelASAsync Pro v1.0async | Elo1,121.00 elo (1,108.00 elo - 1,134.00 elo) | Percentile70.53% | Participants96 | EvidenceB | EvaluatedN/A |
| Rank30 | ModelMI | Elo1,112.00 elo (1,101.00 elo - 1,123.00 elo) | Percentile69.47% | Participants96 | EvidenceB | EvaluatedN/A |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What Artificial Analysis Text To Speech measures and how its scores work.
Artificial Analysis Text To Speech is a benchmark leaderboard for text-to-speech systems.
It measures naturalness using the Elo metric, reported in elo units.
Scores are shown in elo. This benchmark is verified and has an evidence level of B.
Artificial Analysis. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about Artificial Analysis Text To Speech.
Sonic 3.6 is currently ranked first with 1,282.00 elo.
The current leaders are Sonic 3.6 (1,282.00 elo), Realtime TTS-2 (1,252.00 elo), and Qwen-Audio-3.0-TTS-Plus (1,241.00 elo).
No matched official input price is currently available.
No matched runtime record is currently available.
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures naturalness using the Elo metric, reported in elo units.
Yes. Higher values rank better for this benchmark.
96 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis artificial analysis text to speech AI model leaderboard uses descending elo in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Sonic 3.6 currently leads Artificial Analysis Text To Speech with 1,282.00 elo. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.