Voice Standard v0.1.3 (gpt-5.6-sol; 3600s) - Information Extraction: leaderboard
Published information_extraction task_quality (1-100), canonical v0.1.3, 3600s 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, 3600s 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
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Opus 5 | 85 | #12 |
| 2 | GPT-5 | 84 | #94 |
| 3 | GPT-6 Astra | 84 | #5 |
| 4 | Claude Opus 5.5 | 84 | #3 |
| 5 | GPT-6 Sol | 84 | #14 |
| 6 | GPT-6 Luna | 83 | #52 |
| 7 | GPT-5.6 Luna | 81 | #69 |
| 8 | GPT-6 Luna (High) | 81 | #52 (GPT-6 Luna) |
| 9 | Claude Opus 4.6 | 80 | #60 |
| 10 | Claude Sonnet 4.5 | 79 | #143 |
| 11 | Kimi K3 | 79 | #30 |
| 12 | Claude Sonnet 5 | 79 | #55 |
| 13 | Gemini 2.5 Pro | 78 | #150 |
| 14 | GPT-5.2 | 78 | #109 |
| 15 | GPT-5.5 | 78 | #32 |
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-3600s-information-extraction · How It Works · Data refreshed daily, snapshot 2026-10-16.