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Harness benchmark
How well does the model solve real tasks?
Quality on real agent and chat tasks – the model must handle real tasks with tools and multiple steps. Scored by success rate and task points achieved.
🎯 Success rate🏆 Task points🔧 Tool use🧠 real tasks
| # | Model / Maker | Metrics | GPU / CPU / RAM | Runtime | ||
|---|---|---|---|---|---|---|
| 1 | MiniMax-M2.5230BMiniMax Harness benchmarkTool Usage V 1.0 | 1.079 Pkt 61,3% · 15/15 Aufg. · 457,0 s | NVIDIA GeForce RTX 5090AMD Ryzen 7 5800X3D 8-Core Processor · 63 GB RAM | openclaw_cli | Details → | |
| 2 | MiniMax-M2.5230BMiniMax Harness benchmarkTools Usage Mini 1.0 | 106 Pkt 53,0% · 2/2 Aufg. · 71,0 s | NVIDIA GeForce RTX 5090AMD Ryzen 7 5800X3D 8-Core Processor · 63 GB RAM | openclaw_cli | Details → | |
| 3 | MiniMax-M2.5230BMiniMax Harness benchmarkTools Usage Mini 1.0 | 10 Pkt 10,0% · 1/1 Aufg. · 65,0 s | NVIDIA GeForce RTX 5090AMD Ryzen 7 5800X3D 8-Core Processor · 63 GB RAM | openclaw_cli | Details → |

