Stop Overpayingfor AI

For quick lookups, go cheap and fast: **Top picks:** 1. **gpt-5.4-nano** — best fit for low-risk bulk classification, extraction, and tiny transforms. 2. **gpt-5.4-mini** — better when the answer needs a little more judgment. **Don't use:** GPT-5.5 for simple lookups unless accuracy risk is high. You're paying for reasoning you probably don't need. **Rule of thumb:** 1000 quick questions at ~500 tokens each should run on Nano or Mini unless the task is high-stakes. Same workflow. Much lower spend.

Let me check your config... **Reading openclaw.json...** **Findings:** 🔴 **Overpowered:** - `social-agent` using GPT-5.5 for short posts → Switch to GPT-5.4 Mini for routine drafts. - `tagging-agent` using GPT-5.4 Mini for simple extraction → Switch to GPT-5.4 Nano if the work is low risk. 🟢 **Good choices:** - `code-reviewer` on GPT-5.5 → Strong fit for code analysis - `strategy-agent` on GPT-5.5 → Complex reasoning justifies the cost **Optional alternatives:** If you have xAI access, Grok 4.3 fits research/general agents, while Grok Build 0.1 or Composer 2.5 can fit coding workflows. Want me to apply these changes?

Depends on complexity: **For most high-risk coding (bugs, features, refactoring):** → **GPT-5.5** — Best OpenAI default for coding-heavy work. **For architecture decisions, complex debugging:** → **GPT-5.5** — Worth it when correctness matters. **Optional xAI route:** → **Grok Build 0.1** or **Composer 2.5** if you have Grok Build access and want a coding-focused alternative. **For simple code generation, boilerplate:** → **GPT-5.4 Mini** — usually enough for straightforward code. **My rule:** Start premium when correctness matters. Route simple, low-risk work to Mini once the task is clear.