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POST
/
api
/
generate
curl http://localhost:11434/api/generate -d '{
  "model": "gemma3",
  "prompt": "Why is the sky blue?"
}'
{
  "model": "gemma3",
  "created_at": "2025-10-17T23:14:07.414671Z",
  "response": "Hello! How can I help you today?",
  "done": true,
  "done_reason": "stop",
  "total_duration": 174560334,
  "load_duration": 101397084,
  "prompt_eval_count": 11,
  "prompt_eval_duration": 13074791,
  "eval_count": 18,
  "eval_duration": 52479709
}

Body

application/json
​
model
string
required

Model name

​
prompt
string

Text for the model to generate a response from

​
suffix
string

Used for fill-in-the-middle models, text that appears after the user prompt and before the model response

​
images
string[]

Base64-encoded images for models that support image input

​
format

Structured output format for the model to generate a response from. Supports either the string "json" or a JSON schema object.

​
system
string

System prompt for the model to generate a response from

​
stream
boolean
default:true

When true, returns a stream of partial responses

​
think

When true, returns separate thinking output in addition to content. Can be a boolean (true/false) or a string ("high", "medium", "low") for supported models.

​
raw
boolean

When true, returns the raw response from the model without any prompt templating

​
keep_alive

Model keep-alive duration (for example 5m or 0 to unload immediately)

​
options
object

Runtime options that control text generation

​
logprobs
boolean

Whether to return log probabilities of the output tokens

​
top_logprobs
integer

Number of most likely tokens to return at each token position when logprobs are enabled

Response

Generation responses

​
model
string

Model name

​
created_at
string

ISO 8601 timestamp of response creation

​
response
string

The model's generated text response

​
thinking
string

The model's generated thinking output

​
done
boolean

Indicates whether generation has finished

​
done_reason
string

Reason the generation stopped

​
total_duration
integer

Time spent generating the response in nanoseconds

​
load_duration
integer

Time spent loading the model in nanoseconds

​
prompt_eval_count
integer

Number of input tokens in the prompt

​
prompt_eval_duration
integer

Time spent evaluating the prompt in nanoseconds

​
eval_count
integer

Number of output tokens generated in the response

​
eval_duration
integer

Time spent generating tokens in nanoseconds

​
logprobs
object[]

Log probability information for the generated tokens when logprobs are enabled