LLM Reference
Featherless

Using GLM 4.7 on Featherless

Implementation guide · GLM-4 · Zhipu AI

ServerlessOpen Source

Featherless exposes GLM 4.7 through model ID zai-org/GLM-4.7. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-09-24. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Featherless and generate an API key.
  2. 2
    Use the Featherless SDK or REST API to call zai-org/GLM-4.7 — see the documentation for request format.
  3. 3
    You'll be billed $0.55/1M input, $2.20/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
FEATHERLESS_API_KEY
Model ID
zai-org/GLM-4.7

Use exact Featherless catalog id in modelProvider.providerModelId (HF-style org/name). Not interchangeable with LLM Reference slugs.

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.featherless.ai/v1",
    api_key=os.environ["FEATHERLESS_API_KEY"],
)
response = client.chat.completions.create(
    model="zai-org/GLM-4.7",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Pricing on Featherless

TypePrice (per 1M)
Input tokens$0.55
Output tokens$2.20

Capabilities

JSON / Tool useStructured OutputsCode Execution

About GLM 4.7

GLM-4.7 is Z.ai's flagship text model featuring enhanced programming capabilities and deeper reasoning at 200K context, succeeding GLM-4.6.

Model Specs

Released2026-03-01
Parameters358B (32B active)
Context200k
ArchitectureDecoder Only

Provider

Featherless
Featherless