GLM 5.2 vs GLM 5.1

GLM 5.2 and GLM 5.1 side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.

Z.ai Text Generation

GLM 5.2 vs GLM 5.1 at a glance

GLM 5.2 and GLM 5.1 are both Z.ai models in the Text Generation category, available through the EmpirioLabs API.

Key differences

  • GLM 5.2 is the newer release (Jun 16, 2026); GLM 5.1 was released on Apr 7, 2026.
  • GLM 5.2 has the larger context window: 1M tokens, against 202.7K for GLM 5.1.
  • GLM 5.2 returns up to 131,072 output tokens per response, GLM 5.1 up to 128,000.
  • Capabilities listed only for GLM 5.2: web search.
  • Capabilities listed only for GLM 5.1: cache.

GLM 5.2 vs GLM 5.1: specs

SpecGLM 5.2GLM 5.1
Model IDglm-5-2glm-5-1
AuthorZ.aiZ.ai
ReleasedJun 16, 2026Apr 7, 2026
Context window1M tokens202.7K tokens
Max output131,072 tokens128,000 tokens
Input
Text
Text
Output
Text
Text
Structured outputJSON ModeJSON Mode
RegionSingaporeChina
Endpoints
POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/glm-5-2:generateContent
POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/glm-5-1:generateContent
Capabilities
reasoning function calling web search
reasoning function calling cache

GLM 5.2 vs GLM 5.1: API pricing

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

GLM 5.1 Save up to 41%glm-5-1
Type
Spec
Rate
Input
per 1M prompt tokens
$1.40 <=32K $0.825 $1.40 32K-200K $1.10
Output
per 1M generated tokens
$4.40 <=32K $3.301 $4.40 32K-200K $3.851
Implicit cache read
per 1M cached input tokens
$0.26 <=32K $0.165 $0.26 32K-200K $0.22
Web Search (Linkup)
per call when invoked
$0.013
Compare on the full pricing page

GLM 5.2 vs GLM 5.1: 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 5.2GLM 5.1
max_tokens1 to 131072 Default: 655361 to 128000
temperature0 to 1 Default: 10 to 1.99 Default: 1
top_p0.01 to 1 Default: 0.950 to 1 Default: 0.95
reasoning_effortnone, minimal, low, medium, high, xhigh, max Default: maxnone, low, medium, high, max Default: medium
enable_thinkingboolean Default: trueboolean Default: true
preserve_thinkingboolean Default: false-
do_sampleboolean Default: true-
tool_web_searchboolean Default: false-
search_recency_filteroneDay, oneWeek, oneMonth, oneYear, noLimit Default: noLimit-
count1 to 50 Default: 10-
search_domain_filterstring-
search_promptstring-
search_resultboolean Default: true-
tool_streamboolean Default: falseboolean Default: false
toolsarray Default: []array Default: []
tool_choiceobjectobject

How to call GLM 5.2 and GLM 5.1

GLM 5.2 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-5-2. Both models are called through the same endpoint. Set model to glm-5-2 or glm-5-1. 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-5-2",
    "messages": [
      {"role": "user", "content": "Write a haiku about the ocean."}
    ]
  }'

GLM 5.2 vs GLM 5.1: common questions

What is the difference between GLM 5.2 and GLM 5.1?

GLM 5.2 is the newer release (Jun 16, 2026); GLM 5.1 was released on Apr 7, 2026. GLM 5.2 has the larger context window: 1M tokens, against 202.7K for GLM 5.1. GLM 5.2 returns up to 131,072 output tokens per response, GLM 5.1 up to 128,000. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.

Which is newer, GLM 5.2 or GLM 5.1?

GLM 5.2 is the newer release (Jun 16, 2026); GLM 5.1 was released on Apr 7, 2026.

Which has the lower rate, GLM 5.2 or GLM 5.1?

The two models are priced on different units or tiers, so compare the live rate cards on this page. They always match what the API charges.

Can I switch between GLM 5.2 and GLM 5.1 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 5.2 and GLM 5.1 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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