Benchmark Almanac

MiniMax TTS Multilingual Test Set

Only in system cards

Text-to-speech models clone two Common Voice speakers per language and read 100 test sentences in each of 24 languages. Scored by word error rate and speaker similarity.

Released with MiniMax-Speech. MiniMax plans to add languages, so the set may grow. Lower error rate is better.

Made by
MiniMax
Released
May 2025
Kind
Speech recognition and translation
Level
Everyday
Scored
Checked automatically
Answers
Open-ended
Tasks
All public
Last in a system card
April 2026
Last model added
April 2026
2
System cards report it, from 1 lab

No scores here yet

No lab, leaderboard or Epoch AI run has reported a score for MiniMax TTS Multilingual Test Set yet.

Labs report it only in system cards

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

2 system cards report it, from 1 lab

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
Apr 17, 2026 Qwen3.5-Omni-Plus technical report TTS multilingual test set, WER per language, no overall (Table 9): zh 0.695, en 0.631, de 0.447, it 0.503, pt 1.221, es 0.862, ja 3.479, ko 1.458, fr 2.430, ru 3.182, th 2.170, id 0.823, ar 2.602, vi 1.143, tr 0.938, fi 2.784, pl 1.427, hi 6.444, nl 1.238, cs 2.929. Speaker similarity per language in Table 9, custom-voice WER in Table 12 Capabilities
Sep 22, 2025 Qwen3-Omni-30B-A3B technical report MiniMax Multilingual Test Set, 10 languages, content consistency WER from 0.716 (Chinese) to 3.986 (Russian) and speaker similarity 0.689 to 0.778, no overall score (Table 14) Capabilities

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%