Informed decision

Choose from the problem, not the model name.

Compare quality, cost, latency, privacy and operational capacity with the same criteria.

Use cases

Three frequent starting points.

PRODUCT

Analyze feedback

Prioritize quotes, sufficient context and processing of sensitive data.

Traceability DEVELOPMENT

Maintain a repository

It measures global understanding, tool use and automatic verification.

Code PRIVACY

Process documents locally

Adjusts memory, quantization and context to the available hardware.

Local AI

Criteria that change the decision

An aggregate score rarely tells the whole story.

QUALITY

Useful performance

Evaluate with your own tasks, relevant errors and repeatable conditions.

Evals OPERATION

Latency and reliability

Includes response times, limits, availability, and retries.

Production ECONOMY

Total cost

Tokens, tools, storage, review and maintenance.

TCO

Privacy and deployment

The architecture matters as much as the model.

CLOUD

Managed API

More capacity and less operation, with data policies to verify.

Supplier LOCAL

Inference on your computer

Environmental control in exchange for hardware and maintenance limits.

Privacy HYBRID

Sensitivity routing

Separate local, private and high-capacity tasks.

Architecture

Inferama Methodology

Date, primary source and missing data are part of every profile.

Identify the version

We do not mix trade names, aliases and snapshots.

Identity

Check the source

We prioritize documentation and dated official announcements.

Origin

Maintain limits

What is not published is shown as absent; it is not inferred.

Transparency