inclusionAI: Ling 3.0 Flash: *Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic inference* as key priorities, enabling developers...
Pillar = mean of 1 scaled value = 30.2.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: HN mentions (7d), Reddit mentions (7d), Bluesky mentions (7d), Mastodon mentions (7d), Wikipedia views (30d), GitHub repos using this model, Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), GitHub stars, GitHub mentions (7d)
[](https://agenttape.com/agents/inclusionai-ling-3-0-flash)
<a href="https://agenttape.com/agents/inclusionai-ling-3-0-flash"><img src="https://agenttape.com/api/badge/inclusionai-ling-3-0-flash.svg" alt="AgentTape" /></a>
| Benchmark | Score | Max | Captured |
|---|---|---|---|
| aa-coding-index | 50.60 | 100.00 | Sep 24, 2026 |
| aa-intelligence-index | 20.10 | 100.00 | Sep 30, 2026 |
| aa-lcr | 73.00 | 100.00 | Sep 24, 2026 |
| gpqa-diamond | 85.50 | 100.00 | Sep 24, 2026 |
| hle | 23.70 | 100.00 | Sep 24, 2026 |
| scicode | 42.00 | 100.00 | Sep 24, 2026 |
| tau-banking | 27.22 | 100.00 | Sep 24, 2026 |
| terminal-bench-2-1 |
| 55.43 |
| 100.00 |
| Sep 24, 2026 |