llm jp 4 32b a3b thinking

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released May 202566K context≈ 49,152 words32b params

A Japanese-language focused model from llm-jp that incorporates a thinking or reasoning step before producing responses. With 32 billion total parameters but only 3 billion active at a time, it uses a sparse mixture-of-experts architecture that keeps inference costs lower than its full parameter count suggests. Its open-weight nature means it can be run locally and inspected freely.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Multilingual

Strong

Reasoning & Logic

llm jp 4 32b a3b thinking

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released May 202566K context≈ 49,152 words32b params

A Japanese-language focused model from llm-jp that incorporates a thinking or reasoning step before producing responses. With 32 billion total parameters but only 3 billion active at a time, it uses a sparse mixture-of-experts architecture that keeps inference costs lower than its full parameter count suggests. Its open-weight nature means it can be run locally and inspected freely.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Multilingual

Strong

Reasoning & Logic

Glossary

ArchitectureThe underlying structural design of a neural network that defines how data flows through layers and components.InferenceThe process of running a trained model to generate predictions or outputs from new inputs.Parameter CountThe total number of adjustable weights in a model; more parameters generally mean more capacity to learn, but also require more computing power.ParametersThe learned numerical values in a model — more parameters generally means more capacity but higher compute cost.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Reasoning StepAn explicit intermediate thinking phase where the model works through a problem before generating its final answer, improving accuracy on complex tasks.

Capabilities

Capabilities

Use Case Fit

Glossary