Tasks and inputs
Ling 2.6 Flash 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
Ling 2.6 Flash is a hybrid-attention instruction checkpoint designed for concise responses and repeated agent tool workflows.
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
Ling 2.6 Flash is a hybrid-attention instruction checkpoint designed for concise responses and repeated agent tool workflows.
Ling 2.6 Flash is an instruction model with 104B total parameters and 7.4B active parameters according to the publisher. Its training emphasizes useful task execution with lower output overhead. This makes it a candidate when routine agent requests need a short actionable result rather than an extended explanation.
The released configuration sets a 131,072-token position limit and combines hybrid attention with sparse experts. Confirm the serving recipe before enabling a larger context. A small active parameter count does not mean that the complete weights occupy the memory of a small dense model.
Try a sequence of support lookups, a repository change and a tool request with incomplete information. Review whether the assistant asks for the missing input, returns valid arguments and uses the supplied result correctly. Track unnecessary output and repeated calls alongside successful task completion.
The MIT-licensed checkpoint can be served with an engine that supports its architecture and formatting. A managed deployment may expose different limits and feature switches. This profile describes the checkpoint, while the separate hosted route has its own provider, billing and operational terms. Budget self-hosted hardware and concurrency explicitly before using download availability as a proxy for low operating cost.
Compare the model on the work you need to complete.
Ling 2.6 Flash 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.
inclusionAI
Ling 3.0 Tiny is a compact MIT-licensed reasoning checkpoint with 7.9B total parameters and 1.3B active per token.
Meituan LongCat
LongCat 2.5 Preview is Meituan’s hosted multimodal reasoning model for coding and agent work, with a one-million-token context.
Meituan LongCat
LongCat Flash Lite Sparse adds sparse attention and native long-context support to the non-thinking LongCat Lite family.