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Model infoModelsSnapshot: 15 Oct 2026

Maritaca AI / Sabiá

Sabiá 65B

Original Portuguese continued-pretraining research model from 2023. Public weights and a current production endpoint for this exact artifact are unverified.

historicalClosed weightsText generation
Official documentation (opens in a new tab)Reviewed 14 Oct 2026
10 of 21 specification fields collected
Context windowNot collectedAwaiting source review
Maximum outputNot collectedAwaiting source review
Input billingNot collectedMaritaca original 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
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
February 2022 collection cutoff for the additional Portuguese corpusSource for Knowledge cutoff (opens in a new tab)

Does not assert an independently audited complete cutoff for the upstream model.

Release date
Not collected
Architecture
Decoder-only TransformerSource for Architecture (opens in a new tab)
Languages
PortugueseSource for Languages (opens in a new tab)

Documented specialization, not a claim that other languages are unsupported.

Context caching
Not collected

No prompt-cache contract verified for this exact historical revision.

Pretraining tokens
10.4B additional Portuguese tokensSource for Pretraining tokens (opens in a new tab)
trainingSequenceLength
2,048Source for trainingSequenceLength (opens in a new tab)

Training and few-shot evaluation sequence length, not a verified current serving limit.

Published training data
Filtered Portuguese ClueWeb22 subsetSource for Published training data (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.

Maritaca original research

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

No production API selector verified.

Access
Research identity verified. Current exact-model deployment terms are not established by the paper.
Regions
Not verified for this exact historical deployment.

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.

Maritaca original research

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

PoETa / Native Portuguese

Maritaca AI · vendor-reported
69.2normalized preferred metric

Original provider paper revision 2, Table 1. Few-shot evaluation on 14 datasets using a 2048-token evaluation context and manually chosen examples. NPM is not raw accuracy and not PoETa v2.

Evaluation source (opens in a new tab)

PoETa / Translated tasks

Maritaca AI · vendor-reported
69.6normalized preferred metric

Original provider paper revision 2, Table 1. Few-shot evaluation on 14 datasets using a 2048-token evaluation context and manually chosen examples. NPM is not raw accuracy and not PoETa v2.

Evaluation source (opens in a new tab)

PoETa / All tasks

Maritaca AI · vendor-reported
69.4normalized preferred metric

Original provider paper revision 2, Table 1. Few-shot evaluation on 14 datasets using a 2048-token evaluation context and manually chosen examples. NPM is not raw accuracy and not PoETa v2.

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

Named provider model without a matching public weight release in the reviewed official inventory. Classification for historical artifacts is inferred; a public tokenizer, public upstream base or licensed executable is not a public release of this derivative.

Classification evidence (opens in a new tab)

Lifecycle dates

Original research paper submitted16 Apr 2023Source (opens in a new tab)

Sources reviewed