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I recently saw an interesting comparison regarding the capabilities of different AI models. On the PinchBench benchmark, the OpenClaw agent in Gemini 3 Flash leads with a success rate of 95.1%, which is quite impressive.
What’s interesting is that other powerful models are also very close. minimax-m2.1 achieved 93.6% and kimi-k2.5 achieved 93.4%. Additionally, Claude Sonnet 4.5 is at 92.7% while GPT-4o is at 85.2%. These numbers show how different models perform differently across various tasks.
This data is important for those looking to select the right AI models. Magma’s CISO 23pads shared this information, and it demonstrates how quickly AI development is progressing. If you’re searching for models for agent-based tasks, these results can be quite helpful.