GLM-Z1-Rumination-32B-0414

GLM-Z1-Rumination-32B-0414

About GLM-Z1-Rumination-32B-0414

GLM-Z1-Rumination-32B-0414 is a deep reasoning model with rumination capabilities (benchmarked against OpenAI's Deep Research). Unlike typical deep thinking models, the rumination model employs longer periods of deep thought to solve more open-ended and complex problems (e.g., writing a comparative analysis of AI development in two cities and their future development plans). The rumination model integrates search tools during its deep thinking process to handle complex tasks and is trained by utilizing multiple rule-based rewards to guide and extend end-to-end reinforcement learning. Z1-Rumination shows significant improvements in research-style writing and complex retrieval tasks. The model supports a complete research cycle of “independently raising questions—searching for information—building analysis—completing tasks” and includes function calls like search, click, open, and finish by default, enabling it to better handle complex problems that require external information

Explore how DeepSeek-V3's advanced reasoning and coding capabilities translate into real-world applications.

Automated Code Generation & Debugging

Generate, optimize, and debug complex code snippets across various programming languages. The model's strong reasoning helps identify logical errors and suggest efficient solutions.

Use Case Example:

"A software engineer used DeepSeek-V3 to refactor a legacy Python module, resulting in a 40% reduction in code complexity and a 25% improvement in execution speed."

Scientific & Mathematical Research

Assist researchers by solving complex mathematical problems, formulating hypotheses, and analyzing data. Its ability to reason through abstract concepts makes it a powerful tool for scientific discovery.

Use Case Example:

"A physicist modeled a complex quantum mechanics problem, and the model provided a step-by-step derivation that led to a novel insight, which was later verified experimentally."

Intelligent Agent & Tool Integration

Build sophisticated AI agents that can understand user requests, select the appropriate tools (e.g., APIs, databases), and execute multi-step tasks autonomously.

Use Case Example:

"An automated travel assistant powered by DeepSeek-V3 booked a complete itinerary by interacting with flight, hotel, and car rental APIs based on a single natural language request from the user."

Advanced Conversational AI

Create highly engaging and context-aware chatbots, virtual assistants, or role-playing characters for gaming and entertainment. The model excels at maintaining coherent and natural-sounding dialogue.

Use Case Example:

"A gaming company implemented an NPC (Non-Player Character) using the model, which provided dynamic, unscripted interactions that significantly enhanced player immersion."

Metadata

Create on

Apr 18, 2025

License

MIT

Provider

Z.ai

Specification

State

Deprecated

Architecture

Calibrated

No

Mixture of Experts

No

Total Parameters

32B

Activated Parameters

Reasoning

No

Precision

FP8

Context length

33K

Max Tokens

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