PinchBench benchmarks OpenClaw agents on real tasks

Hot take: this is the kind of benchmark that is actually useful because it measures whether models can finish agent jobs, not just talk about them.

• –The benchmark covers 23 real OpenClaw tasks, which is much closer to production agent work than synthetic prompt tests. https://blog.kilo.ai/p/kiloclaw-hosted-openclaw
• –The mix of success rate, speed, and cost is exactly the tradeoff most teams care about when choosing a model.
• –The leaderboard is open source and reproducible, so the community can add tasks and rerun the same evals instead of trusting a black box.
• –The current field is competitive: GPT-5.4 is on top, but Qwen and Claude variants are close enough that budget and latency still matter. https://pinchbench.com/