• English
  • Choosing a Model

    Available models and prices are always as shown live in the model plaza — the docs do not maintain a list. This page teaches you how to choose: first how to read the plaza, then which class of model fits which task.

    How to read the model plaza

    Each group card carries the information that matters when creating a key:

    Card infoMeaningEffect
    Group multiplierFactor applied to base pricesDisplayed prices already include it — what you see is final
    Pool notesSelf-hosted pool / official relay and similar labelsSignal for stability and behaviour
    Client restrictionsWhether the group is limited to specific clientsWrong client against a restricted group returns 403
    Data policyWhether marked "data sharing disabled"Marked groups do not store conversation data
    AvailabilityRecent request success rateCurrent health signal

    Each model card shows the model ID and context-tier prices (base tier / extended tier); "View detailed pricing" opens the full table including Fast Mode prices.

    Think in tiers

    Model families typically come in three tiers, and a card's description and pricing make its position obvious:

    TierTraitsBest for
    Flagship deep reasoningHighest unit price, thorough thinking, large context ceilingComplex coding, long agent runs, whole-repo analysis
    Balanced workhorseThe quality-cost sweet spotEveryday coding, long-form writing, general chat — start here by default
    Light and fastLowest unit price, quick responsesBulk summarising, classification, extraction, intent detection

    Rules of thumb:

    • Get it working first, then tune the tier: start balanced, move up when quality falls short, move down when volume grows;
    • Flagship and light tiers can differ by one to two orders of magnitude in unit price — bulk jobs on the wrong tier are the most common waste;
    • Reasoning strength on thinking models is tunable via reasoning_effort, see Advanced API Usage.

    By task

    Your taskSuggested tierWhy
    Coding agents (Claude Code / Codex)Flagship (budget allowing) or balancedMulti-turn tool use rewards reasoning quality
    Whole-repo analysis, very long documentsFlagship + long contextExtended-tier pricing is higher, see Billing
    Support bots, everyday chatBalancedThe quality-cost sweet spot
    Bulk summarising / labelling / extractionLightLowest unit price, highest throughput
    Text-to-imageImage modelsDesktop via Cherry Studio, mobile via RikkaHub

    Anthropic-protocol clients (such as Claude Code) should connect through an Anthropic-format group — see which format to use; live listings per format follow the model plaza.

    Three things to check before switching models

    1. Context needs: long sessions crossing into the extended tier raise the unit price — not every task needs long context;
    2. Format match: models belong to groups and groups bind protocol formats; switching client protocol means switching groups (or use a composite key to hang several groups off one key);
    3. Verify before scaling: trial a new model on low traffic and check quality and cost in the usage logs before going all-in.
    © 2026 ByteSeek Limited. All rights reserved.TermsPrivacyDisclaimer