90 days of the enterprise, pro and team plans free, no card needed. See the plans
Z.ai
z-ai/glm-4.5-airCatalogue: 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-4.5-air
GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter...
GLM 4.5 Air earns a request when it needs step-by-step reasoning, tool calls, running on your own hardware; a short, general request would go to Nemotron 3.5 Super VL (free) instead - free per million input tokens against $0.13 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 4.5 Air
targets:
- id: glm-4-5-air
kind: llm
name: GLM 4.5 Air
metadata:
model: z-ai/glm-4.5-air # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 131072
cost:
usd_per_1k_tokens: 0.000490Input list price per million tokens; GLM 4.5 Air is the 6th cheapest of 13 listed.
Photo: RDNE Stock project
Cached input reads $0.03 per 1M · weights on Hugging Face as zai-org/GLM-4.5-Air
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.