Benchmark Almanac

Cekura Bench

Not in model cards

Models complete separately scored speech recognition, speech generation, voice-agent, real-call, turn-taking and voice-quality benchmarks. Cekura publishes no combined score.

Cekura runs the benchmarks while selling voice-agent testing services. Cekura publishes results under CC BY 4.0 but withholds licensed recordings and some judge prompts. Cekura dates the site launch to July 8, 2026, before the November scan.

Made by
Cekura
Released
July 2026
Kind
Audio understanding and voice
Level
Everyday
Scored
Graded by a model
Answers
Agent task
Tasks
Public, plus a private test set

No scores here yet

We have no scores for Cekura Bench 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%