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Model infoModelsSnapshot: 15 Oct 2026

WideLabs / Amazônia IA

Harpia 1

Multimodal text, image and video understanding model for documents, visual reasoning and spatial grounding. Available through licensed private deployment.

restrictedClosed weightsGeneral purposeText generationDocument understandingOCR
Official documentation (opens in a new tab)Reviewed 14 Oct 2026
16 of 27 specification fields collected
Context window128KSee specification notes below
Maximum outputNot collectedAwaiting source review
Input billingSee billing notesWideLabs on Oracle Cloud Infrastructure
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
128KSource for Context / input limit (opens in a new tab)

Provider uses the label 128K without an exact integer definition; retained verbatim. Shared context, not an independent input-token maximum.

Maximum input tokens
Not collected
Maximum output
Not collected
Input modalities
Text, Image, VideoSource for Input modalities (opens in a new tab)
Reasoning
Not collected

Visual and mathematical reasoning are described as capabilities; a distinct reasoning mode and its billing remain unverified.

Tool calling
Not collected

Visual-agent interaction is described, but an API function/tool calling protocol is not documented for this model.

Structured output
Not collected

JSON coordinates and formatted answers do not establish strict JSON-schema-constrained output.

Streaming
Not collected
Batch processing
Not collected
Fine-tuning
SupportedSource for Fine-tuning (opens in a new tab)

Provider-delivered fine-tuning service; contact WideLabs. No self-service fine-tuning endpoint verified.

Knowledge cutoff
Not collected
Release date
Not collected
Parameters
Not collected
Architecture
Language model plus Vision Transformer (ViT)Source for Architecture (opens in a new tab)
Languages
Multilingual, dozens of languagesSource for Languages (opens in a new tab)

No exhaustive language list or per-language quality guarantee supplied.

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
Bring your own license; contact WideLabs for license and infrastructure costsSource for Published price (opens in a new tab)

No numeric inference tariff is published on this listing.

Provider version
harpia-1Source for Provider version (opens in a new tab)

Version printed in the technical sheet, not a verified API request selector or release date.

Recommended vision context
32K tokensSource for Recommended vision context (opens in a new tab)

Recommended maximum for vision-language workloads, distinct from the advertised 128K context window.

Image resolution handling
Native image resolutionsSource for Image resolution handling (opens in a new tab)

No numeric pixel or image-count ceiling published in the reviewed sheet.

Deployment hardware
4 × NVIDIA H100 80GBSource for Deployment hardware (opens in a new tab)

Published deployment configuration, not a parameter-count estimate or a guarantee for all context lengths.

API compatibility
OpenAI-compatible APISource for API compatibility (opens in a new tab)

Compatibility does not prove every OpenAI endpoint, feature or schema is supported.

Quantization and compression
Provider offers quantized deployment options, including 4 × L40S or 4 × H100 examplesSource for Quantization and compression (opens in a new tab)

These deployment options are not separately identified model releases.

Visual grounding
Bounding boxes or points, with JSON coordinatesSource for Visual grounding (opens in a new tab)
Long-video understanding
Provider describes analysis of videos longer than one hourSource for Long-video understanding (opens in a new tab)

A capability claim, not an exact maximum video-duration allowance.

Access & pricing

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

WideLabs on Oracle Cloud Infrastructure

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
BYOL marketplace deployment. A WideLabs model license and separately provisioned infrastructure are required; no inference request was made.
Regions
Customer deployment; the marketplace listing does not establish a mandatory processing region.
API compatibility
OpenAI-compatible API served with vLLMSource for API compatibility (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.

WideLabs on Oracle Cloud Infrastructure

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

IFEval

WideLabs · vendor-reported
85.8reported score

Provider technical-sheet score. Dataset versions, splits, prompts, shot counts and evaluation dates are not supplied; the published numeric scale is preserved without treating it as independently reproduced accuracy. Scores from other providers may not be directly comparable.

