HELM Audio - Air Bench Foundation: leaderboard

The "Air Bench Foundation" 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: EM. Source: crfm.stanford.edu. Saturation forecast: Estimated already saturated. 17 models tracked.

Top models

#ModelScoreOverall rank
1Qwen2.5-Omni-7B74.35#632
2Qwen2-Audio-7B-Instruct72.39#888
3Gemini 2.0 Flash (Preview)69.77#366
4Gemini 2.0 Flash69.71#344
5Gemini 2.5 Pro (Preview 05-06)68.32#148
6Gemini 2.0 Flash Lite64.06#453
7Gemini 2.5 Flash (Preview 05-20)57.93#214
8Gemini 1.5 Pro (002)55.41#350
9Gemini 1.5 Pro (001)51.06#446
10Gemini 1.5 Flash (002)50.8#585
11Gemini 1.5 Flash (001)48.34#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-air-bench-foundation · How It Works · Data refreshed daily, snapshot 2026-10-23.