GLM-Z1-Rumination-32B-0414

reasoning

GLM-Z1-Rumination-32B-0414 is a specialized deep reasoning model from the GLM-4 family, featuring 32 billion parameters and designed to perform complex research and analytical tasks. Unlike standard deep-thinking models, the Rumination version is capable of extended deliberation, enabling it to effectively tackle comprehensive tasks such as writing comparative analytical reviews or developing strategic development plans.

The model was trained using scalable end-to-end reinforcement learning, where responses were evaluated against reference solutions or specialized rubrics. During the reasoning process, GLM-Z1-Rumination-32B-0414 can utilize external search tools to locate and analyze information, significantly expanding its capabilities. The training process placed particular emphasis on developing skills in academic writing, generating complex reports, and producing analytical content. As a result, the model demonstrates significant progress in tasks requiring logical analysis, information structuring, justification of conclusions, and generating texts in the style of scientific publications and analytical reviews.

GLM-Z1-Rumination-32B-0414 supports context lengths of up to 128K tokens, making it especially effective for tasks involving the analysis of large data volumes, writing long-form texts, and conducting in-depth research.


Announce Date: 14.04.2025
Parameters: 32B
Context: 132K
Layers: 61
Attention Type: Full Attention
Developer: Z.ai
Transformers Version: 4.52.0.dev0
License: Apache 2.0

Public endpoint

Use our pre-built public endpoints for free to test inference and explore GLM-Z1-Rumination-32B-0414 capabilities. You can obtain an API access token on the token management page after registration and verification.
Model Name Context Type GPU Status Link

API access to GLM-Z1-Rumination-32B-0414 endpoints

There are no public endpoints for this model yet.

Private endpoint

An endpoint is a server with pre-installed software that automatically downloads neural network weights and launches an OpenAI-compatible API to handle incoming requests.

A private endpoint is created within the user's project, belongs exclusively to the user, and is billed per server configuration in accordance with the infrastructure pricing.

We recommend creating private endpoints when you need to:

  • achieve maximum endpoint performance,
  • access the full context window for processing large requests and conversations,
  • ensure maximum security by processing data in a dedicated, isolated environment.

Recommended server configurations for creating a private inference endpoint GLM-Z1-Rumination-32B-0414

Prices:
Name GPU Price, hour TPS Max Concurrency
h200-1.16.128.240
131,072.0
1 $4.74 2.126 Launch
teslaa100-2.24.256.240
131,072.0
tensor
2 $4.93 37.09 2.628 Launch
teslaa100-2.24.256.320.nvlink
131,072.0
tensor
2 $4.94 2.628 Launch
rtx5090-4.16.128.320
131,072.0
tensor
4 $5.76 1.505 Launch
rtx4090-6.44.256.240
131,072.0
pipeline
6 $5.84 1.560 Launch
dedicated-rtx3090-8.64.128.960-1
131,072.0
tensor
8 $6.04 3.158 Launch
rtx4090-8.44.256.240
131,072.0
tensor
8 $7.52 3.148 Launch
h100-2.24.256.240
131,072.0
tensor
2 $7.85 2.623 Launch
h100nvl-2.24.192.240
131,072.0
tensor
2 $8.17 3.422 Launch
h200-2.24.256.240.nvlink
131,072.0
tensor
2 $9.41 6.280 Launch

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Need help?

Contact our dedicated neural networks support team at support@immers.cloud or send your request to the sales department at sale@immers.cloud.

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