Benchmark Almanac

CoVoST2

Nova 2 Omni Preview 40.7 leads since December 2025
Fading

Models translate speech from 21 languages into English and from English into 15 languages. Scored by BLEU.

Released
July 2020
Kind
Speech recognition and translation
Level
University
Scored
Checked automatically
Answers
Open-ended
Tasks
All public
Strongest model tested
Gemini 2.5 Pro Jun 2025 #96 on the capability index
Last in a launch post
June 2026, dropped before it saturated
Last model added
October 2026

In the authors’ words

Speech translation has recently become an increasingly popular topic of research, partly due to the development of benchmark datasets. Nevertheless, current datasets cover a limited number of languages. With the aim to foster research in massive multilingual speech translation and speech translation for low resource language pairs, we release CoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. This represents the largest open dataset available to date from total volume and language coverage perspective. Data sanity checks provide evidence about the quality of the data, which is released under CC0 license. We also provide extensive speech recognition, bilingual and multilingual machine translation and speech translation baselines with open-source implementation.

Abstract of CoVoST 2 and Massively Multilingual Speech-to-Text Translation (arXiv:2007.10310, CC0)
14
Models scored in lab cards
11
Launch posts list it, from 4 labs
11
System cards report it, from 6 labs

Nova 2 Omni Preview leads with 40.7

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 Nova 2 Omni Preview 40.7
  2. 2 Gemini 2.0 Pro 40.6
  3. 3 Phi-4-multimodal 39.3
  4. 4 Gemini 2.0 Flash Dec 2024 39.2
  5. 5 Gemini 2.0 Flash Feb 2025 39.0
  6. 6 Gemma 4 12B 38.5
  7. 7 Gemini 2.5 Pro Jun 2025 38.5
  8. 8 Gemini 2.0 Flash-Lite 38.4
  9. 9 Gemma 4 E4B 38.2
  10. 10 LongCat-Flash-Omni 37.3
  11. 11 Gemini 2.5 Flash Jun 2025 36.1
  12. 12 Nemotron 3.5 Bolt E4B 36.1
  13. 13 Gemma 4 E2B 35.4
  14. 14 Qwen2.5-Omni-7B 34.7

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 Nova 2 Omni Preview 40.7 Dec 2025 Lab model card
2 Gemini 2.0 Pro 40.6 Feb 2025 Lab model card
3 Phi-4-multimodal 39.3 Mar 2025 Lab model card
4 Gemini 2.0 Flash Dec 2024 39.2 Dec 2024 Lab model card
5 Gemini 2.0 Flash Feb 2025 39.0 Feb 2025 Lab model card
6 Gemma 4 12B 38.5 Jun 2026 Lab model card
7 Gemini 2.5 Pro Jun 2025 38.5 Jul 2025 Lab model card
8 Gemini 2.0 Flash-Lite 38.4 Feb 2025 Lab model card
9 Gemma 4 E4B 38.2 Jul 2026 Lab model card
10 LongCat-Flash-Omni 37.3 Oct 2025 Lab model card
11 Gemini 2.5 Flash Jun 2025 36.1 Jul 2025 Lab model card
12 Nemotron 3.5 Bolt E4B 36.1 Oct 2026 Lab model card
13 Gemma 4 E2B 35.4 Jul 2026 Lab model card
14 Qwen2.5-Omni-7B 34.7 Mar 2025 Lab model card

3 models have held number one in labs’ own numbers since 2023

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

Google DeepMind Amazon
Lab claims 3 leaders

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
32.0 34.0 36.0 38.0 40.0 42.0 2025 2026 2027 32.0 34.0 36.0 38.0 40.0 42.0 2025 2026 2027

Source: Labs’ model cards

Labs headline it less often now, last in June 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.

Google DeepMind
Qwen
Meituan
Amazon
DateLaunch postScoreAs the post writes it
Jun 3, 2026 Gemma 4 12B 38.5 CoVoST average, excluding Chinese
Apr 2, 2026 Gemma 4 E4B 35.5 CoVoST average, excluding Chinese
Apr 2, 2026 Gemma 4 E2B 33.5 CoVoST average, excluding Chinese
Apr 2, 2026 Gemma 4 31B IT CoVoST (31B: no score; audio only on small models)
Dec 2, 2025 Nova 2 Omni Preview 40.7 CoVoST 2 BLEU (Spanish, French, German, Italian to English)
Oct 31, 2025 LongCat-Flash-Omni 37.3 Mean of CoVost2 en→zh 47.23 / CoVost2 zh→en 27.32
Mar 27, 2025 Qwen2.5-Omni-7B 34.7 Mean of CoVoST2 en-de 30.2 / de-en 37.7 / en-zh 41.4 / zh-en 29.4
Feb 5, 2025 Gemini 2.0 Flash-Lite 38.4 CoVoST2 (21 lang), BLEU
Feb 5, 2025 Gemini 2.0 Flash 39 CoVoST2 (21 lang), BLEU
Feb 5, 2025 Gemini 2.0 Pro 40.6 CoVoST2 (21 lang), BLEU
Dec 11, 2024 Gemini 2.0 Flash 39.2 CoVoST2 (21 lang)

11 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
Oct 23, 2026 Nemotron 3.5 Bolt E4B technical report 36.1 CoVoST (BLEU), excluding Chinese, reasoning, 37.61 non-reasoning (Table 8) Capabilities
Jul 24, 2026 Gemma 4 E4B technical report 38.2 CoVoST average corpusBLEU (Table 7) Capabilities
Jul 24, 2026 Gemma 4 E2B technical report 35.4 CoVoST average corpusBLEU (Table 7) Capabilities
Dec 2, 2025 Nova 2 Omni Preview technical report 40.7 CoVoST 2 BLEU, Spanish, French, German and Italian to English (Table 7) Capabilities
Oct 31, 2025 LongCat-Flash-Omni technical report CoVost2 en→zh 47.23, zh→en 27.32, BLEU, no overall score (Table 9) Capabilities
Jul 7, 2025 Gemini 2.5 Pro technical report 38.5 CoVoST2, 21 languages to English, BLEU (Table 5) Capabilities
Jul 7, 2025 Gemini 2.5 Flash technical report 36.1 CoVoST2, 21 languages to English, BLEU (Table 5) Capabilities
Apr 15, 2025 Gemini 2.0 Flash model card 39 CoVoST2 (21 lang), BLEU (Table, p.3, column Gemini 2.0 Flash (GA)) Capabilities
Apr 10, 2025 Gemini 2.0 Flash-Lite model card 38.4 CoVoST2 (21 lang), BLEU (Table, p.3) Capabilities
Mar 26, 2025 Qwen2.5-Omni-7B technical report CoVoST2 BLEU en-de 30.2, de-en 37.7, en-zh 41.4, zh-en 29.4, no overall score (Table 2) Capabilities
Mar 3, 2025 Phi-4-multimodal technical report 39.3 CoVoST2 X-EN BLEU, 0-shot, 40.76 with CoT. EN-X 37.82, 38.73 with CoT (Tables 3 and 5) Capabilities

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%