Using GLM Z1 Rumination 32B on Fireworks AI

Implementation guide · GLM-Z1 · Tsinghua Knowledge Engineering Group (THUDM)

ServerlessOpen Source

Fireworks AI exposes GLM Z1 Rumination 32B through model ID glm-z1-rumination-32b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-05-19. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Fireworks AI and generate an API key.
  2. 2
    Use the Fireworks AI SDK or REST API to call glm-z1-rumination-32b — see the documentation for request format.
  3. 3
    You'll be billed $0.90/1M input, $0.90/1M output tokens. See full pricing.
API PortalDocumentationPricingModel Card

Code Examples

Install
pip install openai
API key
FIREWORKS_API_KEY
Model ID
glm-z1-rumination-32b

Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
    base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
    model="glm-z1-rumination-32b",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Fireworks AI

TypePrice (per 1M)
Input tokens$0.90
Output tokens$0.90

Capabilities

Reasoning

About GLM Z1 Rumination 32B

GLM Z1 Rumination 32B is Tsinghua Knowledge Engineering Group (THUDM)'s GLM-Z1 model focused on step-by-step reasoning. It offers a 128K-token context window.

Full model details →

Model Specs

Released2025-01-01
Parameters32B
Context128k
ArchitectureDecoder Only

More Models on Fireworks AI

GLM-Z1 9BGLM Z1 32B
All models on Fireworks AI →

Provider

Fireworks AI

San Mateo, California, United States