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 reducing compute overhead.
Providers #
Route requests across multiple providers. Copy a provider slug to set your preference.
$0.15
/ M tokens $0.5
/ M tokens Read:
0.03/ M tokens
Write:
-/ M tokens1M6.3s37.6tps
$0.15
/ M tokens $0.5
/ M tokens Read:
0.03/ M tokens
Write:
-/ M tokens1M1.96s69.9tps
$0.15
$0.075
/ M tokens
$0.5
$0.25
/ M tokens Read:
0.03
0.015/ M tokens
Write:
-/ M tokens1M5.64s23.6tps
Uptime #
24hours Direct request success rate on AI Gateway and per-provider.
Throughput #
24hours P50 throughput on live AI Gateway traffic, in tokens per second (TPS).
Latency #
24hours P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.
Activity #
Token volume and request traffic to this model over time.
Apps #
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for. View All
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