Evaluation source (opens in a new tab)

HumanEval

WideLabs · vendor-reported
85.4reported score

Provider technical-sheet score. Dataset versions, splits, prompts, shot counts and evaluation dates are not supplied; the published numeric scale is preserved without treating it as independently reproduced accuracy. Scores from other providers may not be directly comparable.

Evaluation source (opens in a new tab)

MMLU-Pro

WideLabs · vendor-reported
70.6reported score

Provider technical-sheet score. Dataset versions, splits, prompts, shot counts and evaluation dates are not supplied; the published numeric scale is preserved without treating it as independently reproduced accuracy. Scores from other providers may not be directly comparable.

Evaluation source (opens in a new tab)

GSM8K

WideLabs · vendor-reported
91.6reported score

Provider technical-sheet score. Dataset versions, splits, prompts, shot counts and evaluation dates are not supplied; the published numeric scale is preserved without treating it as independently reproduced accuracy. Scores from other providers may not be directly comparable.

Evaluation source (opens in a new tab)

Math

WideLabs · vendor-reported
80.7reported score

Provider technical-sheet score. Dataset versions, splits, prompts, shot counts and evaluation dates are not supplied; the published numeric scale is preserved without treating it as independently reproduced accuracy. Scores from other providers may not be directly comparable.

Evaluation source (opens in a new tab)

GPQA

WideLabs · vendor-reported
47.4reported score

Provider technical-sheet score. Dataset versions, splits, prompts, shot counts and evaluation dates are not supplied; the published numeric scale is preserved without treating it as independently reproduced accuracy. Scores from other providers may not be directly comparable.

Evaluation source (opens in a new tab)

InfoVQA

WideLabs · vendor-reported
84.9reported score

Provider technical-sheet score. Dataset versions, splits, prompts, shot counts and evaluation dates are not supplied; the published numeric scale is preserved without treating it as independently reproduced accuracy. Scores from other providers may not be directly comparable.

Evaluation source (opens in a new tab)

DocVQA

WideLabs · vendor-reported
94reported score

Provider technical-sheet score. Dataset versions, splits, prompts, shot counts and evaluation dates are not supplied; the published numeric scale is preserved without treating it as independently reproduced accuracy. Scores from other providers may not be directly comparable.

Evaluation source (opens in a new tab)

MMMU

WideLabs · vendor-reported
70reported score

Provider technical-sheet score. Dataset versions, splits, prompts, shot counts and evaluation dates are not supplied; the published numeric scale is preserved without treating it as independently reproduced accuracy. Scores from other providers may not be directly comparable.

Evaluation source (opens in a new tab)

MMMU-Pro

WideLabs · vendor-reported
50.2reported score

Provider technical-sheet score. Dataset versions, splits, prompts, shot counts and evaluation dates are not supplied; the published numeric scale is preserved without treating it as independently reproduced accuracy. Scores from other providers may not be directly comparable.

Evaluation source (opens in a new tab)

MathVision

WideLabs · vendor-reported
37.3reported score

Provider technical-sheet score. Dataset versions, splits, prompts, shot counts and evaluation dates are not supplied; the published numeric scale is preserved without treating it as independently reproduced accuracy. Scores from other providers may not be directly comparable.

Evaluation source (opens in a new tab)

MathVista

WideLabs · vendor-reported
72.2reported score

Provider technical-sheet score. Dataset versions, splits, prompts, shot counts and evaluation dates are not supplied; the published numeric scale is preserved without treating it as independently reproduced accuracy. Scores from other providers may not be directly comparable.

Evaluation source (opens in a new tab)

OCR-BenchV2

WideLabs · vendor-reported
60reported score

Provider technical-sheet score. Dataset versions, splits, prompts, shot counts and evaluation dates are not supplied; the published numeric scale is preserved without treating it as independently reproduced accuracy. Scores from other providers may not be directly comparable.

Evaluation source (opens in a new tab)

CC-OCR

WideLabs · vendor-reported
76.7reported score

Provider technical-sheet score. Dataset versions, splits, prompts, shot counts and evaluation dates are not supplied; the published numeric scale is preserved without treating it as independently reproduced accuracy. Scores from other providers may not be directly comparable.

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

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)

Sources reviewed