Data API / DataForSEO / AI Optimization

List of Gemini models for LLM Responses

The Gemini models available, each with model_name, reasoning, web_search_supported and task_post_supported. Read it before calling; an unlisted model_name is rejected with 40501 inside an HTTP 200.

Parameters

No path, query, or header parameters.

Example request

curl -X GET "https://openapi.felo.ai/v1/beta/dataforseo/ai_optimization/gemini/llm_responses/models" \
  -H "Authorization: Bearer $FELO_API_KEY"

Response

Response fields

versionstringOptional
the current version of the API
status_codeintegerOptional
general status code you can find the full list of the response codes here
status_messagestringOptional
general informational message you can find the full list of general informational messages here
timestringOptional
execution time, seconds
costnumberOptional
total tasks cost, USD
tasks_countintegerOptional
the number of tasks in the tasks array
tasks_errorintegerOptional
the number of tasks in the tasks array returned with an error
tasksstring[]Optional
array of tasks
idstringOptional
task identifier unique task identifier in our system in the UUID format
status_codeintegerOptional
status code of the task generated by DataForSEO; can be within the following range: 10000-60000 you can find the full list of the response codes here
status_messagestringOptional
informational message of the task you can find the full list of general informational messages here
timestringOptional
execution time, seconds
costnumberOptional
cost of the task, USD
result_countintegerOptional
number of elements in the result array
pathstring[]Optional
URL path
dataobjectOptional
contains the parameters passed in the URL of the GET request
resultstring[]Optional
array of results
model_namestringOptional
name of the AI model
reasoningbooleanOptional
indicates if the AI model supports reasoning
web_search_supportedbooleanOptional
web search support for the AI model if true, the web_search parameter can be set with the AI model
task_post_supportedbooleanOptional
indicates if Standard (POST-GET) data retrieval is supported if true, you can use the Standard (POST-GET) data retrieval method with the AI model