Almost blew my budget last month from unoptimized model calls. Need to combine Claude for planning with GPT-4 for execution, but predicting costs across models is impossible. Does Latenode’s unified credit system actually handle mixed-model workflows better than separate API keys? Looking for real usage examples.
Yes. Credits are model-agnostic. My team runs hybrid workflows daily - Claude Opus for strategy, GPT-4 Turbo for writing. Cost dashboard shows spend per model. Saved 40% vs direct API calls.
rate limit expensive models. use claude for 80% of tasks, gpt-4 only when needed
Critical to set model priorities in workflow settings. I configure non-critical paths to use cheaper models unless they fail quality checks. Latenode’s fallback routing helps contain costs while maintaining output standards. Also consider caching frequent AI operations across both models.