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GLM 5.3 vs GLM 5.2

GLM 5.3 and GLM 5.2 side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.

Z.ai Text Generation
Try GLM 5.3 Try GLM 5.2 View pricing

GLM 5.3 vs GLM 5.2 at a glance

GLM 5.3 and GLM 5.2 are both Z.ai models in the Text Generation category, available through the EmpirioLabs API.

Key differences

  • GLM 5.3 is the newer release (Aug 14, 2026); GLM 5.2 was released on Jun 16, 2026.
  • Both models have a context window of 1M tokens.
  • Both models list the same rate for Input (per 1M prompt tokens) and Output (per 1M generated tokens).

GLM 5.3 vs GLM 5.2: specs

SpecGLM 5.3GLM 5.2
Model IDglm-5-3glm-5-2
AuthorZ.aiZ.ai
ReleasedAug 14, 2026Jun 16, 2026
Context window1M tokens1M tokens
Max output131,072 tokens131,072 tokens
Input
Text
Text
Output
Text
Text
Structured outputJSON ModeJSON Mode
RegionSingaporeSingapore
Endpoints
POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/glm-5-3:generateContent
POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/glm-5-2:generateContent
Capabilities
reasoning function calling web search
reasoning function calling web search

GLM 5.3 vs GLM 5.2: API pricing

Live rates from the EmpirioLabs catalog for both models. Each rate card always matches what the API charges.

GLM 5.3 vs GLM 5.2: API parameters

Request parameters each model lists on EmpirioLabs, with the allowed values or range where one applies. A dash marks a parameter the model does not list.

ParameterGLM 5.3GLM 5.2
max_tokens1 to 131072 Default: 655361 to 131072 Default: 65536
temperature0 to 1 Default: 10 to 1 Default: 1
top_p0.01 to 1 Default: 0.950.01 to 1 Default: 0.95
reasoning_effortlow, high, max Default: maxnone, minimal, low, medium, high, xhigh, max Default: max
preserve_thinkingboolean Default: falseboolean Default: false
do_sampleboolean Default: trueboolean Default: true
tool_web_searchboolean Default: falseboolean Default: false
search_recency_filteroneDay, oneWeek, oneMonth, oneYear, noLimit Default: noLimitoneDay, oneWeek, oneMonth, oneYear, noLimit Default: noLimit
count1 to 50 Default: 101 to 50 Default: 10
search_domain_filterstringstring
search_promptstringstring
search_resultboolean Default: trueboolean Default: true
tool_streamboolean Default: falseboolean Default: false
toolsarray Default: []array Default: []
tool_choiceobjectobject
stoparrayarray
Full GLM 5.3 API reference Full GLM 5.2 API reference

How to call GLM 5.3 and GLM 5.2

GLM 5.3 serves the OpenAI-compatible Chat Completions API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 with your EmpirioLabs API key and use the model id glm-5-3. Both models are called through the same endpoint. Set model to glm-5-3 or glm-5-2. Get an API key from the EmpirioLabs dashboard.

cURL
curl https://api.empiriolabs.ai/v1/chat/completions \
  -H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5-3",
    "messages": [
      {"role": "user", "content": "Write a haiku about the ocean."}
    ]
  }'

GLM 5.3 vs GLM 5.2: common questions

What is the difference between GLM 5.3 and GLM 5.2?

GLM 5.3 is the newer release (Aug 14, 2026); GLM 5.2 was released on Jun 16, 2026. Both models have a context window of 1M tokens. Both models list the same rate for Input (per 1M prompt tokens) and Output (per 1M generated tokens). The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.

Which is newer, GLM 5.3 or GLM 5.2?

GLM 5.3 is the newer release (Aug 14, 2026); GLM 5.2 was released on Jun 16, 2026.

Which has the lower rate, GLM 5.3 or GLM 5.2?

Both models list the same rate for Input (per 1M prompt tokens) and Output (per 1M generated tokens). Both live rate cards are on this page and always match what the API charges.

Can I switch between GLM 5.3 and GLM 5.2 without rebuilding my integration?

Yes. Both models use POST /v1/chat/completions with the same EmpirioLabs API key, so most integrations switch by changing the model value. Check the parameters table on this page first if you rely on a model-specific parameter.

Can I try GLM 5.3 and GLM 5.2 in the browser before integrating?

Yes. Open each model in the EmpirioLabs playground and run the same prompt on both, with the parameters the API exposes.

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