GLM 5.2 vs DeepSeek V4 Pro

GLM 5.2 and DeepSeek V4 Pro side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.

Z.ai DeepSeek Text Generation

GLM 5.2 vs DeepSeek V4 Pro at a glance

GLM 5.2 from Z.ai and DeepSeek V4 Pro from DeepSeek are both in the Text Generation category, available through the EmpirioLabs API.

Key differences

  • GLM 5.2 is the newer release (Jun 16, 2026); DeepSeek V4 Pro was released on Apr 24, 2026.
  • Both models have a context window of 1M tokens.
  • DeepSeek V4 Pro returns up to 393,216 output tokens per response, GLM 5.2 up to 131,072.
  • Capabilities listed only for GLM 5.2: web search.
  • GLM 5.2 lists the lower rate for Input (per 1M prompt tokens).
  • DeepSeek V4 Pro lists the lower rate for Output (per 1M generated tokens).

GLM 5.2 vs DeepSeek V4 Pro: specs

SpecGLM 5.2DeepSeek V4 Pro
Model IDglm-5-2deepseek-v4-pro
AuthorZ.aiDeepSeek
ReleasedJun 16, 2026Apr 24, 2026
Context window1M tokens1M tokens
Max output131,072 tokens393,216 tokens
Input
Text
Text
Output
Text
Text
Structured outputJSON ModeJSON Schema
RegionSingaporeGermany
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/deepseek-v4-pro:generateContent
Capabilities
reasoning function calling web search
reasoning function calling

GLM 5.2 vs DeepSeek V4 Pro: API pricing

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

GLM 5.2 vs DeepSeek V4 Pro: 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 5.2DeepSeek V4 Pro
max_tokens1 to 131072 Default: 655361 to 393216
temperature0 to 1 Default: 10 to 2 Default: 0.7
top_p0.01 to 1 Default: 0.950 to 1 Default: 0.9
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: false-
toolsarray Default: []-
tool_choiceobject-

How to call GLM 5.2 and DeepSeek V4 Pro

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 deepseek-v4-pro. 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 DeepSeek V4 Pro: tests and guides

Prompt tests and comparison runs that cover both models.

GLM 5.2 vs DeepSeek V4 Pro: common questions

What is the difference between GLM 5.2 and DeepSeek V4 Pro?

GLM 5.2 is the newer release (Jun 16, 2026); DeepSeek V4 Pro was released on Apr 24, 2026. Both models have a context window of 1M tokens. DeepSeek V4 Pro returns up to 393,216 output tokens per response, GLM 5.2 up to 131,072. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.

Which is newer, GLM 5.2 or DeepSeek V4 Pro?

GLM 5.2 is the newer release (Jun 16, 2026); DeepSeek V4 Pro was released on Apr 24, 2026.

Which has the lower rate, GLM 5.2 or DeepSeek V4 Pro?

GLM 5.2 lists the lower rate for Input (per 1M prompt tokens). DeepSeek V4 Pro lists the lower rate for 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 5.2 and DeepSeek V4 Pro 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 DeepSeek V4 Pro 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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