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Models / Z.ai

Z.aiAvailable on TokenCenter

GLM 5.3 (batch)

z-ai/glm-5.3:batch

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks.

Key facts

Input price
$0.45 / 1M tokens
Output price
$2.00 / 1M tokens
Context window
1M tokens
Max output
131K tokens
Accepts
Text
Returns
Text

Example: 1,000 requests with 1,000 input and 500 output tokens each would cost about $1.45 (1M input tokens × $0.45 + 0.5M output tokens × $2.00). Estimate your own usage.

Prices are the provider’s own per-token rates with zero markup, from our price list as of Oct 18, 2026. If a call has extra provider charges (images, audio, web search, cached prompts), you pay the reported cost.

Call it from your code

curl https://api.tokenctr.com/v1/chat/completions \
  -H "Authorization: Bearer $TOKENCENTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "z-ai/glm-5.3:batch", "messages": [{"role": "user", "content": "Hello!"}]}'

Works with any OpenAI-compatible SDK: set the base URL to https://api.tokenctr.com/v1. Quickstart

Benchmarks

Artificial Analysis

Intelligence index
44.8
Coding index
74.8
Agentic index
53.1

Design Arena

CategoryRankEloWin rate
Models: SVG8129156.7%
Agents: Slides (python-pptx)8125551.2%
Agents: HTML slides9118939.1%
Models: 3D13133359.5%
Models: Game dev13131552.5%
Models: Code14130754.2%
Models: UI components14131457%
Models: Websites15129854.1%
Agents: Mobile apps17119152.2%
Models: ASCII art20121347.2%
Models: Data visualization30126051.7%

Source: Artificial Analysis indexes and Design Arena results as published in OpenRouter’s model data, fetched Oct 15, 2026. Higher is better. Not measured by TokenCenter. See all rankings.

Supported request parameters

frequency_penaltyinclude_reasoninglogit_biasmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p