Side-by-side comparison of DeepSeek-V4-Flash (DeepSeek · China) and Ling-2.6 1T (inclusionAI · China) for self-hosted deployment of the open-weight model. DeepSeek-V4-Flash is rated conditional; Ling-2.6 1T is conditional. They part ways on training data: DeepSeek-V4-Flash is "Categories only", Ling-2.6 1T is "Undisclosed".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional DeepSeek-V4-Flash is the smaller-active sibling of V4-Pro under the same MIT terms — permissive on the weights, but the China-based vendor and undocumented training corpus mean any EU deployment still needs a self-hosted topology and a deployer-side GPAI documentation file under AI Act Article 53. | 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. |
| Last reviewed | 2026-04-28 | 2026-05-03 |
| Open-weight | ||
| Licence | MIT | MIT |
| Commercial use | Unrestricted | Unrestricted |
| Training data | Categories only | Undisclosed |
| Origin | China | China |
| Performance & pricing? | ||
| Quality index | 47/100 | — |
| Speed | 79 tok/s | — |
| Blended price | $0.17/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.