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Model infoModelsSnapshot: 15 Oct 2026

Huawei / Pangu / Pangu prediction

Pangu-Predict-Reg-TS-3.1.0

Managed Pangu model/workflow for numerical prediction.

availableClosed weightsPrediction
Official documentation (opens in a new tab)Reviewed 14 Oct 2026
5 of 18 specification fields collected
Context windowNot collectedAwaiting source review
Maximum outputNot collectedAwaiting source review
Input billingSee billing notesHuawei Cloud ModelArts Studio
Output billingSee billing notesAccess and billing notes below

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
Maximum output
Not collected
Output modalities
Numerical predictionsSource for Output modalities (opens in a new tab)
Reasoning
Not collected
Tool calling
Not collected
Structured output
Not collected
Streaming
Not collected
Batch processing
Not collected
Knowledge cutoff
Not collected
Release date
Not collected
Parameters
Not collected
Architecture
Not collected
Languages
Not collected
Context caching
Not collected
Published price
Provisioned inference resources; numeric rate not verifiedSource for Published price (opens in a new tab)

Inference resources use monthly/yearly unit subscriptions. Applicable model subscriptions and training/data resources are separate; an exempt model-subscription fee does not mean free inference.

Forecast horizon
Up to 128 future time pointsSource for Forecast horizon (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.

Huawei Cloud ModelArts Studio

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

Asset names identify catalogue versions. Callable model names and deployment IDs are assigned by the deployment; the asset name is not substituted for an API selector.

Access
Huawei Cloud account, applicable asset subscription and provisioned inference resources required. Some subscriptions require public-beta approval; account eligibility must be checked in the console.
Regions
China, Southwest Guiyang 1 and East Shanghai 1 (catalogue regions).
assetName
Pangu-Predict-Reg-TS-3.1.0Source for assetName (opens in a new tab)

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.

Huawei Cloud ModelArts Studio

Not verified
How it works
Not collected
Minimum reusable input
Not collected
Lifetime & refresh
Not collected
How to enable it
Not collected
Usage fields
Not collected
Billing rules
Not collected
Limits & data boundaries
Not collected

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

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

Inferred closed-weight classification for this exact named managed Pangu asset in the developer catalogue, reviewed against Huawei’s separately published OpenPangu releases. The reviewed release does not provide matching public weights. A shared Pangu brand, model-training service or downloadable customer adaptation does not establish public availability of this original asset.

Classification evidence (opens in a new tab)

Sources reviewed