Benchmark Almanac

Voice Arena Bahasa

Gemini 3.8 Flash TTS 1,138 leads since September 2026
Not in model cards

Models generate speech in Bahasa. Listeners compare anonymous clips, and preference votes determine independent language Elo ratings.

Each language has an independent leaderboard. Topic filters stay within its vote pool.

Made by
Voice Arena
Kind
Audio understanding and voice
Level
Everyday
Scored
Ranked by votes
Answers
Open-ended
Tasks
All public
Last model added
September 2026
Scores refreshed
November 12th, 2026
6
Entries on its own leaderboard, 3 models we track

Gemini 3.8 Flash TTS leads with 1,138 among models released by September 2026

Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.

The newest model with a score here came out in September 2026, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

Bars start at 700.

  1. 1 Gemini 3.8 Flash TTS 1,138
  2. 2 Gemini 3.8 Flash-Lite TTS 1,117
  3. 3 ElevenLabs Eleven v4 1,104
  4. 4 ElevenLabs Eleven v4 Turbo 1,104
  5. 5 GPT-4o Mini TTS 814
  6. 6 Fish Audio Drama 3 723

Source: Official Voice Arena Bahasa leaderboard

#EntryScoreSettingDateSource
1 Gemini 3.8 Flash TTS 1,138 Sep 2026 Official leaderboard
2 Gemini 3.8 Flash-Lite TTS 1,117 Sep 2026 Official leaderboard
3 ElevenLabs Eleven v4 1,104 Official leaderboard
4 ElevenLabs Eleven v4 Turbo 1,104 Official leaderboard
5 GPT-4o Mini TTS 814 Mar 2025 Official leaderboard
6 Fish Audio Drama 3 723 Official leaderboard

2 models have held number one on the official leaderboard since 2023

Lab claims count from the day the card came out, independent runs from the model’s release.

OpenAI Google DeepMind
Own leaderboard Not tested since Sep 2026

Source: Official Voice Arena Bahasa leaderboard

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

On the benchmark’s own leaderboard
800 900 1,000 1,100 1,200 2025 2026 800 900 1,000 1,100 1,200 2025 2026

Source: Official Voice Arena Bahasa leaderboard

No lab model card reports it yet

We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.

More in Audio and video

All 233 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%