If you are hitting the daily usage limit on your credits often, you might want to consider the following methods that emphasize using credits efficiently.
- Consider splitting by model: Use lightweight models for less intensive tasks and only use heavyweight models for high-demand and rigorous tasks.
- Note that you can switch models within the same conversation. For example, you can start by selecting a lightweight model like GPT-5-mini for a minimal task, and then in the same conversation, switch to a heavyweight model such as Claude Opus for a more intensive task.
- Consider constraining your output: Instruct the model to respond with concise and structured responses. For example, you can ask the model: "Reply only with a yes or no, no explantation."
- Start a fresh conversation: When you no longer need context from conversation history, you can start a new conversation instead of continuing in the same thread. Long conversation history increases the context window cost on every subsequent message, and you can avoid this by starting a new conversation and context window.
