mlsanityData to 7 Oct 2026

Sabi'a-3 Technical Report

arXiv 2410.12049 ↗First posted 15 Oct 2024cs.CL cs.AIcited by 7

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Abstract (arXiv)

This report presents Sabi'a-3, our new flagship language model, and Sabiazinho-3, a more cost-effective sibling. The models were trained on a large brazilian-centric corpus. Evaluations across diverse professional and academic benchmarks show a strong performance on Portuguese and Brazil-related tasks. Sabi'a-3 shows large improvements in comparison to our previous best of model, Sabia-2 Medium, especially in reasoning-intensive tasks. Notably, Sabi'a-3's average performance matches frontier LLMs, while it is offered at a three to four times lower cost per token, reinforcing the benefits of domain specialization.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 7 of its 13 references that are in the map. First posted on arXiv 15 Oct 2024.

Builds on

7 of 13 references.

References · 7

  1. 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,393
  2. 2024Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phonecited by 1,883
  3. 2023Instruction-Following Evaluation for Large Language Modelscited by 1,143
  4. 2024Yi: Open Foundation Models by 01.AIcited by 706
  5. 2024CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challengescited by 278
  6. 2021QuALITY: Question Answering with Long Input Texts, Yes!cited by 204
  7. 2023Taken out of context: On measuring situational awareness in LLMscited by 131

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 6; 2026: 1.

7 papers.