Avatar Paulo Dias

Paulo Dias

Benchmarks & Performance Analyst

Paulo Dias is a specialist in language model evaluation and benchmarking. With a Computer Science degree from UNICAMP, he is responsible for SWEN.AI's technical rankings and comparisons — analyzing data from Chatbot Arena (LMArena), Artificial Analysis, SWE-bench, and other reference platforms to produce evaluations with methodological rigor.

His work consists of transforming complex metrics — such as MMLU accuracy rates, mathematical reasoning performance, and inference latency — into understandable analyses for managers, developers, and professionals who need to choose the right model for each use case.

Areas of Expertise

AI BenchmarksLLM EvaluationLMArenaArtificial AnalysisPerformance MetricsModel Reasoning

Editorial Commitment

  • Independent coverage — no editorial sponsorship or paid relationships with AI companies
  • Benchmark data sourced from primary public sources (LMArena, Artificial Analysis)
  • Transparent evaluation methodology — available at /benchmark/metodologia
  • Editorial and privacy policy available at /sobre

Editorial contact: contato@swen.ia.br