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Model infoModelsSnapshot: 15 Oct 2026

Luminance / Luna

Luna Crescent

Proprietary legal model family specialized for contract extraction, classification and commercial analysis.

restrictedClosed weightsText generation
Official documentation (opens in a new tab)Reviewed 16 Oct 2026
5 of 18 specification fields collected
Context windowNot collectedAwaiting source review
Maximum outputNot collectedAwaiting source review
Input billingNot collectedLuminance platform
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

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Maximum input tokens
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Maximum output
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Parameters
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Release date
2026-06-19Source for Release date (opens in a new tab)

First Luna Crescent launch; later family revisions are not individually named.

Knowledge cutoff
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Tool calling
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Structured output
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Streaming
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Batch processing
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Fine-tuning
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Reasoning
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Context caching
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Base model
Not collected

The provider describes a capable general-purpose starting model, but does not identify the exact ancestor or version.

Architecture
General-purpose foundation model adapted with proprietary legal training, then repeatedly retrained and gated by benchmark and expert review.Source for Architecture (opens in a new tab)
Published training data
3.4M+ legal data points in the current family description; the launch describes a selected training subset drawn from a pool of over 220M verified legal documents.Source for Published training data (opens in a new tab)

Data points and source documents are different measures, not parameter counts or context tokens. See the launch source for the source-pool figure.

Access & pricing

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

API model ID
Not collected

No public standalone model selector is established; document and task IDs are application identifiers.

Access
Commercial product access under an order form. Fees and document allowances are contractual; no standalone per-token model rate is published in the reviewed sources.
Regions
Customer AWS hosting location is set by order form. Additional Generative Model processing can differ; the current subprocessor page lists direct OpenAI processing in the United States.

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

Data & enterprise terms

Current Master Agreement v3.1 permits customer-specific Private Learning and product improvement; non-identifying Usage Insights may be retained without customer confidential or personal data. It also authorizes feature-dependent transfers to external model APIs. The subprocessor page distinguishes in-cloud processing from direct OpenAI processing in the US. Security measures describe deletion from primary stores within 30 days and backups within a further 30 days; contract retention and order-form provisions also apply. This is not universal zero retention or an inference-cache lifetime.

Read the service policy (opens in a new tab)

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.

Luminance platform

Not verified

No model-specific inference-cache contract. Application memory, precomputed legal data, saved searches and retention are distinct.

How it works
Not collected

No model-specific inference-cache contract. Application memory, precomputed legal data, saved searches and retention are distinct.

Minimum reusable input
Not collected

No model-specific inference-cache contract. Application memory, precomputed legal data, saved searches and retention are distinct.

Lifetime & refresh
Not collected

No model-specific inference-cache contract. Application memory, precomputed legal data, saved searches and retention are distinct.

How to enable it
Not collected

No model-specific inference-cache contract. Application memory, precomputed legal data, saved searches and retention are distinct.

Usage fields
Not collected

No model-specific inference-cache contract. Application memory, precomputed legal data, saved searches and retention are distinct.

Billing rules
Not collected

No model-specific inference-cache contract. Application memory, precomputed legal data, saved searches and retention are distinct.

Limits & data boundaries
Not collected

No model-specific inference-cache contract. Application memory, precomputed legal data, saved searches and retention are distinct.

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

Caching reviewed 16 Oct 2026

What the measurements say

No benchmark observations have been added for this model. We do not turn a vendor description into a performance score.

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

Provider explicitly owns the resulting specialist model and proprietary legal training, while acknowledging a general-purpose base that may be available to others. No public derivative weights or standalone selector are offered in the reviewed sources.

Classification evidence (opens in a new tab)

Sources reviewed