Big Bench Audio
Models answer 1,000 spoken questions from four Big Bench Hard tasks: formal fallacies, navigate, object counting and web of lies. Built to test reasoning over audio input.
Audio was generated with 23 synthetic voices. Used for speech-to-speech and audio-to-text models. MIT license.
- Made by
- Artificial Analysis
- Released
- December 2024
- Kind
- Audio understanding and voice
- Level
- School
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- All public
- Last in a launch post
- October 2026
- Last model added
- October 2026
Grok Voice 3.0 leads with 98.5%
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 Grok Voice 3.0 98.5%
- 2 Grok Voice 2.0 97.2%
- 3 GPT-Realtime-2 96.6%
- 4 MiMo-V2-Omni 94%
- 5 gpt-realtime 82.8%
- 6
TML-Interaction-Small 75.7% - 7 MiMo-Audio-7B-Instruct 72.9%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Grok Voice 3.0 | 98.5% | Oct 2026 | Lab model card | |
| 2 | Grok Voice 2.0 | 97.2% | Jul 2026 | Lab model card | |
| 3 | GPT-Realtime-2 | 96.6% | May 2026 | Lab model card | |
| 4 | MiMo-V2-Omni | 94% | Mar 2026 | Lab model card | |
| 5 | gpt-realtime | 82.8% | Aug 2025 | Lab model card | |
| 6 | TML-Interaction-Small | 75.7% | May 2026 | Lab model card | |
| 7 | MiMo-Audio-7B-Instruct | 72.9% | Sep 2025 | Lab model card |
5 models have held number one in labs’ own numbers since its release in December 2024
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Labs’ model cards
Xiaomi Corp’s own number for MiMo-V2-Omni passed 85% in March 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
One lab put it in a launch post in the last six months
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 14, 2026 | Grok Voice 3.0 | 98.5 | Speech Reasoning Big Bench Audio (per Artificial Analysis) |
| Jul 29, 2026 | Grok Voice 2.0 | 97.2 | Speech Reasoning Big Bench Audio (per Artificial Analysis) |
| May 11, 2026 | TML-Interaction-Small | 75.7 | BigBench Audio accuracy, audio, first reported value 75.7, alternative 96.5 setting shown |
| May 7, 2026 | GPT-Realtime-2 | 96.6 | Big Bench Audio (Intelligence), gpt-realtime-2 (high) |
| Mar 18, 2026 | MiMo-V2-Omni | 94 | BigBench Audio |
| Sep 18, 2025 | MiMo-Audio-7B-Instruct | 72.9 | Best of Big Bench Audio S2T 72.9 / S2S 60.2 |
| Aug 28, 2025 | gpt-realtime | 82.8 | Big Bench Audio (Intelligence) |
One system card reports it
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 |
|---|---|---|---|---|
| Sep 18, 2025 | MiMo-Audio-7B-Instruct technical report | 72.9 | Big Bench Audio S2T 72.90, S2S 60.20, GPT-4o-mini judge (Table 8) | 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%
- 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%