Benchmarks / Reasoning

Hearing Benchcommunity

Models see a spectrogram image of a short sound clip and name the sound, with no tools. 100 clips across five tiers, from everyday sounds to spoken sentences.

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

Hearing Bench

Higher is better · best effort per model · Cost per clip at OpenRouter API list prices, 13 Oct 2026. Runs used each lab's own CLI harness.

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