Side-by-side comparison of Jamba 1.5 Large (AI21 Labs · Israel) and Ling-2.6 1T (inclusionAI · China) for self-hosted deployment of the open-weight model. Jamba 1.5 Large is rated conditional; Ling-2.6 1T is conditional. They part ways on licence: Jamba 1.5 Large is "Jamba Open", Ling-2.6 1T is "MIT".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional SSM-Transformer hybrid (Mamba) with 256K context. Jamba Open Model License permits commercial use below $50M annual revenue; above that, paid licence required. Israel jurisdiction; EU adequacy decision in place. | 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 | 2026-04-15 | 2026-05-03 |
| Open-weight | ||
| Licence | Jamba Open | MIT |
| Commercial use | Under $50M rev. | Unrestricted |
| Training data | Undisclosed | Undisclosed |
| Origin | Israel | China |
| Performance & pricing? | ||
| Quality index | 11/100 | — |
| Speed | — | — |
| Blended price | $3.50/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.