Using GLM-4.7 on Fireworks AI

Implementation guide · GLM-4 · Zhipu AI

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Fireworks AI exposes GLM-4.7 through model ID glm-4-7. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-15. 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-4-7 — see the documentation for request format.
  3. 3
    You'll be billed $0.60/1M input, $2.20/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
FIREWORKS_API_KEY
Model ID
glm-4-7

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-4-7",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Fireworks AI

TypePrice (per 1M)
Input tokens$0.60
Output tokens$2.20

Capabilities

Structured Outputs

About GLM-4.7

GLM-4.7 is a language model from Zhipu AI in the GLM-4 family, available via the Fireworks AI platform.

Model Specs

Released2025-01-01
Parameters358B (32B active)
Context128k
ArchitectureDecoder Only

Provider

Fireworks AI

San Mateo, California, United States