Ling 3.0 Flash

SyncDev model directory · Profile updated Oct 13, 2026

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Ling 3.0 Flash is inclusionAI’s MIT-licensed hybrid reasoning checkpoint for long-context coding and agent tasks.

Key specifications

Specification score
35.2
Context window
262.14K
License
MIT
Parameters
5.1B active / 124B total

The specification score summarizes recorded features and limits. It is not a benchmark result.

Inputs and outputs

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

  • Text input

Produces

  • Text output

Capabilities

ReasoningStreamingOpen weights

What is Ling 3.0 Flash?

Ling 3.0 Flash is inclusionAI’s MIT-licensed hybrid reasoning checkpoint for long-context coding and agent tasks.

Hybrid attention for long conversations

The publisher describes a 124B model with 5.1B active parameters per token and a 256K context. Its backbone alternates Kimi Delta Attention and MLA, while sparse expert activation reduces computation per generated token. The release targets coding, research and general agent work rather than only short chat replies.

Serving an agent

Thinking is enabled by default. Preserve the model’s chat template and use the corresponding parser when a runtime exposes tools or reasoning blocks. The publisher provides SGLang and cache integration guidance for long histories. Cache configuration and active parameter counts are different considerations from the full memory required to load weights.

Compare complete tasks

Use a repository fix with a verifiable test, a document synthesis and a tool sequence that returns a known final state. Review whether the assistant follows earlier constraints after several tool responses. Measure retries and complete task time alongside prompt and generation throughput.

Checkpoint and service limits

This profile describes the downloadable checkpoint. A hosted provider may set its own context, output allowance, prices and request options. Use that provider’s rate card when budgeting API calls, and include runtime, hardware and operations when estimating self-hosting. Keep the selected checkpoint revision with evaluation results so later changes can be compared consistently.

Sources

Model documentation

How to evaluate Ling 3.0 Flash

Compare the model on the work you need to complete.

Tasks and inputs

Ling 3.0 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.

Capacity and cost

Documented limits: 262.14K context. Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.

Choosing a deployment

The weights are downloadable under MIT. Check runtime support and size the complete model and working context for your expected concurrency.

Frequently asked questions

Yes. The linked publisher repository supplies the weights or reference inference files and explains the supported runtime.

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