Models & credits
FiClaw models and credits
FiClaw routes cloud models through FiClawCloud and records model usage with credits. This page explains model choice, how credits are charged, and what the membership center shows.
Current models
Current cloud model directory
The model directory is maintained by FiClawCloud; the desktop app enables the model set after launch and login.
Claude
GPT
Gemini
DeepSeek
Other models
Credits
How credits are consumed
Credits are consumed per model call
FiClawCloud computes credit usage from actual input tokens, output tokens, the model rate and a minimum charge.
Different models have different rates
Lightweight models suit high-frequency everyday tasks; higher-capability models suit complex research, long-context analysis and high-quality reasoning.
The membership center shows the current basis
The desktop membership center shows balance, top-up history, usage history, model rate notes and typical per-round multipliers.
Pilots can confirm a budget boundary first
If a team has fixed scenarios, concurrent usage or budget requirements, book a demo first to confirm model choice and pilot scope.
Model choice
How to choose a model
Everyday tidying and light Q&A
Prefer fast, low-cost models for material organization, summaries, format conversion and low-risk assistance.
Research analysis and complex reasoning
Prefer higher-capability models for long-document analysis, strategy-logic derivation, review summaries and multi-step judgment.
Long-context material processing
When a task includes long reports, history or multi-turn context, a long-context model fits better.
Pilots and cost control
Set a model mix and credit budget around one high-value scenario, then expand to more roles and workflows.