Ring-1T: benchmark results
InclusionAI's open 1T-parameter Ring 1T reasoning MoE (October 2025). Provider: InclusionAI. Released 2025-07-01. Access: Open.
Unified ELO 1587 ± 1, rank #301 of 1392 rated models, from 65 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| CritPt | 60 | Accuracy (self-reported) | 91.9 |
| AA AIME 2025 | 89.33 | Accuracy (%) | 89.3 |
| ConStory-Bench | 0.54 | CED errors per 10K words (lower is better) | 81.2 |
| UGI - Natural Intelligence | 33.69 | NatInt Score | 80.2 |
| AA Omniscience - Software Engineering (SWE) - Julia | 20 | Accuracy (%) | 75.4 |
| Kagi LLM Benchmark | 66.4 | Accuracy (%) | 74.6 |
| AA Omniscience - Software Engineering (SWE) - Kotlin | 24 | Accuracy (%) | 72.5 |
| UGI Leaderboard | 41.69 | UGI Score | 71.1 |
| AA Omniscience - Software Engineering (SWE) - Swift | 40 | Accuracy (%) | 70.1 |
| LLM2014 Logic 2025-10 | 46.07 | Median Score | 69.4 |
| AA Omniscience - Software Engineering (SWE) - Python | 23.47 | Accuracy (%) | 67.2 |
| AA Omniscience - Software Engineering (SWE) - C | 41 | Accuracy (%) | 66.4 |
Interactive version: theaggregate.ai/model?slug=ring-1t · How It Works · Data refreshed daily, snapshot 2026-09-05.