Amux AI

Z.ai: GLM 5.3 Flash

Active

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.

By:
Z.ai
Input:
Output:
Context length:
1M
Max output:
128K
Published:
2026-08-26
toolsreasoningstructuredOutputstreamingvisioncaching

Providers

Same model, different providers. Automatic routing spreads requests across healthy providers by default, or ranks them by price, latency and more.

Provider
70% offLowestamux-special$0.15$0.045/1M tokens$0.5$0.15/1M tokens
Read$0.03$0.009/1M tokensWrite—
1M—11.1s984.97 tps
35% offtencent-cloud$0.15$0.0975/1M tokens$0.5$0.325/1M tokens
Read$0.03$0.0195/1M tokensWrite—
1M—5.8s82.67 tps

Availability

24 hours · 11/01–11/02

Success rate of requests sent by the Amux AI gateway to each provider. Client errors are excluded.

Tok/s

24 hours · 11/01–11/02

Average output speed of streaming requests, in tokens per second (TPS).

TTFT

24 hours · 11/01–11/02

Average time to first token (TTFT) of streaming requests, measured from request dispatch to the first token received.

Activity

24 hours · 11/01–11/02

Relative request activity over time, broken down by serving provider. Indexed to the peak within the selected range (= 100); reflects trends and provider share, not absolute volume.

Related models

More models from Z.ai

Z.ai: GLM 5.3 FlashX1M contextfrom $0.1125 / M tokens2 providersZ.AI: GLM 5.3 FlashX is a faster, smoother version of GLM-5.3-Flash with inference speeds up to 200 tokens/s. Z.AI: GLM 5.3 FlashX is Z.ai’s native multi-modal model, suitable for efficient programming and long-range agent tasks. Its hybrid sparse and linear attention architecture reduces computational overhead while maintaining accurate long-context performance.
Z.ai: GLM 5.31M contextfrom $0.42 / M tokens3 providersGLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves on GLM-5.2 in coding and in the balance between performance and token efficiency.
Z.ai: GLM 5.21M contextfrom $0.42 / M tokens3 providersGLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering, and complex multi-step automation.