OpenAudioBench
LongCat-Flash-Omni 80.1% Dropped 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.
- Level
- Everyday Most adults, without training
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Open-ended Free-form text, documents, designs or media judged as a whole.
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%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | LongCat-Flash-Omni | 80.1% | Oct 2025 | Model card | |
| 2 | Kimi-Audio-7B-Instruct | 69.1% | Apr 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.
No launch post has listed it since Oct 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 |
|---|---|---|---|
| 31 Oct 2025 | LongCat-Flash-Omni | 80.1 | Mean of OpenAudioBench LlamaQuestions 83.33 / ReasoningQA 79.71 / TriviaQA 86.20 / Webquestions 76.00 / AlpacaEval 75.43 |
| 25 Apr 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 |
|---|---|---|---|---|
| 31 Oct 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 | |
| 25 Apr 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
- 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%