Tasks and inputs
Ring 2.6 1T is listed for Text generation, Coding & Code Generation. It accepts text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 8, 2026
Ring 2.6 1T is inclusionAI’s large reasoning checkpoint for engineering, research and extended tool-assisted tasks.
The specification score summarizes recorded features and limits. It is not a benchmark result.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
Ring 2.6 1T is inclusionAI’s large reasoning checkpoint for engineering, research and extended tool-assisted tasks.
Ring 2.6 1T is a trillion-parameter sparse model whose training focuses on multi-step execution and tool collaboration. It is a candidate for an agent that must interpret evidence, plan work and revise the plan as tools return results.
The model card distinguishes a 128K native context from a 256K YaRN extension. The released configuration sets 131,072 positions, which this profile records as the native limit. Enabling the longer recipe requires a compatible runtime and additional capacity for the chosen concurrency.
Use an engineering task with a verifiable final result, such as diagnosing a failure and producing a tested patch. For research, give the model conflicting source passages and ask it to explain which evidence supports its conclusion. Evaluate the completed result and the trace of tool calls, including corrections and failed attempts.
The weights are MIT-licensed. Storage and memory requirements follow the complete trillion-parameter checkpoint, not only the experts active during a token. Keep thinking and tool-parser settings consistent between runs. A hosted route may introduce its own output allowance or request format, so a result from one service should be labeled with that route rather than presented as universal behaviour of every Ring deployment.
Compare the model on the work you need to complete.
Ring 2.6 1T is listed for Text generation, Coding & Code Generation. It accepts text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 131.07K context. Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.
The weights are downloadable under MIT. Check runtime support and size the complete model and working context for your expected concurrency.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
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inclusionAI
Ling 2.6 1T is a trillion-parameter MIT-licensed checkpoint for complex instruction following, coding and long-document workflows.
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Meituan LongCat
LongCat 2.5 Preview is Meituan’s hosted multimodal reasoning model for coding and agent work, with a one-million-token context.