Side-by-side comparison of Grok-2 (xAI · USA) and Ling-2.6 Flash (inclusionAI · China) for self-hosted deployment of the open-weight model. Grok-2 is rated conditional; Ling-2.6 Flash is conditional. They part ways on licence: Grok-2 is "Grok 2 Community", Ling-2.6 Flash is "MIT".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional xAI's first open-weights release. Commercial use allowed under the Grok 2 Community License with xAI's Acceptable Use Policy. Notable restriction: weights cannot be used to train other models (distillation ban). 500GB model, needs 8 GPUs with 40GB+. | Conditional Per the published model card, Ling-2.6 Flash is an MIT-licensed 104B / 7.4B-active MoE built on a hybrid Lightning-Linear + MLA attention design, positioned for agentic and tool-use workflows. Permissive weights are deployable in EU infrastructure; the headline risks for regulated buyers are vendor jurisdiction (Ant Group's inclusionAI lab, headquartered in China) and the absence of any training-data disclosure in the model card. |
| Last reviewed | 2026-04-16 | 2026-05-03 |
| Open-weight | ||
| Licence | Grok 2 Community | MIT |
| Commercial use | Yes (w/ AUP) | Unrestricted |
| Training data | Undisclosed | Undisclosed |
| Origin | USA | China |
| Performance & pricing? | ||
| Quality index | 14/100 | — |
| Speed | — | — |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.