GLM 4.6V Flash vs GLM 4.6V FlashX

GLM 4.6V Flash and GLM 4.6V FlashX side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.

Z.ai Text Generation

GLM 4.6V Flash vs GLM 4.6V FlashX at a glance

GLM 4.6V Flash and GLM 4.6V FlashX are both Z.ai models in the Text Generation category, available through the EmpirioLabs API.

Key differences

  • Both models have a context window of 128K tokens.
  • Capabilities listed only for GLM 4.6V FlashX: cache.
  • Both models list the same rate for Web search (per request when enabled).

GLM 4.6V Flash vs GLM 4.6V FlashX: specs

SpecGLM 4.6V FlashGLM 4.6V FlashX
Model IDglm-4-6v-flashglm-4-6v-flashx
AuthorZ.aiZ.ai
ReleasedDec 8, 2025-
Context window128K tokens128K tokens
Max output32,768 tokens32,768 tokens
Input
Text Image Video File
Text Image Video File
Output
Text
Text
Structured outputJSON ModeJSON Mode
RegionSingaporeSingapore
Endpoints
POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/glm-4-6v-flash:generateContent
POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/glm-4-6v-flashx:generateContent
Capabilities
vision video understanding document understanding function calling web search reasoning
vision video understanding document understanding function calling web search reasoning cache

GLM 4.6V Flash vs GLM 4.6V FlashX: API pricing

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

GLM 4.6V Flash vs GLM 4.6V FlashX: 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 4.6V FlashGLM 4.6V FlashX
temperature0 to 1 Default: 10 to 1 Default: 1
top_p0.01 to 1 Default: 0.950.01 to 1 Default: 0.95
max_tokens1 to 32768 Default: 40961 to 32768 Default: 4096
stoparrayarray
do_sampleboolean Default: trueboolean Default: true
enable_thinkingboolean Default: trueboolean Default: true
thinkingobjectobject
toolsarrayarray
tool_choiceauto Default: autoauto Default: auto
tool_streamboolean Default: falseboolean Default: false
tool_web_searchboolean Default: falseboolean Default: false
search_resultboolean Default: trueboolean Default: true
search_promptstringstring
count1 to 50 Default: 101 to 50 Default: 10
search_domain_filterstringstring
search_recency_filteroneDay, oneWeek, oneMonth, oneYear, noLimit Default: noLimitoneDay, oneWeek, oneMonth, oneYear, noLimit Default: noLimit

GLM 4.6V Flash vs GLM 4.6V FlashX: limits and notes

GLM 4.6V Flash

Base token use is free. Built-in web search is optional through tool_web_search and adds $0.033 per request when enabled.

GLM 4.6V FlashX

Built-in web search is optional through tool_web_search and adds $0.033 per request when enabled.

How to call GLM 4.6V Flash and GLM 4.6V FlashX

GLM 4.6V Flash 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-4-6v-flash. Both models are called through the same endpoint. Set model to glm-4-6v-flash or glm-4-6v-flashx. 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-4-6v-flash",
    "messages": [
      {"role": "user", "content": "Write a haiku about the ocean."}
    ]
  }'

GLM 4.6V Flash vs GLM 4.6V FlashX: common questions

What is the difference between GLM 4.6V Flash and GLM 4.6V FlashX?

Both models have a context window of 128K tokens. Capabilities listed only for GLM 4.6V FlashX: cache. Both models list the same rate for Web search (per request when enabled). The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.

Which has the lower rate, GLM 4.6V Flash or GLM 4.6V FlashX?

Both models list the same rate for Web search (per request when enabled). Both live rate cards are on this page and always match what the API charges.

Can I switch between GLM 4.6V Flash and GLM 4.6V FlashX 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 4.6V Flash and GLM 4.6V FlashX 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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