OpenAudioBench
LongCat-Flash-Omni 80.1% Models answer spoken questions in five sets: Reasoning QA, Llama Questions, Web Questions, TriviaQA and AlpacaEval. Knowledge sets use accuracy and the open sets use a model score.
Released with Baichuan-Omni-1.5. Labs report the five subsets separately.
- Made by
- Baichuan
- Released
- January 2025
- Kind
- Audio understanding and voice
- Level
- Everyday
- Scored
- Graded by a model
- Answers
- Open-ended
- Tasks
- All public
- Last in a launch post
- October 2025, dropped before it saturated
- Last model added
- October 2025
LongCat-Flash-Omni leads with 80.1%
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 LongCat-Flash-Omni 80.1%
- 2 Kimi-Audio-7B-Instruct 69.1%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | LongCat-Flash-Omni | 80.1% | Oct 2025 | Lab model card | |
| 2 | Kimi-Audio-7B-Instruct | 69.1% | Apr 2025 | Lab model card |
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
No launch post has listed it since October 2025
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 |
|---|---|---|---|
| Oct 31, 2025 | LongCat-Flash-Omni | 80.1 | Mean of OpenAudioBench LlamaQuestions 83.33 / ReasoningQA 79.71 / TriviaQA 86.20 / Webquestions 76.00 / AlpacaEval 75.43 |
| Apr 25, 2025 | Kimi-Audio-7B-Instruct | 69.1 | Mean of OpenAudioBench AlpacaEval 75.73 / Llama Questions 79.33 / Reasoning QA 58.02 / TriviaQA 62.10 / Web Questions 70.20 |
2 system cards report it, from 2 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 31, 2025 | LongCat-Flash-Omni technical report | OpenAudioBench LlamaQuestions 83.33, ReasoningQA 79.71, TriviaQA 86.20, Webquestions 76.00, AlpacaEval 75.43, no overall score (Table 11) | Capabilities | |
| Apr 25, 2025 | Kimi-Audio-7B-Instruct technical report | OpenAudioBench AlpacaEval 75.73, Llama Questions 79.33, Reasoning QA 58.02, TriviaQA 62.10, Web Questions 70.20, no overall score (Table 6) | Capabilities |
More in Audio and video
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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%