Side-by-side comparison of Ling-2.6 1T (inclusionAI · China) and Nemotron-3 Nano Omni 30B-A3B Reasoning (NVIDIA · USA) for self-hosted deployment of the open-weight model. Ling-2.6 1T is rated conditional; Nemotron-3 Nano Omni 30B-A3B Reasoning is conditional. They part ways on licence: Ling-2.6 1T is "MIT", Nemotron-3 Nano Omni 30B-A3B Reasoning is "NVIDIA Open Model".
| 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 NVIDIA Open Model Agreement, Nemotron-3 Nano Omni is commercially usable with a NOTICE-file attribution requirement and U.S. export-compliance obligations. Multimodal MoE (31B total / 3B active) accepting video, audio, image and text input, with reasoning-style chain-of-thought output. Training data is unusually well-documented (1,395 datasets, modality breakdown, CSAM scanning) — useful for AI Act Article 53 mapping. Vendor jurisdiction remains the US. |
| Last reviewed | 2026-05-03 | 2026-05-03 |
| Open-weight | ||
| Licence | MIT | NVIDIA Open Model |
| Commercial use | Unrestricted | Permitted (with attribution) |
| Training data | Undisclosed | Disclosed |
| Origin | China | USA |
| Performance & pricing? | ||
| Quality index | — | — |
| Speed | — | — |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.