HELM Audio - Covost2: leaderboard

The "Covost2" 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: BLEU. Source: crfm.stanford.edu. Saturation forecast: Estimated already saturated. 17 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 05-06)35.66#148
2Gemini 2.0 Flash33.47#344
3Gemini 2.5 Flash (Preview 05-20)33.39#214
4Gemini 1.5 Pro (002)33#350
5Gemini 2.0 Flash (Preview)32.9#366
6Gemini 1.5 Pro (001)32.66#446
7Gemini 2.0 Flash Lite31.77#453
8Gemini 1.5 Flash (001)30.7#580
9Gemini 1.5 Flash (002)30.6#585
10Qwen2-Audio-7B-Instruct28.28#888
11Qwen2.5-Omni-7B20.5#632

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-covost2 · How It Works · Data refreshed daily, snapshot 2026-10-23.