That model picker in your OpenClaw config? It determines cost per completed job, how reliably your agent follows SOUL.md instructions, and whether a large PR diff fits in one pass or gets chunked into lossy fragments.

Three flagship models compete for the spot: Gemini 3.1 Pro, GPT-5.5, and Claude Opus 4.7. One model gets my default recommendation. The other two earn it for specific use cases.

TL;DR

Best default: Gemini 3.1 Pro. Fits the workload shape of most OpenClaw deployments: large-context code review, lowest cost per job, free dev tier, native multimodal.

Best for autonomous agents: GPT-5.5. Leads reported agentic benchmarks such as Terminal-Bench 2.0, if your context stays under 128K tokens per call.

Best for strict code review: Claude Opus 4.7.…