Ring-flash-2.0: benchmark results
InclusionAI's open 100B MoE thinking model (6.1B active), the RL-trained reasoning counterpart of Ling-flash-2.0 (September 2025). Provider: InclusionAI. Released 2025-09-19. Access: Open.
Unified ELO 1540 ± 1, rank #481 of 1392 rated models, from 49 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| CritPt | 30 | Accuracy (self-reported) | 80.8 |
| AA AIME 2025 | 83.67 | Accuracy (%) | 79.8 |
| AA Omniscience - Software Engineering (SWE) - Kotlin | 20 | Accuracy (%) | 63 |
| AA Omniscience - Software Engineering (SWE) - Swift | 36 | Accuracy (%) | 60.6 |
| AA LiveCodeBench | 62.75 | Pass@1 (%) | 59.4 |
| AA MMLU-Pro | 79.27 | Accuracy (%) | 59.1 |
| SuiChat-CN | 68.7 | Standard F1 (self-reported) | 58.1 |
| AA Omniscience - Software Engineering (SWE) - Julia | 12 | Accuracy (%) | 58 |
| AA Omniscience - Software Engineering (SWE) - Python | 19.5 | Accuracy (%) | 56.1 |
| AA Humanity's Last Exam | 9.64 | Accuracy (%) | 52.7 |
| AA GPQA Diamond | 72.53 | Accuracy (%) | 52 |
| AA Omniscience - Software Engineering (SWE) - C | 31 | Accuracy (%) | 50.5 |
Interactive version: theaggregate.ai/model?slug=ring-flash-2-0 · How It Works · Data refreshed daily, snapshot 2026-09-05.