LLM Reference

GLM-4.7

Released
2025-01-01
Last refreshed
2026-06-15
Status
Researched 104d ago
Open sourceCommercial use: permittedRAGLong contextClassificationJSON / Tool use

GLM-4.7 is worth evaluating for rag, long context, and classification when its provider route and context window match the workload.

Use it for

  • Teams evaluating rag, long context, and classification
  • Workloads that can use a 128k context window
  • Buyers comparing 4 tracked provider routes

Do not use it for

  • Vision or document-understanding workloads
Specifications
Family
GLM-4
Released
2025-01-01
Context
128k
Parameters
358B (32B active)
Architecture
Decoder Only
Specialization
general
Openness
Open source
License
MITOSI-approvedCommercial use: permitted
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

Chinese AI research lab developing GLM language models.

Beijing, China
Founded 2019
Website
Pricing
Output / 1M
$1.74
Input / 1M
$0.380

Cheapest of 4 routes · OpenRouter

About

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

Top use-case fit

RAG

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Classification

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 4

Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
OpenRouter$0.380$1.74
Serverless
Fireworks AI$0.600$2.20
Serverless
GCP Vertex AI$0.600$2.20
Serverless
NVIDIA NIM--
ServerlessPartial

Available via routers & gateways(14)

Capabilities

Structured Outputs

Benchmark peer barsfor RAG

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.