What are Open Source LLMs for Japanese?
Open source LLMs for Japanese are large language models specifically optimized or trained to understand, generate, and reason in Japanese language alongside other languages. These models leverage deep learning architectures and multilingual training data to handle Japanese text with high accuracy. They support a wide range of applications from translation and content generation to complex reasoning and dialogue systems. By being open source, they foster collaboration, accelerate innovation in Japanese NLP, and democratize access to powerful language processing tools, enabling developers and businesses to build sophisticated Japanese-language AI applications without the constraints of proprietary systems.
Qwen3-235B-A22B
Qwen3-235B-A22B is the latest large language model in the Qwen series, featuring a Mixture-of-Experts (MoE) architecture with 235B total parameters and 22B activated parameters. This model supports seamless switching between thinking mode and non-thinking mode, demonstrates significantly enhanced reasoning capabilities, and supports over 100 languages and dialects with strong multilingual instruction following and translation capabilities, making it ideal for Japanese language tasks.
Qwen3-235B-A22B: Premium Multilingual Excellence for Japanese
Qwen3-235B-A22B is the latest large language model in the Qwen series, featuring a Mixture-of-Experts (MoE) architecture with 235B total parameters and 22B activated parameters. This model uniquely supports seamless switching between thinking mode (for complex logical reasoning, math, and coding) and non-thinking mode (for efficient, general-purpose dialogue). It demonstrates significantly enhanced reasoning capabilities, superior human preference alignment in creative writing, role-playing, and multi-turn dialogues. The model excels in agent capabilities for precise integration with external tools and supports over 100 languages and dialects with strong multilingual instruction following and translation capabilities, including exceptional Japanese language processing. With pricing from SiliconFlow at $1.42/M output tokens and $0.35/M input tokens, it offers enterprise-grade performance for Japanese applications.
Pros
- Supports over 100 languages including excellent Japanese capabilities.
- Dual-mode operation for both reasoning and efficient dialogue.
- 235B parameters with efficient 22B activation via MoE.
Cons
- Higher computational requirements due to model size.
- Premium pricing compared to smaller models.
Why We Love It
- It delivers state-of-the-art Japanese language understanding with exceptional multilingual capabilities, making it the top choice for sophisticated Japanese NLP applications requiring both reasoning and natural dialogue.
GLM-4.5
GLM-4.5 is a foundational model specifically designed for AI agent applications, built on a Mixture-of-Experts (MoE) architecture with 335B total parameters. It has been extensively optimized for tool use, web browsing, software development, and employs a hybrid reasoning approach. The model demonstrates strong multilingual capabilities, making it highly effective for Japanese language tasks.
GLM-4.5: Advanced AI Agent with Japanese Proficiency
GLM-4.5 is a foundational model specifically designed for AI agent applications, built on a Mixture-of-Experts (MoE) architecture with 335B total parameters. It has been extensively optimized for tool use, web browsing, software development, and front-end development, enabling seamless integration with coding agents such as Claude Code and Roo Code. GLM-4.5 employs a hybrid reasoning approach, allowing it to adapt effectively to a wide range of application scenarios—from complex reasoning tasks to everyday use cases. The model's strong multilingual foundation includes robust Japanese language support, making it ideal for building intelligent agents that interact in Japanese. With SiliconFlow pricing at $2.00/M output tokens and $0.50/M input tokens, it offers powerful capabilities for Japanese-focused AI applications.
Pros
- Optimized specifically for AI agent applications.
- Strong multilingual support including Japanese.
- Hybrid reasoning for diverse application scenarios.
Cons
- Higher cost for specialized agent capabilities.
- May be overkill for simple translation tasks.
Why We Love It
- It combines powerful Japanese language capabilities with advanced agent functionality, making it perfect for building sophisticated Japanese-language AI systems that can interact with tools and environments autonomously.
Qwen3-14B
Qwen3-14B is the latest large language model in the Qwen series with 14.8B parameters. This model supports seamless switching between thinking mode and non-thinking mode, demonstrates significantly enhanced reasoning capabilities, and supports over 100 languages and dialects with strong multilingual instruction following and translation capabilities, offering an excellent balance of performance and efficiency for Japanese applications.
Qwen3-14B: Cost-Effective Japanese Language Excellence
Qwen3-14B is the latest large language model in the Qwen series with 14.8B parameters. This model uniquely supports seamless switching between thinking mode (for complex logical reasoning, math, and coding) and non-thinking mode (for efficient, general-purpose dialogue). It demonstrates significantly enhanced reasoning capabilities, surpassing previous QwQ and Qwen2.5 instruct models in mathematics, code generation, and commonsense logical reasoning. The model excels in human preference alignment for creative writing, role-playing, and multi-turn dialogues. Additionally, it supports over 100 languages and dialects with strong multilingual instruction following and translation capabilities, including excellent Japanese language processing. With affordable SiliconFlow pricing at $0.28/M output tokens and $0.07/M input tokens, it's ideal for cost-conscious Japanese language applications.
Pros
- Excellent price-to-performance ratio for Japanese tasks.
- Supports over 100 languages with strong Japanese capabilities.
- Dual-mode operation for reasoning and dialogue.
Cons
- Smaller capacity than flagship models may limit complex tasks.
- Less suitable for extremely specialized Japanese domain knowledge.
Why We Love It
- It delivers exceptional Japanese language performance at an affordable price point, making advanced multilingual AI accessible to more developers and businesses working with Japanese content.
Best Open Source LLM for Japanese Comparison
In this table, we compare 2025's leading open source LLMs for Japanese language processing, each with unique strengths. For enterprise-grade multilingual excellence, Qwen3-235B-A22B offers the most comprehensive capabilities. For AI agent applications with Japanese support, GLM-4.5 provides powerful tool integration. For cost-effective deployment, Qwen3-14B delivers excellent performance at an accessible price point. This side-by-side view helps you choose the right model for your specific Japanese language AI needs.
| Number | Model | Developer | Subtype | Pricing (SiliconFlow) | Core Strength |
|---|---|---|---|---|---|
| 1 | Qwen3-235B-A22B | Qwen3 | Multilingual Reasoning | $1.42/$0.35 per M tokens | 100+ languages with premium Japanese support |
| 2 | GLM-4.5 | zai | Agent & Reasoning | $2.00/$0.50 per M tokens | AI agent capabilities with Japanese proficiency |
| 3 | Qwen3-14B | Qwen3 | Efficient Multilingual | $0.28/$0.07 per M tokens | Cost-effective Japanese language processing |
Frequently Asked Questions
Our top three picks for Japanese language processing in 2025 are Qwen3-235B-A22B, GLM-4.5, and Qwen3-14B. Each of these models stood out for their exceptional multilingual capabilities, strong Japanese language support, and unique approaches to solving challenges in Japanese text understanding, generation, and reasoning tasks.
Our in-depth analysis shows different leaders for different Japanese needs. Qwen3-235B-A22B is the top choice for complex Japanese reasoning, translation, and high-quality content generation requiring premium performance. GLM-4.5 is best for building Japanese-language AI agents that can interact with tools and environments. Qwen3-14B is ideal for cost-conscious applications, general Japanese dialogue, and content generation where efficiency matters. All three models support over 100 languages, enabling seamless multilingual applications.