inclusionAI: Ling-2.6-flash: Ling-2.6-flash is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, designed for real-world agents that require fast responses, strong execution, and high token efficiency....
No signals on file for this pillar yet — it contributes 0 to the headline. The headline is a flat weighted sum, so a missing pillar costs its full weight (no redistribution).
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), OpenRouter tokens (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-2-6-flash)
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| Benchmark | Score | Max | Captured |
|---|---|---|---|
| aa-coding-index | 25.30 | 100.00 | Sep 24, 2026 |
| aa-intelligence-index | 9.70 | 100.00 | Sep 24, 2026 |
| aa-lcr | 31.33 | 100.00 | Sep 24, 2026 |
| gpqa-diamond | 59.30 | 100.00 | May 18, 2026 |
| hle | 6.30 | 100.00 | Sep 24, 2026 |
| ifbench | 57.41 | 100.00 | Jun 25, 2026 |
| scicode | 27.10 | 100.00 | May 18, 2026 |
| tau-banking |
| 2.89 |
| 100.00 |
| Sep 24, 2026 |
| tau2-bench-telecom | 85.96 | 100.00 | Sep 24, 2026 |
| terminal-bench-2-1 | 24.34 | 100.00 | Sep 24, 2026 |
| terminal-bench-hard | 21.21 | 100.00 | Sep 24, 2026 |