GLM Z1 Rumination 32B on Fireworks AI
GLM-Z1 · Tsinghua Knowledge Engineering Group (THUDM)
Serverless
Last refreshed 2026-04-18. Next refresh: weekly.
Why use GLM Z1 Rumination 32B on Fireworks AI?
Fireworks AI offers GLM Z1 Rumination 32B with pay-as-you-go pricing at $0.90/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Input / 1M
$0.90
Output / 1M
$0.90
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export FIREWORKS_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],Model ID
glm-z1-rumination-32bRequest example
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)Gotchas
- 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".
- The examples expect FIREWORKS_API_KEY; rename it only if your application config maps the new variable.
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.90 |
| Output tokens | $0.90 |
Capabilities
Reasoning
FAQ
What does GLM Z1 Rumination 32B cost on Fireworks AI?
On Fireworks AI, GLM Z1 Rumination 32B costs $0.9 per 1M input tokens and $0.9 per 1M output tokens.
What is the context window for GLM Z1 Rumination 32B on Fireworks AI?
GLM Z1 Rumination 32B supports a 128,000 token context window on Fireworks AI.
Who created GLM Z1 Rumination 32B?
GLM Z1 Rumination 32B was created by Tsinghua Knowledge Engineering Group (THUDM) as part of the GLM-Z1 model family.
Is GLM Z1 Rumination 32B open source?
GLM Z1 Rumination 32B is not open source; the seed data lists it as proprietary.
Get Started
Model Specs
Released2025-01-01
Parameters32B
Context128K
ArchitectureDecoder Only