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Z.ai
z-ai/glm-4.7Catalogue: Indexed in the reference catalogue; nothing on this deployment answers as this model yet.
Published by the vendor; the platform bills at the target's declared price.
Z.ai z-ai/glm-4.7
GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while...
GLM 4.7 earns a request when it needs step-by-step reasoning, tool calls, very long inputs; a short, general request would go to GLM 5.2 instead - $0.01 per million input tokens against $0.54 here; and the hardest requests, where the quality floor rules it out, to Claude Opus 5.5 (batch). Your rules decide the floor; the trace shows the comparison for every request.
Lower input price and an intelligence index within 5 points.
Nothing on this deployment answers as this model yet. Connect your own provider under Model providers, or add a target to your catalogue - the router picks it up without retraining.
# targets.yaml - declare a target that runs GLM 4.7
targets:
- id: glm-4-7
kind: llm
name: GLM 4.7
metadata:
model: z-ai/glm-4.7 # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 204800
cost:
usd_per_1k_tokens: 0.001260Input list price per million tokens; GLM 4.7 is the 9th cheapest of 13 listed.
Photo: RDNE Stock project
Cached input reads $0.10 per 1M · weights on Hugging Face as zai-org/GLM-4.7
A higher intelligence index, best first, with the price it comes at.
Other models by the same vendor in the catalogue.
The catalogue prints input and output prices and what three typical monthly workloads cost on each.