inclusionAI: LLaDA-ImageActive

inclusionai/llada-image

LLaDA-Image is a competitive 6B-parameter open-source unified image generation and editing model. It is the 50-step base variant for high-quality text-to-image generation and instruction-guided editing, supporting reference-image editing and Chinese-English text rendering with strong visual detail, natural lighting, and coherent composition.

By:inclusionAIInput Type:Output Type:Publish time:2026-10-13

Providers

Route requests across multiple providers. Copy a provider slug to set your preference.

ProviderCache Hit RateContext

Tbox

theta

--$0.06/countsRead:-/ M tokensWrite:-/ M tokens2K--

Uptime

24hours

Direct request success rate on AI Gateway and per-provider.

Throughput

24hours

P50 throughput on live AI Gateway traffic, in tokens per second (TPS).

Latency

24hours

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.

Activity

Token volume and request traffic to this model over time.

Token Consumption

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows

Metrics sourced fromArtificial Analysis

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for. View All

Token Ranking

Related Models

More models from inclusionAI

inclusionAI: Ling-3.1-flash

12.16Btokens

Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.

inclusionAI: Ming Image 0.1 Design Layer

16.01Mtokens

Ming Image 0.1 Design Layer is an image-to-image model from inclusionAI that decomposes a flattened design image into separate RGBA layers, such as a background layer and foreground elements, and returns one image per layer. It requires exactly one reference image and a prompt describing the layer plan. Output format can be requested as PNG or WebP. Output dimensions follow the input image, so explicit sizes and aspect ratios are rejected instead of silently reshaped.

inclusionAI: Ming Image 0.1 Design

198.71Mtokens

Ming Image 0.1 Design is a text-to-image model from inclusionAI aimed at graphic-design output, with an emphasis on legible text rendering inside the generated image. It generates from a prompt only and does not accept reference images. Output format can be requested as PNG, JPEG, or WebP. Image dimensions are chosen by the model rather than by the request, so explicit sizes and aspect ratios are rejected instead of silently reshaped.