Last refreshed 2026-04-19. Next refresh: weekly.
Why use GLM-4.7 on Fireworks AI?
Fireworks AI offers GLM-4.7 with pay-as-you-go pricing at $0.60/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Compare GLM-4.7 across 4 providers to find the best fit for your use caseInput / 1M
$0.60
Output / 1M
$2.20
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-4-7Request 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-4-7",
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.
Compare GLM-4.7 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Fireworks AI | $0.60 | $2.20 |
| GCP Vertex AI | $0.60 | $2.20 |
| NVIDIA NIM | — | — |
| OpenRouter | $0.38 | $1.74 |
Pricing
| Type | Price (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.
FAQ
What does GLM-4.7 cost on Fireworks AI?
On Fireworks AI, GLM-4.7 costs $0.60 per 1M input tokens and $2.20 per 1M output tokens.
How does Fireworks AI compare to other GLM-4.7 providers?
GLM-4.7 is available from 4 providers. The cheapest input pricing is $0.38/1M tokens from OpenRouter.
Who created GLM-4.7?
GLM-4.7 was created by Tsinghua Knowledge Engineering Group (THUDM) as part of the GLM-4 model family.
Is GLM-4.7 open source?
GLM-4.7's open source status is unknown in the seed data.
Get Started
Model Specs
Released2025-01-01
ArchitectureDecoder Only