Benchmark Almanac

Kimi-ASR Internal Testset Subset 1

Not in model cards

Models transcribe speech from Moonshot internal subset 1. The score is the published word error rate.

One track of Kimi-ASR Internal Testset. The Kimi-ASR Internal Testset record keeps lab scores that combine tracks.

Made by
Moonshot AI
Released
April 2025
Kind
Speech recognition and translation
Level
Everyday
Scored
Checked automatically
Answers
Short answer
Tasks
Kept private
Last model added
April 2025
Scores refreshed
November 12th, 2026
5
Entries on its own leaderboard, 2 models we track

Kimi-Audio-7B-Instruct leads with 1.42%

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.

  1. 1 Kimi-Audio-7B-Instruct 1.42%
  2. 2 Qwen2.5-Omni 1.53%
  3. 3 Qwen2-Audio-base 2.31%
  4. 4 Step-Audio-Chat 2.82%
  5. 5 Baichuan-base 3.41%

Source: Official Kimi-ASR Internal Testset Subset 1 leaderboard

#EntryScoreSettingDateSource
1 Kimi-Audio-7B-Instruct 1.42% Apr 2025 Official leaderboard
2 Qwen2.5-Omni 1.53% Official leaderboard
3 Qwen2-Audio-base 2.31% Official leaderboard
4 Step-Audio-Chat 2.82% Feb 2025 Official leaderboard
5 Baichuan-base 3.41% Official 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 Best so far
0% 20% 40% 60% 80% 100% 2025 Kimi-Audio-7B-Instruct Step-Audio-Chat 0% 20% 40% 60% 80% 100% 2025 Kimi-Audio-7B-Instruct

Source: Official Kimi-ASR Internal Testset Subset 1 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%