Sabi\'a-4 Technical Report

Thiago Laitz; Thales Sales Almeida; Hugo Abonizio; Roseval Malaquias Junior; Giovana Kerche Bonás; Marcos Piau; Celio Larcher; Ramon Pires; Rodrigo Nogueira

arXiv · 2603.10213

Sabi\'a-4 Technical Report

Thiago Laitz·Thales Sales Almeida·Hugo Abonizio·Roseval Malaquias Junior·Giovana Kerche Bonás·Marcos Piau·Celio Larcher·Ramon Pires·Rodrigo Nogueira

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Abstract

This technical report presents Sabi\'a-4 and Sabiazinho-4, a new generation of Portuguese language models with a focus on Brazilian Portuguese language. The models were developed through a four-stage training pipeline: continued pre-training on Portuguese and Brazilian legal corpora, long-context extension to 128K tokens, supervised fine-tuning on instruction data spanning chat, code, legal tasks, and function calling, and preference alignment. We evaluate the models on six benchmark categories: conversational capabilities in Brazilian Portuguese, knowledge of Brazilian legislation, long-context understanding, instruction following, standardized exams, and agentic capabilities including tool use and web navigation. Results show that Sabi\'a-4 and Sabiazinho-4 achieve a favorable cost-performance trade-off compared to other models, positioning them in the upper-left region of the pricing-accuracy chart. The models show improvements over previous generations in legal document drafting, multi-turn dialogue quality, and agentic task completion.

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Thiago Laitz, Thales Sales Almeida, Hugo Abonizio, Roseval Malaquias Junior, Giovana Kerche Bonás, Marcos Piau, Celio Larcher, Ramon Pires, Rodrigo Nogueira. 2026-03-10. Sabi\'a-4 Technical Report. https://arxiv.org/abs/2603.10213

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