HELM Audio - Audio Scenarios: leaderboard
The "Audio Scenarios" subtask of HELM Audio. Stanford HELM's audio project (AHELM): audio-language models are given speech and sound clips and scored on transcription, spoken-question answering, reasoning over audio, speaker and emotion attributes, safety and fairness.
Metric: Mean win rate. Source: crfm.stanford.edu. Saturation forecast: Estimated already saturated. 17 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 2.5 Pro (Preview 05-06) | 80.26 | #148 |
| 2 | Gemini 2.0 Flash | 63.32 | #344 |
| 3 | Gemini 2.0 Flash (Preview) | 61.35 | #366 |
| 4 | Gemini 1.5 Pro (002) | 59.21 | #350 |
| 5 | Gemini 2.0 Flash Lite | 53.95 | #453 |
| 6 | Gemini 2.5 Flash (Preview 05-20) | 49.67 | #214 |
| 7 | Qwen2.5-Omni-7B | 49.51 | #632 |
| 8 | Gemini 1.5 Flash (002) | 40.13 | #585 |
| 9 | Gemini 1.5 Pro (001) | 36.18 | #446 |
| 10 | Qwen2-Audio-7B-Instruct | 29.28 | #888 |
| 11 | Gemini 1.5 Flash (001) | 22.04 | #580 |
No result here: #4 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=helm-audio-audio-scenarios · How It Works · Data refreshed daily, snapshot 2026-10-23.