Ring 2.6 1T
Unavailable in this round
inclusionAI
Ring 2.6 1T combines one trillion total parameters with about 63 billion active per token. The open model brings a 262,144-token context and high or extra-high reasoning intensity together.
InclusionAI's own Ling model card calls Ling 3.0 Flash the next generation and explicitly positions it against the 1T-class Ring 2.6 1T model.
| Specification | Value and source |
|---|---|
| Weights | Open weightsSource |
| Access | API, LocalSource |
| Parameters | 1TSource |
| Active parameters | 63BSource |
| Context window | 262,144 tokensSource |
| License | MITSource |
| Parameters | 1,000 BSource |
| Active parameters | 63 BSource |
| Reasoning mode | high and xhigh reasoning-effort modesSource |
| Input | TextSource |
| Output | TextSource |
| Tool calling | YesSource |
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These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.
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One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.
Unavailable in this round
33.8 / 100
inclusionAI's own model card states Ling-3.0-Flash runs '124B total and 5.1B active parameters (~12.4% and ~8.1% of our previous 1T-class flagship Ring-2.6-1T)' and that it 'matches or outperforms its predecessor across key benchmarks,' naming Ring-2.6-1T as that predecessor despite the cross-line rebrand.
inclusionAI Ling-3.0-Flash model card (Hugging Face) (2026-09-19)| Type | Evidence and data date |
|---|---|
| Speed | Median across serving providers. Output speed after the first streaming chunk, not total response time. Retrieved September 8, 2026. |
| Price | Base API prices without caching or batch discounts. Higher context tiers and other rates are listed under Costs. |
| Input | Documented modalities. Retrieved September 8, 2026. |
| Output | Documented modalities. Retrieved September 8, 2026. |
| Research status | Research date September 8, 2026. 2 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication. |
| Not found in the inspected sources | architecture Original wording The checked card describes training and agent behavior but does not give a complete layer/expert architecture table. |
| Not found in the inspected sources | knowledge-cutoff Original wording The exact Ring-2.6-1T card does not publish a training-data cutoff. |
| Additional source | Artificial Analysis (retrieved October 15, 2026) |
| Additional source | Artificial Analysis (retrieved October 15, 2026) |
| Additional source | Artificial Analysis (retrieved October 15, 2026) |
| Additional source | Artificial Analysis (retrieved October 15, 2026) |
| Additional source | Artificial Analysis (retrieved October 15, 2026) |
| Additional source | Artificial Analysis (retrieved October 15, 2026) |
| Additional source | Artificial Analysis (retrieved October 15, 2026) |
| Additional source | Artificial Analysis (retrieved October 15, 2026) |
| Additional source | Artificial Analysis (retrieved October 15, 2026) |
| Additional source | Artificial Analysis (retrieved October 15, 2026) |
| Additional source | Artificial Analysis (retrieved October 15, 2026) |
| Additional source | InclusionAI Ling 3.0 Flash model card · Editorial description reviewed October 2, 2026 |
| Additional source | OpenRouter: Popularity index (derived), CC BY 4.0 |
| Additional source | Vercel AI Gateway: Popularity index (derived), CC BY 4.0 |
| Additional source | Creative Commons Attribution 4.0 |