GLM-Z1-32B-0414

reasoning

GLM-Z1-32B-0414 is a specialized reasoning model with deep thinking capabilities, developed based on GLM-4-32B-0414 through cold-start initialization and extended reinforcement learning. The model has been further fine-tuned on tasks involving mathematics, programming, and logic, significantly enhancing its ability to solve complex problems. It supports a context window of up to 32K tokens, which can be extended to 128K using YaRN technology.

During training, comprehensive reinforcement learning based on pairwise ranking feedback was implemented, strengthening the model’s overall capabilities. Compared to the base model, GLM-Z1-32B-0414 demonstrates substantial improvements in mathematical reasoning and complex problem-solving. The model is capable of step-by-step problem analysis with detailed justification at each stage of reasoning.

GLM-Z1-32B-0414 excels in academic research, scientific computing, and educational applications where step-by-step explanations are required. It performs exceptionally well in mathematical proofs, algorithm analysis, logical puzzles, and high-complexity programming tasks. Its ability to engage in structured thinking makes it an indispensable tool for developing educational materials.


Announce Date: 14.04.2025
Parameters: 32B
Context: 33K
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-Z1-32B-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-Z1-32B-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-Z1-32B-0414

Prices:
Name GPU Price, hour TPS Max Concurrency
teslaa2-6.32.128.240
32,768.0
pipeline
6 $1.66 1.823 Launch
teslaa10-4.16.128.240
32,768.0
tensor
4 $1.76 3.777 Launch
teslaa100-1.16.64.240
32,768.0
1 $2.38 22.74 5.026 Launch
rtx3090-4.16.64.240
32,768.0
tensor
4 $2.89 35.70 4.800 Launch
rtx4090-4.16.64.240
32,768.0
tensor
4 $3.61 4.688 Launch
h100-1.16.64.240
32,768.0
1 $3.83 4.992 Launch
h100nvl-1.16.96.240
32,768.0
1 $4.12 11.705 Launch
rtx5090-3.16.96.240
32,768.0
pipeline
3 $4.35 9.039 Launch
h200-1.16.128.240
32,768.0
1 $4.74 34.248 Launch
teslaa100-2.24.256.320.nvlink
32,768.0
tensor
2 $4.94 42.387 Launch
rtx5090-4.16.128.320
32,768.0
tensor
4 $5.76 12.319 Launch
h200-2.24.256.240.nvlink
32,768.0
tensor
2 $9.41 100.833 Launch

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