Ling-1T: benchmark results
Ant Group inclusionAI's open trillion-parameter MoE flagship (~50B active), tuned for code, math and efficient inference (October 2025). Provider: InclusionAI. Released 2025-10-09. Access: Open.
Unified ELO 1571 ± 1, rank #360 of 1392 rated models, from 57 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| CritPt | 60 | Accuracy (self-reported) | 91.9 |
| AA Omniscience - Software Engineering (SWE) - HTML | 44 | Accuracy (%) | 80.7 |
| AA Omniscience - Software Engineering (SWE) - Java | 21 | Accuracy (%) | 77.3 |
| AA Omniscience - Software Engineering (SWE) - Python | 27 | Accuracy (%) | 76.8 |
| AA Omniscience - Software Engineering (SWE) - Kotlin | 26 | Accuracy (%) | 76.6 |
| UGI - Natural Intelligence | 30.84 | NatInt Score | 75.8 |
| AA MMLU-Pro | 82.2 | Accuracy (%) | 75.1 |
| AA Omniscience - Software Engineering (SWE) - R | 16 | Accuracy (%) | 72.5 |
| UGI Leaderboard | 41.3 | UGI Score | 70.2 |
| AA Omniscience - Software Engineering (SWE) - PHP | 28 | Accuracy (%) | 69.1 |
| AA Omniscience - Software Engineering (SWE) - Rust | 54 | Accuracy (%) | 68.9 |
| AA Omniscience - Software Engineering (SWE) - Julia | 16 | Accuracy (%) | 68.8 |
Interactive version: theaggregate.ai/model?slug=ling-1t · How It Works · Data refreshed daily, snapshot 2026-09-05.