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
There are no public endpoints for this model yet.

Private server

Rent your own physically dedicated instance with hourly or long-term monthly billing.

We recommend deploying private instances in the following scenarios:

  • maximize endpoint performance,
  • enable full context for long sequences,
  • ensure top-tier security for data processing in an isolated, dedicated environment,
  • use custom weights, such as fine-tuned models or LoRA adapters.

Recommended server configurations for hosting GLM-Z1-Rumination-32B-0414

Prices:
Name GPU Price, hour TPS Max Concurrency
teslaa10-3.16.96.160
131,072.0
pipeline
3 $1.34 1.207 Launch
teslaa10-4.12.48.160
131,072.0
tensor
4 $1.57 1.793 Launch
teslaa2-6.32.128.160
131,072.0
pipeline
6 $1.65 1.465 Launch
rtx3090-3.16.96.160
131,072.0
pipeline
3 $2.29 1.303 Launch
rtxa5000-4.16.128.160.nvlink
131,072.0
tensor
4 $2.34 1.793 Launch
teslaa100-1.16.64.160
131,072.0
1 $2.37 1.794 Launch
rtx4090-3.16.96.160
131,072.0
pipeline
3 $2.83 1.299 Launch
rtx3090-4.16.64.160
131,072.0
tensor
4 $2.89 1.921 Launch
rtx5090-2.16.64.160
131,072.0
tensor
2 $2.93 1.186 Launch
rtx4090-4.16.64.160
131,072.0
tensor
4 $3.60 1.916 Launch
h100-1.16.64.160
131,072.0
1 $3.83 1.792 Launch
h100nvl-1.16.96.160
131,072.0
1 $4.11 2.211 Launch
teslaa100-2.24.96.160.nvlink
131,072.0
tensor
2 $4.61 4.076 Launch
h200-1.16.128.160
131,072.0
1 $4.74 3.620 Launch
h200-2.24.256.160.nvlink
131,072.0
tensor
2 $9.40 7.729 Launch
Prices:
Name GPU Price, hour TPS Max Concurrency
teslaa10-4.16.64.160
131,072.0
tensor
4 $1.62 1.305 Launch
rtxa5000-4.16.128.160.nvlink
131,072.0
tensor
4 $2.34 1.305 Launch
teslaa100-1.16.64.160
131,072.0
1 $2.37 1.305 Launch
rtx3090-4.16.64.160
131,072.0
tensor
4 $2.89 1.433 Launch
rtx4090-4.16.64.160
131,072.0
tensor
4 $3.60 1.428 Launch
h100-1.16.64.160
131,072.0
1 $3.83 1.303 Launch
h100nvl-1.16.96.160
131,072.0
1 $4.11 1.723 Launch
rtx5090-3.16.96.160
131,072.0
pipeline
3 $4.34 1.503 Launch
teslaa100-2.24.96.160.nvlink
131,072.0
tensor
2 $4.61 3.587 Launch
h200-1.16.128.160
131,072.0
1 $4.74 3.132 Launch
rtx5090-4.16.128.160
131,072.0
tensor
4 $5.74 2.373 Launch
h200-2.24.256.160.nvlink
131,072.0
tensor
2 $9.40 7.240 Launch
Prices:
Name GPU Price, hour TPS Max Concurrency
dedicated-rtx3090-8.64.128.960-1
131,072.0
tensor
8 2.796 Launch
h200-1.16.128.240
131,072.0
1 $4.74 2.085 Launch
teslaa100-2.24.256.240
131,072.0
tensor
2 $4.93 2.541 Launch
teslaa100-2.24.256.320.nvlink
131,072.0
tensor
2 $4.94 2.541 Launch
rtx5090-4.16.128.320
131,072.0
tensor
4 $5.76 1.326 Launch
rtx4090-6.44.256.240
131,072.0
pipeline
6 $5.84 1.418 Launch
rtx4090-8.44.256.240
131,072.0
tensor
8 $7.52 2.786 Launch
h100-2.24.256.240
131,072.0
tensor
2 $7.85 2.536 Launch
h100nvl-2.24.192.240
131,072.0
tensor
2 $8.17 3.376 Launch
h200-2.24.256.240.nvlink
131,072.0
tensor
2 $9.41 6.193 Launch

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