AI coding tools benchmark

PinchBench tested AI models on OpenClaw tasks. Gemini 3 Flash led with 95.1% success rate, Claude Sonnet 4.5 at 92.7%, GPT-4o at 85.2%.

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Some people asked why @ClawdPad_ updates are currently posted from the developer account. ClawdPad is still in early development, and the dev account is being used to share progress, experiments, and updates in real time. As the project grows, updates will transition fully to the official @clawdpad_ account. Building in public 🦀🟦 @base #AIAgents #OpenClaw #Base #Claude #USDC

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After this round of in-depth testing with @openclaw, Jelly’s小龙虾 AI team has already achieved independent operation and content production—but it’s burning over $100 in tokens daily, totaling $3,000 per month, using only the Claude Sonnet 4.6 model. We plan to upgrade to Opus 4.6 later, which costs 2–3 times more, pushing our monthly expenses to at least $10,000. To develop more useful Skills like “DumpDetective” and successfully deploy them as free tools for our fans, we’re running an experiment: the小龙虾 team is officially opening up for PR gigs—without any interference from me. The AI will analyze, accept, and earn tokens on its own. Of course, we won’t take every project. Each one undergoes a full due diligence process: on-chain data, sentiment analysis, and smart contract audits. Only projects that pass are accepted; problematic ones are rejected outright. For every PR job小龙虾 takes, I’ll publicly disclose it along with the full analysis report—transparently. If a project still manages to deceive小龙虾, remember to reach out to @openclaw 🦞 for recourse. “Can an AI team sustain itself by earning tokens through PR work—and use those earnings to build free tools for fans?”—Do you think this闭环 (closed loop) can work? 🫡

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