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Model infoModelsSnapshot: 15 Oct 2026

Playground / Playground Research

Playground v3

Research-backed image model using deep integration with a frozen language encoder for prompt understanding.

restrictedClosed weightsImage generation
Official documentation (opens in a new tab)Reviewed 15 Oct 2026
7 of 20 specification fields collected
Context windowNot collectedAwaiting source review
Maximum outputNot collectedAwaiting source review
Input billingNot collectedPlayground product / research
Output billingNot collectedNo inferred price

Specifications

Provider-documented facts. “Not collected” means we have not verified that field yet, not that the feature is unsupported.

Context / input limit
Not collected

Not established for this exact model or operation. Media controls, research training sizes and integration protocols do not establish language-model token or capability limits.

Maximum input tokens
Not collected

Not established for this exact model or operation. Media controls, research training sizes and integration protocols do not establish language-model token or capability limits.

Maximum output
Not collected

Not established for this exact model or operation. Media controls, research training sizes and integration protocols do not establish language-model token or capability limits.

Maximum prompt characters
Not collected

Not established for this exact model or operation. Media controls, research training sizes and integration protocols do not establish language-model token or capability limits.

Reasoning
Not collected

Not established for this exact model or operation. Media controls, research training sizes and integration protocols do not establish language-model token or capability limits.

Tool calling
Not collected

Not established for this exact model or operation. Media controls, research training sizes and integration protocols do not establish language-model token or capability limits.

Structured output
Not collected

Not established for this exact model or operation. Media controls, research training sizes and integration protocols do not establish language-model token or capability limits.

Streaming
Not collected

Not established for this exact model or operation. Media controls, research training sizes and integration protocols do not establish language-model token or capability limits.

Batch processing
Not collected

Not established for this exact model or operation. Media controls, research training sizes and integration protocols do not establish language-model token or capability limits.

Fine-tuning
Not collected

Not established for this exact model or operation. Media controls, research training sizes and integration protocols do not establish language-model token or capability limits.

Context caching
Not collected

Not established for this exact model or operation. Media controls, research training sizes and integration protocols do not establish language-model token or capability limits.

Knowledge cutoff
Not collected

Not established for this exact model or operation. Media controls, research training sizes and integration protocols do not establish language-model token or capability limits.

Release date
Not collected

Not established for this exact model or operation. Media controls, research training sizes and integration protocols do not establish language-model token or capability limits.

Parameters
24B reported model scaleSource for Parameters (opens in a new tab)

Do not add the 8B encoder to infer a total checkpoint size.

Architecture
Latent diffusion with EDM scheduling, a DiT image network conditioned at corresponding layers by frozen Llama3-8B, and an in-house 16-channel VAE.Source for Architecture (opens in a new tab)
Languages
Paper demonstrates English, Spanish, Filipino, French, Portuguese and Russian prompt understanding. It warns that non-English text rendering was not trained.Source for Languages (opens in a new tab)
Published training method
Multi-aspect training at 256, 512 and 1024 pixel scales; multi-detail captions and post-training model merging. Training scales are not API output limits.Source for Published training method (opens in a new tab)
Color controls
RGB prompt conditioning for global palettes and individual objects.Source for Color controls (opens in a new tab)

Access & pricing

Prices belong to an endpoint and billing tier. A provider listing does not guarantee access for every account or region.

Playground product / research

Provider source (opens in a new tab)
API model ID
Not collected

Exact checkpoint selector is not established.

Access
Official page describes deployed PGv3. Current signed-in selector, version availability and public API access were not independently verified.
Regions
Deployment regions not established

Endpoint pricing has not been collected. Check the provider for applicable rates.

Data & enterprise terms

Retention, training use, regional processing and enterprise terms have not been summarized for this endpoint.

Caching

Caching can reuse earlier input processing. Availability, lifetime and billing depend on the endpoint. A cache hit still generates a new response.

01 / INITIAL INPUTProcess & retain

The system processes eligible input and retains reusable state.

02 / LATER REQUESTCheck available state

Reuse depends on matching input, session state and the cache policy.

03 / CACHE HITReuse & generate

Reusing state can reduce repeated work. Any charges follow the billing rules below.

Playground product / research

Not verified

No reviewed prompt-cache support contract or tariff. Fixed generation, image history and asynchronous task polling are not prompt caching.

How it works
Not collected

No reviewed prompt-cache support contract or tariff. Fixed generation, image history and asynchronous task polling are not prompt caching.

Minimum reusable input
Not collected

No reviewed prompt-cache support contract or tariff. Fixed generation, image history and asynchronous task polling are not prompt caching.

Lifetime & refresh
Not collected

No reviewed prompt-cache support contract or tariff. Fixed generation, image history and asynchronous task polling are not prompt caching.

How to enable it
Not collected

No reviewed prompt-cache support contract or tariff. Fixed generation, image history and asynchronous task polling are not prompt caching.

Usage fields
Not collected

No reviewed prompt-cache support contract or tariff. Fixed generation, image history and asynchronous task polling are not prompt caching.

Billing rules
Not collected

No reviewed prompt-cache support contract or tariff. Fixed generation, image history and asynchronous task polling are not prompt caching.

Limits & data boundaries
Not collected

No reviewed prompt-cache support contract or tariff. Fixed generation, image history and asynchronous task polling are not prompt caching.

No verified cache rate for this endpoint. An empty rate is not a zero charge.

Caching reviewed 15 Oct 2026

What the measurements say

DPG-bench

Playground Research · provider-reported
87.04score

September 2024 paper evaluation; not a present-day cross-provider ranking or latency guarantee.

Evaluation source (opens in a new tab)

Latency and throughput depend on the host, request size, reasoning settings and load. There is no measured speed or global usage figure in this record.

The record behind the model

Why it is included

Private hosted/research classification is inferred from the provider describing its own model and no matching weights in its reviewed official public repository inventory. Public Playground v1/v2/v2.5 weights and the frozen upstream Llama encoder are excluded from this claim. Exact weight-license terms remain unverified.

Classification evidence (opens in a new tab)

Lifecycle dates

Technical report v1 published; not an asserted product release date16 Sept 2024Source (opens in a new tab)

Sources reviewed