Benchmarks / Other

Hearing Bench

Models see only a spectrogram image of a sound clip, never the audio, and must name the sound: everyday sounds, instrument notes, vocal sounds, spoken words and sentences. Strict grading; value is % of 100 clips correct.

9models
–Open Index weight
2026-10-13last updated
hearingbenchpublisher

Hearing Bench

Higher is better · best effort per model

Chart settings
9 of 9 selected

full table below

#ModelEffortScoreCost / taskHarness
1Gemini 4high44.0%$0.205Antigravity
2Opus 5.5xhigh43.0%$0.187Claude Code
3Gemini 3.8 Flashhigh29.0%$0.062Antigravity
4GPT-6.1 Solxhigh26.0%$0.015Codex
5GPT-6 Astraxhigh22.0%$0.053Codex
6Sonnet 5.5xhigh20.0%$0.013Claude Code
7Grok 4.7high17.0%$0.107Cursor
8Haiku 5.5medium9.0%$0.0006Claude Code
9GPT-6 Lunaxhigh9.0%$0.0009Codex