Ling-3.0-flash: benchmark results
InclusionAI's open 124B MoE (5.1B active) with native hybrid-linear attention and hybrid reasoning, built for high-throughput agent workloads (July 2026). Provider: InclusionAI. Released 2026-07-23. Access: Open.
Unified ELO 1764 ± 14, rank #206 of 2650 rated models, from 152 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| ArtifactsBench | 77 | AVG (self-reported) | 100 |
| LLM Stats (Multi-IF) | 87.7 | Score (%) | 100 |
| Multi-IF | 87.7 | Average (self-reported) | 96.4 |
| AA-Omniscience Hallucination Rate | 44.05 | Hallucination Rate (%) | 85.4 |
| BenchmarkList ECI | 132.17 | Capability Index (ECI) | 80.8 |
| Nejumi 4 - GLP - Information Retrieval | 80.45 | Score (%) | 80.5 |
| Artificial Analysis Intelligence Index | 24.94 | Intelligence Index | 80.2 |
| LLM Stats Score | 36.36 | LLM Stats Score (conservative rating) | 79.1 |
| Nejumi 4 - GLP - Abstract Reasoning | 71 | Score (%) | 78.9 |
| AA GPQA Diamond | 85.45 | Accuracy (%) | 78.7 |
| Tinybird AI SQL Benchmark - First-Attempt Success Rate | 98 | Questions answered with a valid query on the first attempt ( | 78.1 |
| AA Humanity's Last Exam | 23.68 | Accuracy (%) | 75.4 |
Interactive version: theaggregate.ai/model?slug=ling-3-0-flash · How It Works · Data refreshed daily, snapshot 2026-09-20.