Side-by-side comparison of GPT-OSS 20B (OpenAI · USA) and Ling-2.6 1T (inclusionAI · China) for self-hosted deployment of the open-weight model. GPT-OSS 20B is rated conditional; Ling-2.6 1T is conditional. They part ways on licence: GPT-OSS 20B is "Apache 2.0", Ling-2.6 1T is "MIT".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Based on published licence terms, GPT-OSS 20B is released under Apache 2.0 with no field-of-use carve-outs in the licence itself; OpenAI publishes a separate non-binding 'gpt-oss usage policy' as guidance. Training-data disclosure is domain-level only, and US origin carries Schrems-II / CLOUD-Act exposure that enterprise deployers should document for EU workloads. | 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 | 2026-04-17 | 2026-05-03 |
| Open-weight | ||
| Licence | Apache 2.0 | MIT |
| Commercial use | Unrestricted | Unrestricted |
| Training data | Domain-level summary | Undisclosed |
| Origin | United States | China |
| Performance & pricing? | ||
| Quality index | 25/100 | — |
| Speed | 294 tok/s | — |
| Blended price | $0.10/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.