Benchmark Almanac

Cekura Text to Speech

Not in model cards

Round-trip word error rate averaged across the two transcribers, as displayed by Cekura.

Separate task board. No combined Cekura score exists. Costs use their explicitly named units.

Made by
Cekura
Released
July 2026
Kind
Audio understanding and voice
Level
Everyday
Scored
Checked automatically
Answers
Open-ended
Tasks
Public, plus a private test set

No scores here yet

We have no scores for Cekura Text to Speech yet.

See the live leaderboard on benchmarks.cekura.ai

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%