GLM-4.7
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
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.
GLM-4.7 is an open-source model in the GLM-4 family. The structured metadata tracks a 128k-token context window and structured outputs. This page tracks provider routes through Fireworks AI, GCP Vertex AI, NVIDIA NIM, and 1 more, with the cheapest tracked route listed at $0.38 input and $1.74 output per 1M tokens. No headline benchmark score is tracked for GLM-4.7 yet.
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 4Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| OpenRouter | $0.380 | $1.74 | Serverless |
| Fireworks AI | $0.600 | $2.20 | Serverless |
| GCP Vertex AI | $0.600 | $2.20 | Serverless |
| NVIDIA NIM | - | - | ServerlessPartial |
Capabilities
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.
Rankings & picks(9)
Cheapest of 4 routes · OpenRouter