Stanford DeLM Beats Claude Code Accuracy by 17.5 Percentage Points

Stanford researchers released an updated version of DeLM, a decentralized framework for AI agents that outperforms Codex and Claude Code on several benchmarks. Utilizing GPT-6-Astra and Claude Opus 5.5, the system improved accuracy by up to 17.5 percentage points over the strongest baseline.