Voice Standard v0.1.3 (gpt-5.6-sol; 120s) - Information Extraction: leaderboard

Published information_extraction task_quality (1-100), canonical v0.1.3, 120s 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, 120s 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
1nemotron-lightning-3p5-30B-a3B100#1081
2GPT-5.6 Luna95#69
3GPT-6 Luna (High)94#52 (GPT-6 Luna)
4GPT-593#94
5GPT-5.593#32
6Claude Opus 4.693#60
7GPT-6 Astra93#5
8GPT-6 Sol93#14
9Claude Opus 4.891#38
10GPT-5.6 Terra91#42
11Claude Haiku 5.591#35
12Gemini 3.5 Flash90#57
13Claude Haiku 4.5 (20251001)90#254
14Kimi K390#30
15Claude Opus 590#12

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-120s-information-extraction · How It Works · Data refreshed daily, snapshot 2026-10-16.