OpenClaw stack crowns M2.7 default

This reads less like a model leaderboard and more like a routing policy: use the cheapest model that stays on task, then escalate only when the workflow gets brittle.

• –MiniMax M2.7 is the practical default because repeated agent calls make cost and consistency matter more than raw peak scores
• –GLM-5.1 earns the premium lane for strict tool calling, shell-heavy work, and messy multi-step engineering chains
• –Kimi K2.5 is the long-context escape hatch for manuals, codebases, and document-shaped workloads
• –The strongest advice here is operational, not benchmark-driven: template recurring prompts, skip trivial Q&A through agents, and route only the hard cases upward
• –For OpenClaw-style automation, stability under long chains is the real KPI; benchmark wins only matter if the model can keep its grip across dozens of turns