Benchmark Almanac

LibriSpeech

Voxtral Small 1.53% Fading

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.

Made by Panayotov et al. (Johns Hopkins University) Released Apr 2015 Speech recognition and translation All tasks public Last in a launch post Apr 2026 , dropped before it saturated Last model added Apr 2026
Level
Everyday Most adults, without training
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Short answer A number, word or short string matched to a key.
2
Models scored in lab cards
7
Launch posts list it, from 5 labs
8
System cards report it, from 6 labs

Voxtral Small leads with 1.53%

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.

  1. 1 Voxtral Small 1.53%
  2. 2 MiMo-Audio-7B-Instruct 3.76%
#ModelScoreSettingDateSource
1 Voxtral Small 1.53% Jul 2025 Model card
2 MiMo-Audio-7B-Instruct 3.76% Sep 2025 Model card

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% Voxtral Small 0% 20% 40% 60% 80% 100% Voxtral Small

Labs headline it less often now, last in Apr 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
28 Apr 2026 Seed2.0 Lite (0428) 1.62 Mean of Librispeech test-clean 1.07 / test-other 2.17 (WER, lower is better)
30 Mar 2026 Qwen3.5-Omni-Plus 1.67 Mean of Librispeech test-clean 1.11 / test-other 2.23
26 Mar 2026 Cohere Transcribe 1.25 LS clean (LibriSpeech test-clean) WER
31 Oct 2025 LongCat-Flash-Omni 2.79 Mean of LibriSpeech test-clean 1.57 / test-other 4.01
22 Sep 2025 Qwen3-Omni-30B-A3B 1.85 Mean of Librispeech test-clean 1.22 / test-other 2.48
25 Apr 2025 Kimi-Audio-7B-Instruct 1.85 Mean of LibriSpeech test-clean 1.28 / test-other 2.42
27 Mar 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
17 Apr 2026 Qwen3.5-Omni-Plus technical report Librispeech ASR WER test-clean 1.11, test-other 2.23, no overall (Table 5) Capabilities
4 Feb 2026 ERNIE 5.0 technical report LibriSpeech clean 1.16, other 2.61, WER, lower is better, no overall score (Table 7) Capabilities
31 Oct 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
22 Sep 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
18 Sep 2025 MiMo-Audio-7B-Instruct technical report 3.76 Librispeech-test-clean WER, lower is better (Table 9) Capabilities
17 Jul 2025 Voxtral Small technical report 1.53 LibriSpeech Test Clean WER, lower is better, Test Other 3.14 (Table 3) Capabilities
25 Apr 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
26 Mar 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 168 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%
  • 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%
  • TVBench In use Models answer multiple-choice questions on 10 temporal video tasks, such as action counting and ordering, that static frames cannot solve. Scored by accuracy. Qwen 3.8 Max 81.9%