OpenClaw founder shares AI model adaptation rate rankings, with domestically produced minimax-m2.1 and kimi-k2.5 ranking 2nd and 3rd respectively.

Gate News reports that on March 8th, OpenClaw (an AI proxy development framework) founder Peter Steinberger shared third-party benchmark results from PinchBench, which evaluate the performance of AI large language models in OpenClaw proxy tasks. The results show that Gemini 3 Flash achieved a 95.1% success rate in OpenClaw tasks, ranking first. Domestic models minimax-m2.1 and kimi-k2.5 ranked second and third with 93.6% and 93.4%, respectively. Claude Sonnet 4.5 had a success rate of 92.7%, and GPT-4o scored 85.2%.

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