Voice Standard v0.1.3 (gpt-5.6-sol; 30s) - Information Extraction: leaderboard

Published information_extraction task_quality (1-100), canonical v0.1.3, 30s audio-length bucket; reference-free gpt-5.6-sol rubric, source transcript as context; normalized 1-5 rubric components; higher is better. Latency, cost and mixed-judge composites are not scored here.

Metric: Published information_extraction task_quality (1-100), canonical v0.1.3, 30s audio-length bucket; reference-free gpt-5.6-sol rubric, source transcript as context; normalized 1-5 rubric components; higher is better. Latency, cost and mixed-judge composites are not scored here.. Source: raw.githubusercontent.com. Saturation forecast: Estimated already saturated. 53 models tracked.

Top models

#ModelScoreOverall rank
1Claude Haiku 5.594#35
2GPT-6 Luna (High)94#52 (GPT-6 Luna)
3Claude Opus 4.893#38
4GPT-5.6 Luna93#69
5GPT-6 Astra93#5
6GPT-591#94
7Claude Opus 4.791#49
8Claude Opus 4.5 (20251101)91#72
9Gemini 3.8 Flash (Low)91#21 (Gemini 3.8 Flash)
10Gemma 4 31B90#195
11DeepSeek V4.1 Flash90#36
12Claude Sonnet 4.689#89
13Claude Sonnet 4.589#143
14MiniMax-M389#135
15Kimi K389#30

No result here: #8 GPT-6.1 Sol, #9 Claude Fable 5.1, #10 Claude Sonnet 5.5.

Interactive version: theaggregate.ai/benchmark?slug=voice-standard-v0-1-3-gpt-5-6-sol-30s-information-extraction · How It Works · Data refreshed daily, snapshot 2026-10-16.