CoVoST2
Models translate speech from 21 languages into English and from English into 15 languages. Scored by BLEU.
- Made by
- Meta AI (Facebook AI)
- 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.
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.
- 40.7
Nova 2 Omni Preview
- 40.6
Gemini 2.0 Pro
- 39.3
Phi-4-multimodal
- 39.2
Gemini 2.0 Flash
- 39.0
Gemini 2.0 Flash
- 38.5
Gemma 4 12B
- 38.5
Gemini 2.5 Pro
- 38.4
Gemini 2.0 Flash-Lite
- 38.2
Gemma 4 E4B
- 37.3
LongCat-Flash-Omni
- 36.1
Gemini 2.5 Flash
- 36.1
Nemotron 3.5 Bolt E4B
- 35.4
Gemma 4 E2B
- 34.7
Qwen2.5-Omni-7B
- 1
Nova 2 Omni Preview 40.7
- 2
Gemini 2.0 Pro 40.6
- 3
Phi-4-multimodal 39.3
- 4
Gemini 2.0 Flash Dec 2024 39.2
- 5
Gemini 2.0 Flash Feb 2025 39.0
- 6
Gemma 4 12B 38.5
- 7
Gemini 2.5 Pro Jun 2025 38.5
- 8
Gemini 2.0 Flash-Lite 38.4
- 9
Gemma 4 E4B 38.2
- 10
LongCat-Flash-Omni 37.3
- 11
Gemini 2.5 Flash Jun 2025 36.1
- 12
Nemotron 3.5 Bolt E4B 36.1
- 13
Gemma 4 E2B 35.4
- 14
Qwen2.5-Omni-7B 34.7
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 40.7 | Dec 2025 | Lab model card | |
| 2 | | 40.6 | Feb 2025 | Lab model card | |
| 3 | | 39.3 | Mar 2025 | Lab model card | |
| 4 | | 39.2 | Dec 2024 | Lab model card | |
| 5 | | 39.0 | Feb 2025 | Lab model card | |
| 6 | | 38.5 | Jun 2026 | Lab model card | |
| 7 | | 38.5 | Jul 2025 | Lab model card | |
| 8 | | 38.4 | Feb 2025 | Lab model card | |
| 9 | | 38.2 | Jul 2026 | Lab model card | |
| 10 | | 37.3 | Oct 2025 | Lab model card | |
| 11 | | 36.1 | Jul 2025 | Lab model card | |
| 12 | | 36.1 | Oct 2026 | Lab model card | |
| 13 | | 35.4 | Jul 2026 | Lab model card | |
| 14 | | 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.
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.
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.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Jun 3, 2026 | 38.5 | CoVoST average, excluding Chinese | |
| Apr 2, 2026 | 35.5 | CoVoST average, excluding Chinese | |
| Apr 2, 2026 | 33.5 | CoVoST average, excluding Chinese | |
| Apr 2, 2026 | CoVoST (31B: no score; audio only on small models) | ||
| Dec 2, 2025 | 40.7 | CoVoST 2 BLEU (Spanish, French, German, Italian to English) | |
| Oct 31, 2025 | 37.3 | Mean of CoVost2 en→zh 47.23 / CoVost2 zh→en 27.32 | |
| Mar 27, 2025 | 34.7 | Mean of CoVoST2 en-de 30.2 / de-en 37.7 / en-zh 41.4 / zh-en 29.4 | |
| Feb 5, 2025 | 38.4 | CoVoST2 (21 lang), BLEU | |
| Feb 5, 2025 | 39 | CoVoST2 (21 lang), BLEU | |
| Feb 5, 2025 | 40.6 | CoVoST2 (21 lang), BLEU | |
| Dec 11, 2024 | 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.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Oct 23, 2026 | | 36.1 | CoVoST (BLEU), excluding Chinese, reasoning, 37.61 non-reasoning (Table 8) | Capabilities |
| Jul 24, 2026 | | 38.2 | CoVoST average corpusBLEU (Table 7) | Capabilities |
| Jul 24, 2026 | | 35.4 | CoVoST average corpusBLEU (Table 7) | Capabilities |
| Dec 2, 2025 | | 40.7 | CoVoST 2 BLEU, Spanish, French, German and Italian to English (Table 7) | Capabilities |
| Oct 31, 2025 | | CoVost2 en→zh 47.23, zh→en 27.32, BLEU, no overall score (Table 9) | Capabilities | |
| Jul 7, 2025 | | 38.5 | CoVoST2, 21 languages to English, BLEU (Table 5) | Capabilities |
| Jul 7, 2025 | | 36.1 | CoVoST2, 21 languages to English, BLEU (Table 5) | Capabilities |
| Apr 15, 2025 | | 39 | CoVoST2 (21 lang), BLEU (Table, p.3, column Gemini 2.0 Flash (GA)) | Capabilities |
| Apr 10, 2025 | | 38.4 | CoVoST2 (21 lang), BLEU (Table, p.3) | Capabilities |
| Mar 26, 2025 | | 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 | | 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 |
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