Swallow LLM: Promising Japanese Language Performance!

research #llm 📝 Blog|Analyzed: Feb 23, 2026 09:30•

Published: Feb 23, 2026 09:18

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1 min read

Analysis

This article explores the GPT-OSS-Swallow and Qwen3-Swallow Large Language Models (LLMs), focusing on their performance in Japanese. The author enthusiastically details the models' capabilities, highlighting their strengths in handling the nuances of the Japanese language.

Key Takeaways

•The models were evaluated primarily on their Japanese language capabilities.
•Different parameter sizes (8B, 20B, 30B) were tested.
•Tool calling performance was a key area of observation, with varying results.

Reference / Citation

View Original

"The author explores GPT-OSS-Swallow-20B-RL-v0.1, GPT-OSS-Swallow-20B-SFT-v0.1, Qwen3-Swallow-8B-RL-v0.2, Qwen3-Swallow-8B-SFT-v0.2, Qwen3-Swallow-30B-A3B-RL-v0.2 and Qwen3-Swallow-30B-A3B-SFT-v0.2."

Qiita AIFeb 23, 2026 09:18

* Cited for critical analysis under Article 32.

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