Side-by-side comparison of Ling-2.6 1T (inclusionAI · China) and Talkie-1930-13B Base (Talkie-LM (research)) for self-hosted deployment of the open-weight model. Ling-2.6 1T is rated conditional; Talkie-1930-13B Base is conditional. They part ways on licence: Ling-2.6 1T is "MIT", Talkie-1930-13B Base is "Apache 2.0".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Per the published model card, Ling-2.6 1T is an MIT-licensed 1-trillion-parameter MoE with a 262k-token context, hybrid MLA + Linear attention and multi-token-prediction support, targeted at production agentic workloads. Permissive weights enable EU self-hosting in principle, though the deployment footprint is non-trivial; vendor jurisdiction (Ant Group, China) and undisclosed training data remain the regulated-buyer blockers. | Conditional Per the published model card, Talkie-1930-13B Base is the pretrained sibling of the Talkie-1930 instruction-tuned release: an Apache 2.0 13B model trained on 260B tokens of pre-1931 English text drawn entirely from public-domain sources. Training-data transparency is unusually clean for AI Act Article 53 purposes; the limits are vendor jurisdiction (a US-affiliated research collaboration with no published EU DPA) and the deliberate vintage corpus, which makes the model unsuitable for any task requiring post-1931 factual knowledge. |
| Last reviewed | 2026-05-03 | 2026-05-03 |
| Open-weight | ||
| Licence | MIT | Apache 2.0 |
| Commercial use | Unrestricted | Unrestricted |
| Training data | Undisclosed | Documented |
| Origin | China | US (research) |
| Performance & pricing? | ||
| Quality index | — | — |
| Speed | — | — |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.