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[ARTICLE · art-133419] src=zenmux.ai ↗ pub= topic=large-language-models verified=true sentiment=↑ positive

New Model Available: GLM 5.3 FlashX

Z.ai released GLM-5.3-FlashX, a native multimodal model that delivers inference speeds of up to 200 tokens/s, faster than GLM-5.3-Flash. The model uses a hybrid sparse and linear attention architecture to maintain accurate long-context behavior while reducing compute overhead, and is positioned for efficient coding and long-horizon agent tasks. Pricing on the AI Gateway starts at $0.375 per million tokens, with read costs of $0.075 per million tokens.

read1 min views1 publishedSep 18, 2026
New Model Available: GLM 5.3 FlashX
Image: Zenmux (auto-discovered)

GLM-5.3-FlashX is a faster and smoother version of GLM-5.3-Flash, delivering inference speeds of up to 200 tokens/s. GLM-5.3-FlashX 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.

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Providers #

Route requests across multiple providers. Copy a provider slug to set your preference.

$0.375

/ M tokens $1.25

/ M tokens Read:

0.075/ M tokens

Write:

-/ M tokens1M--

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.

Benchmarks #

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows

Metrics sourced fromArtificial Analysis

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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