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Model infoModelsSnapshot: 15 Oct 2026

WideLabs / Amazônia IA

Guará

Speech-to-text model developed for Brazilian Portuguese, including regional accents and expressions. The provider also describes multilingual support without a complete language list.

restrictedClosed weightsSpeech-to-text
Official documentation (opens in a new tab)Reviewed 14 Oct 2026
4 of 19 specification fields collected
Context windowNot collectedAwaiting source review
Maximum outputNot collectedAwaiting source review
Input billingNot collectedWideLabs speech deployment
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
Maximum input tokens
Not collected
Maximum output
Not collected
Reasoning
Not collected
Tool calling
Not collected
Structured output
Not collected
Streaming
Not collected
Batch processing
Not collected
Fine-tuning
Not collected
Knowledge cutoff
Not collected
Release date
Not collected
Parameters
Not collected
Architecture
Not collected
Languages
Portuguese (Brazil)Source for Languages (opens in a new tab)

Documented focus, not the complete supported-language inventory.

Context caching
Not collected

No model-specific prompt-cache contract, minimum prefix, retention period or cached-input price verified. Private vLLM deployment does not establish a managed caching feature.

Published price
Not collected

No numeric model-specific API or private deployment price verified. A free web chat or a BYOL marketplace listing is not free inference.

Language coverage
Multilingual; complete supported-language list not published in the reviewed sourcesSource for Language coverage (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.

WideLabs speech deployment

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

Display names, marketplace image versions and document revision labels are not verified API model selectors.

Access
Contact WideLabs for speech-model access and deployment terms. No public API selector or per-minute rate verified.
Regions
Deployment-specific; no Guará-specific processing region guarantee verified.

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.

WideLabs speech deployment

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.

Caching reviewed 14 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

WideLabs calls this a proprietary model family. Its model license covers weights and parameters and restricts redistribution, sublicensing and reverse engineering; licensed customer deployments do not constitute a public weight release.

Classification evidence (opens in a new tab)

Lifecycle dates

Presented as part of the Amazônia model family8 Jul 2025Source (opens in a new tab)

Sources reviewed