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AI model comparison

Ling 3.0 Flash vs Ling 3.0 Flash VL

Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.

Ling 3.0 Flash is a text reasoning checkpoint. Flash VL adds image and video understanding and a multimodal processor. The released VL configuration has a smaller native position limit, with a separate long-context extension recipe.

Side-by-sideCapabilities and practical differences

inclusionAI

Ling 3.0 Flash

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

Context
262.14K

Accepts

  • Text input

Produces

  • Text output
Full model profileModel card on Hugging Face ↗
VS

inclusionAI

Ling 3.0 Flash VL

Ling 3.0 Flash VL adds image and video understanding to the Ling reasoning architecture for visual analysis and agents.

Context
131.07K

Accepts

  • Text input
  • Image input
  • Video input

Produces

  • Text output
Full model profileModel card on Hugging Face ↗

At a glance

Key differences

Compare the available figures below, then try both models on the work you need to do.

Ling 3.0 Flash

  • Context capacity: 262.14K

Context capacity

Higher listed limit

Ling 3.0 Flash:262.14K

Ling 3.0 Flash VL:131.07K

Ling 3.0 Flash

Specifications

Pricing, limits and capabilities

Specifications for Ling 3.0 Flash and Ling 3.0 Flash VL. Higher limits and lower prices describe these figures only.
SpecificationLing 3.0 FlashLing 3.0 Flash VL
ProviderinclusionAIinclusionAI
Listed pricing routeinclusionAIinclusionAI
Model family——
Accepted inputstexttext, image, video
Produced outputstexttext
Context window262.14KHigher131.07K
Reasoning modeDocumentedDocumented
Tool callingNot documentedNot documented
Image inputNot documentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedNot documented
LicenseMITMIT

Workload guidance

Which model should you choose?

Use the text checkpoint when the supplied evidence is entirely text and code. Select VL when screenshots, diagrams or video are necessary to answer the question. Account for visual preprocessing and the exact context recipe instead of assuming both deployments have identical memory requirements.

Documentation and model profiles

Explore each model’s features, API requirements and licence terms in the sources below.

Questions people ask

It brings together documented inputs and outputs, token limits, deployment terms and available pricing. When both models have source-linked, verified results on a shared benchmark, those results are shown with their individual sources. The comparison is a starting point for evaluating your own workload.

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