Voice Standard v0.1.3 (gpt-5.6-sol; 900s) - Information Extraction: leaderboard

Published information_extraction task_quality (1-100), canonical v0.1.3, 900s 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, 900s 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: Around January 2027. 53 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Luna (High)89#52 (GPT-6 Luna)
2Kimi K386#30
3GPT-5.6 Luna86#69
4GPT-5.6 Terra86#42
5GPT-5.584#32
6Claude Opus 584#12
7Claude Opus 5.584#3
8DeepSeek V4.1 Flash83#36
9GPT-6 Luna83#52
10GPT-4.181#243
11GPT-6 Sol81#14
12Claude Sonnet 580#55
13GPT-6 Astra80#5
14Claude Haiku 5.580#35
15GPT-578#94

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-900s-information-extraction · How It Works · Data refreshed daily, snapshot 2026-10-16.