LLM Perks

GLM 5.3 Flash Thinking

Z.ai (Zhipu AI) · All GLM models
Free right now Mid-size
ReasoningCodingTool useLong contextOpen weights

GLM 5.3 Flash Thinking is a language model from Z.ai (Zhipu AI). It is currently free at 1 provider with up to 1M tokens of context. The model supports step-by-step reasoning, is suited to coding, supports tool calling. Its weights are open, so it can also run locally.

Developer
Z.ai (Zhipu AI)
Context
1M tokens
Type
Text
License
Open weights

Where to use GLM 5.3 Flash Thinking for free

Each row is a separate free endpoint with its own limits.

ProviderContextLimitCard
UnoRouter
glm-5.3-flash-thinking:free
1M No-card free models use shared capacity and per-model limits; availability can change. No Open

Quick start

curl https://api.unorouter.com/v1/chat/completions \
  -H "Authorization: Bearer $UNOROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.3-flash-thinking:free",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Example for UnoRouter. Any OpenAI-compatible client works: Cursor, Cline, OpenCode, Open WebUI.

Benchmarks

Intelligence Index
41.8
GPQA Diamond
91.2%
Humanity's Last Exam
39.9%
Long context (LCR)
80.0%

Source: Artificial Analysis · GLM 5.3 Flash

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FAQ

Is GLM 5.3 Flash Thinking free?

Yes. As of November 2, 2026, GLM 5.3 Flash Thinking is free at UnoRouter. Each provider has its own limits — see the table above.

What is the context window of GLM 5.3 Flash Thinking?

The largest context among free routes is 1,000,000 tokens. Some providers cap it lower.

How do I call GLM 5.3 Flash Thinking via API?

Use any OpenAI-compatible client with base URL https://api.unorouter.com/v1, model ID glm-5.3-flash-thinking:free, and a UnoRouter key.

How good is GLM 5.3 Flash Thinking?

Artificial Analysis Intelligence Index: 41.8, GPQA Diamond: 91%. For comparison, the strongest free model in the catalog right now is GLM 5.3 Flash.

Is GLM 5.3 Flash Thinking open-weight?

Yes, the weights are published — you can download and run it locally, for example with Ollama or LM Studio.