Rivya AI Docs

Rivya Model Selection Guide

Compare Rivya chat, image, video, and audio models by task, input mode, references, credits, quality settings, and availability.

Use this model selection guide when the question is not "which brand do I recognize?" but "which Rivya model fits this task?"

Rivya's AI Models catalog is the inventory layer for chat, image, video, audio, and tool-shaped work. Use it to compare task fit, supported modes, references, credit shape, and availability before spending credits.

If you are choosing models for a developer integration, use API Models and the API Model Reference alongside the catalog. Only models marked as API-available include runnable Public API examples; unavailable and Studio-only models stay useful for planning but should not be called from Public API v1.

Model Questions This Page Answers

Use this page when you need to decide:

  • which Rivya AI model fits a chat, image, video, audio, or tool task
  • whether the task needs text-to-image, image-to-video, audio cleanup, or another supported mode
  • whether reference images, source video, uploaded audio, or saved history should guide the run
  • how credit hints, quality settings, resolution, and duration affect the first model choice

Start With The Job

Before comparing models, write the job in plain language.

Examples:

  • create a clean product photo
  • animate an existing product image
  • generate a short product demo video
  • create a voice-over for a launch teaser
  • clean background noise from an uploaded recording
  • reason through a math problem step by step
  • brainstorm and shape prompts in chat

The job determines which model fields matter. A model that is excellent for style exploration may be wrong for controlled product work.

Filter By Category

The model catalog groups work by broad category:

Category is only the first filter. It tells you the general medium, not the exact workflow.

Within the same category, models may differ by supported modes, reference inputs, quality settings, duration, speed, and credit behavior.

Check Modes Before Brands

Supported modes tell you what kind of task the model can actually run.

For example:

  • text-to-image is not the same as image-to-image
  • text-to-video is not the same as image-to-video
  • video-to-video is not the same as a simple prompt-to-video run
  • text-to-speech is not the same as audio cleanup
  • chat responses are not async generation tasks

If the mode does not match the job, brand familiarity will not help.

Check References Early

Reference support can change the whole decision.

Ask:

  • does the model accept references?
  • what kind of references can it accept?
  • how many files can it use?
  • does the task need product identity, composition, style, or audio source control?

If references are central, read References and Uploads in Rivya and Image References in Rivya before running.

Use Credit Hints

Credit hints help you plan before spending.

They are not always a single final price because models can differ by:

  • fixed generation cost
  • duration-based cost
  • quality or resolution setting
  • token-based chat usage
  • provider-specific usage behavior

Use credit hints to compare likely cost shape, then check settings before submitting the task.

For wallet behavior, read Credits & Billing in Rivya.

Choose By Stage

Different stages need different models.

A rough pattern:

  • explore cheaply when the direction is unknown
  • use stronger reference control when structure matters
  • increase quality when the direction already works
  • use video only when motion is the deliverable
  • use audio after the script or scene is clear

The best model for final polish is not always the best model for the first run.

When A Model Is Unavailable

Model availability can change because of provider access, routing, configuration, or workflow readiness.

When a model is unavailable or not suitable, choose a fallback by task:

  1. keep the same category if the medium is still right
  2. match the supported mode first
  3. match reference needs second
  4. compare credit and quality settings third
  5. only then compare style or provider preference

For more detail, read Model Availability in Rivya.

Model Selection Flow

Use this flow before spending credits:

  1. Define the output type: chat, image, video, audio, or tool.
  2. Decide whether references or uploads are required.
  3. Compare supported modes on AI Models or model detail pages.
  4. Check credit hints and settings.
  5. Run a narrow first run.
  6. Review the result before switching models.

Do not change models before you know whether the prompt, reference, setting, or model caused the issue.

Model Guides To Check Next

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