Benchmark Almanac

LibriSpeech

Voxtral Small 1.53% leads since July 2025
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Models transcribe English audiobook speech. Scored by word error rate on the test-clean and test-other splits.

About 1,000 hours of read speech from LibriVox. Released at ICASSP 2015.

Released
April 2015
Kind
Speech recognition and translation
Level
Everyday
Scored
Checked automatically
Answers
Short answer
Tasks
All public
Last in a launch post
April 2026, dropped before it saturated
Last model added
April 2026
3
Models scored in lab cards
8
Launch posts list it, from 5 labs
8
System cards report it, from 6 labs

Voxtral Small leads with 1.53% among models released by January 2026

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

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

  1. 1 Voxtral Small 1.53%
  2. 2 Qwen3-ASR-1.7B 1.63%
  3. 3 MiMo-Audio-7B-Instruct 3.76%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 Voxtral Small 1.53% Jul 2025 Lab model card
2 Qwen3-ASR-1.7B 1.63% Jan 2026 Lab model card
3 MiMo-Audio-7B-Instruct 3.76% Sep 2025 Lab model card

Number one over time

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

Mistral AI
Lab claims Not tested since Jan 2026

Source: Labs’ model cards

Scores over time

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

Reported by the lab in its model card
0% 20% 40% 60% 80% 100% 2026 Voxtral Small 0% 20% 40% 60% 80% 100% 2026 Voxtral Small

Source: Labs’ model cards

Labs headline it less often now, last in April 2026

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

Qwen
Moonshot AI
Meituan
Cohere
ByteDance Seed
DateLaunch postScoreAs the post writes it
Apr 28, 2026 Seed2.0 Lite (0428) 1.62 Mean of Librispeech test-clean 1.07 / test-other 2.17 (WER, lower is better)
Mar 30, 2026 Qwen3.5-Omni-Plus 1.67 Mean of Librispeech test-clean 1.11 / test-other 2.23
Mar 26, 2026 Cohere Transcribe 1.25 LS clean (LibriSpeech test-clean) WER
Jan 29, 2026 Qwen3-ASR-1.7B 1.63 Librispeech clean WER, Qwen3-ASR-1.7B
Oct 31, 2025 LongCat-Flash-Omni 2.79 Mean of LibriSpeech test-clean 1.57 / test-other 4.01
Sep 22, 2025 Qwen3-Omni-30B-A3B 1.85 Mean of Librispeech test-clean 1.22 / test-other 2.48
Apr 25, 2025 Kimi-Audio-7B-Instruct 1.85 Mean of LibriSpeech test-clean 1.28 / test-other 2.42
Mar 27, 2025 Qwen2.5-Omni-7B 2.6 Mean of Librispeech test-clean 1.8 / test-other 3.4 (dev-clean 1.6, dev-other 3.5 not used)

8 system cards report it, from 6 labs

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 Librispeech ASR WER test-clean 1.11, test-other 2.23, no overall (Table 5) Capabilities
Feb 4, 2026 ERNIE 5.0 technical report LibriSpeech clean 1.16, other 2.61, WER, lower is better, no overall score (Table 7) Capabilities
Oct 31, 2025 LongCat-Flash-Omni technical report LibriSpeech test-clean 1.57, test-other 4.01, WER, lower is better, no overall score (Table 9) Capabilities
Sep 22, 2025 Qwen3-Omni-30B-A3B technical report Librispeech clean 1.22, other 2.48, WER, lower is better, Instruct, no overall score (Table 6) Capabilities
Sep 18, 2025 MiMo-Audio-7B-Instruct technical report 3.76 Librispeech-test-clean WER, lower is better (Table 9) Capabilities
Jul 17, 2025 Voxtral Small technical report 1.53 LibriSpeech Test Clean WER, lower is better, Test Other 3.14 (Table 3) Capabilities
Apr 25, 2025 Kimi-Audio-7B-Instruct technical report LibriSpeech test-clean 1.28, test-other 2.42, WER, lower is better, no overall score (Table 4) Capabilities
Mar 26, 2025 Qwen2.5-Omni-7B technical report Librispeech dev-clean 1.6, dev-other 3.5, test-clean 1.8, test-other 3.4, WER, lower is better, no overall score (Table 2) Capabilities

More in Audio and video

All 232 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%