According to @claudeai on Twitter, Sonnet paired with an Opus advisor achieved a 2.7 percentage point higher score on SWE-bench Multilingual than Sonnet alone while reducing per-task cost by 11.9%. As reported by the Claude account post, this advisor-enhanced workflow indicates measurable quality gains and cost efficiency in multilingual software engineering benchmarks. For AI product teams, the data suggests a practical orchestration strategy: route primary reasoning to Sonnet and use Opus selectively for guidance to improve pass rates and lower run-time spending. According to the tweet, these results come from evals on SWE-bench Multilingual, highlighting a repeatable method for cost-aware performance optimization in LLM-based coding assistants.