AI model comparison

Ming Image 0.1 Design vs Ming Image 0.1 Design Layer

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

Ming Image Design creates a graphic from a prompt, while Design Layer decomposes a supplied flat graphic into transparent raster layers. They solve different stages of a design workflow.

Side-by-sideCapabilities and practical differences

inclusionAI

Ming Image 0.1 Design

Ming Image 0.1 Design generates interface visuals, infographics and graphic compositions, including transparent RGBA images.

Accepts

  • Text input

Produces

  • Image output
VS

inclusionAI

Ming Image 0.1 Design Layer

Ming Image 0.1 Design Layer separates a flattened design into requested transparent image layers for editing and recomposition.

Accepts

  • Text input
  • Image input

Produces

  • Image output

Specifications

Pricing, limits and capabilities

Specifications for Ming Image 0.1 Design and Ming Image 0.1 Design Layer. Higher limits and lower prices describe these figures only.
SpecificationMing Image 0.1 DesignMing Image 0.1 Design Layer
ProviderinclusionAIinclusionAI
Listed pricing routeinclusionAIinclusionAI
Model family——
Accepted inputstexttext, image
Produced outputsimageimage
Reasoning modeNot documentedNot documented
Tool callingNot documentedNot documented
Image inputNot documentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedNot documented
LicenseMITMIT

Workload guidance

Which model should you choose?

Choose Design to explore a composition from a written brief. Choose Design Layer when an existing image needs separated elements for editing. Inspect alpha edges and reconstructed output before using the layers; neither route establishes native editable typography or vector paths.

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.

Compare a different pair

Search by model or provider to explore another comparison.

Open model comparison