Model facet · Pricing

GLM-5.3 API pricing

GLM-5.3 lists at $1.40 input and $4.40 output per 1M tokens on Z.ai and OpenRouter as of late August 2026 — roughly one tenth of the Claude Opus 4.8 list rate and a fraction above the open-weight flagship tier. The defensive position is reasoning depth at open-weight-adjacent pricing, not the cheapest flash-tier line item.

Published API pricing per 1M tokens

Source: each model's own OpenRouter listing, fetched late August 2026. Sorted cheapest first on blended cost at a 1:3 input/output ratio.

ModelInput $/1MOutput $/1MBlended $/1MContext (tokens)Providers on OpenRouter
DeepSeek V4 Pro 0813$0.25$0.75$0.3751,000,0003
Kimi K3$0.60$3.00$1.05262,1444
GLM-5.3$1.40$4.40$2.651,048,5764
Qwen3.8-Max$2.00$6.00$3.001,000,0001
Claude Opus 4.8$15.00$75.00$45.00200,0002

How blended cost is calculated

Blended cost assumes a 1:3 input/output token ratio (the workload pattern most API providers publish against). At 1:1 GLM-5.3 blends to $2.90 and Claude Opus 4.8 to $45.00 — the gap stays large in either direction.

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Anchors built on "cheapest" or "budget" claims

Any anchor built on "cheapest" or "budget" pointed at GLM-5.3 is a claim the table above disproves. DeepSeek V4 Pro 0813 is roughly 5.6× cheaper on input and 5.9× on output. The defensive position for GLM-5.3 is open-weight-adjacent reasoning depth with native multimodal input, not the cheapest line item.

Frequently asked questions

How much does GLM-5.3 cost per token?

$1.40 per 1M input tokens and $4.40 per 1M output tokens on the Z.ai / OpenRouter listing as of late August 2026. Blended at 1:3 input/output, $2.65 per 1M tokens.

Is GLM-5.3 the cheapest flagship-tier model?

No. DeepSeek V4 Pro 0813 is roughly 5.6× cheaper on input and 5.9× on output. GLM-5.3's position is open-weight-adjacent reasoning depth with native multimodal input — not the cheapest line item.

Where is the live GLM-5.3 model page?

The canonical model page with current OneInfer pricing, capabilities, and availability is /models/zai-org/GLM-5.3. This page is a focused facet of that entity, not a replacement for it.

How should I treat benchmark or price claims?

Check each claim’s provenance label and observed date. Vendor-reported and independently verified numbers are shown as separate evidence classes on this hub.

Put GLM-5.3 to work

Fund a controlled evaluation, start with a prepared prompt, and measure quality and cost on your own workload.