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Z.ai
z-ai/glm-5.3-flashCatalogue: 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-5.3-flash
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...
GLM 5.3 Flash earns a request when it needs step-by-step reasoning, tool calls, very long inputs; a short, general request would go to GLM 5.3 Flash (batch) instead - $0.05 per million input tokens against $0.15 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.
A higher intelligence index, best first, with the price it comes at.
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 5.3 Flash
targets:
- id: glm-5-3-flash
kind: llm
name: GLM 5.3 Flash
metadata:
model: z-ai/glm-5.3-flash # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 1048576
cost:
usd_per_1k_tokens: 0.000325Input list price per million tokens; GLM 5.3 Flash 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-5.3-Flash
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.