curl --request POST \
--url https://api.zerogpu.ai/v1/responses \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--header 'x-project-id: <api-key>' \
--data '
{
"model": "llama-3.1-8b-instruct-fast",
"input": "NASA announced that its Artemis III mission is now scheduled for late 2026, marking the first time astronauts will land on the lunar surface since Apollo 17 in 1972. The mission will send a crew of four to the Moon aboard the Orion spacecraft, with two astronauts descending to the south pole using SpaceX Starship as a lunar lander. Scientists are particularly excited about exploring permanently shadowed craters that may contain water ice, which could be critical for sustaining long-term human presence on the Moon."
}
'import requests
url = "https://api.zerogpu.ai/v1/responses"
payload = {
"model": "llama-3.1-8b-instruct-fast",
"input": "NASA announced that its Artemis III mission is now scheduled for late 2026, marking the first time astronauts will land on the lunar surface since Apollo 17 in 1972. The mission will send a crew of four to the Moon aboard the Orion spacecraft, with two astronauts descending to the south pole using SpaceX Starship as a lunar lander. Scientists are particularly excited about exploring permanently shadowed craters that may contain water ice, which could be critical for sustaining long-term human presence on the Moon."
}
headers = {
"x-api-key": "<api-key>",
"x-project-id": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {
'x-api-key': '<api-key>',
'x-project-id': '<api-key>',
'Content-Type': 'application/json'
},
body: JSON.stringify({
model: 'llama-3.1-8b-instruct-fast',
input: 'NASA announced that its Artemis III mission is now scheduled for late 2026, marking the first time astronauts will land on the lunar surface since Apollo 17 in 1972. The mission will send a crew of four to the Moon aboard the Orion spacecraft, with two astronauts descending to the south pole using SpaceX Starship as a lunar lander. Scientists are particularly excited about exploring permanently shadowed craters that may contain water ice, which could be critical for sustaining long-term human presence on the Moon.'
})
};
fetch('https://api.zerogpu.ai/v1/responses', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));falsepackage main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.zerogpu.ai/v1/responses"
payload := strings.NewReader("{\n \"model\": \"llama-3.1-8b-instruct-fast\",\n \"input\": \"NASA announced that its Artemis III mission is now scheduled for late 2026, marking the first time astronauts will land on the lunar surface since Apollo 17 in 1972. The mission will send a crew of four to the Moon aboard the Orion spacecraft, with two astronauts descending to the south pole using SpaceX Starship as a lunar lander. Scientists are particularly excited about exploring permanently shadowed craters that may contain water ice, which could be critical for sustaining long-term human presence on the Moon.\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-api-key", "<api-key>")
req.Header.Add("x-project-id", "<api-key>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}require 'uri'
require 'net/http'
url = URI("https://api.zerogpu.ai/v1/responses")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["x-project-id"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"llama-3.1-8b-instruct-fast\",\n \"input\": \"NASA announced that its Artemis III mission is now scheduled for late 2026, marking the first time astronauts will land on the lunar surface since Apollo 17 in 1972. The mission will send a crew of four to the Moon aboard the Orion spacecraft, with two astronauts descending to the south pole using SpaceX Starship as a lunar lander. Scientists are particularly excited about exploring permanently shadowed craters that may contain water ice, which could be critical for sustaining long-term human presence on the Moon.\"\n}"
response = http.request(request)
puts response.read_body{
"id": "resp_abc123",
"object": "response",
"created": 1710000000,
"model": "llama-3.1-8b-instruct-fast",
"output": [
{
"type": "message",
"role": "assistant",
"content": [
{
"type": "output_text",
"text": "Artemis III, slated for late 2026, will return astronauts to the Moon for the first time since 1972, landing two crew at the south pole to study shadowed craters that may hold water ice."
}
]
}
],
"usage": {
"input_tokens": 112,
"output_tokens": 44,
"total_tokens": 156
}
}{
"error": {
"code": "insufficient_quota",
"message": "You have insufficient quota to complete this request."
}
}Responses
Send input to an AI model and receive a response.
curl --request POST \
--url https://api.zerogpu.ai/v1/responses \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--header 'x-project-id: <api-key>' \
--data '
{
"model": "llama-3.1-8b-instruct-fast",
"input": "NASA announced that its Artemis III mission is now scheduled for late 2026, marking the first time astronauts will land on the lunar surface since Apollo 17 in 1972. The mission will send a crew of four to the Moon aboard the Orion spacecraft, with two astronauts descending to the south pole using SpaceX Starship as a lunar lander. Scientists are particularly excited about exploring permanently shadowed craters that may contain water ice, which could be critical for sustaining long-term human presence on the Moon."
}
'import requests
url = "https://api.zerogpu.ai/v1/responses"
payload = {
"model": "llama-3.1-8b-instruct-fast",
"input": "NASA announced that its Artemis III mission is now scheduled for late 2026, marking the first time astronauts will land on the lunar surface since Apollo 17 in 1972. The mission will send a crew of four to the Moon aboard the Orion spacecraft, with two astronauts descending to the south pole using SpaceX Starship as a lunar lander. Scientists are particularly excited about exploring permanently shadowed craters that may contain water ice, which could be critical for sustaining long-term human presence on the Moon."
}
headers = {
"x-api-key": "<api-key>",
"x-project-id": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {
'x-api-key': '<api-key>',
'x-project-id': '<api-key>',
'Content-Type': 'application/json'
},
body: JSON.stringify({
model: 'llama-3.1-8b-instruct-fast',
input: 'NASA announced that its Artemis III mission is now scheduled for late 2026, marking the first time astronauts will land on the lunar surface since Apollo 17 in 1972. The mission will send a crew of four to the Moon aboard the Orion spacecraft, with two astronauts descending to the south pole using SpaceX Starship as a lunar lander. Scientists are particularly excited about exploring permanently shadowed craters that may contain water ice, which could be critical for sustaining long-term human presence on the Moon.'
})
};
fetch('https://api.zerogpu.ai/v1/responses', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));falsepackage main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.zerogpu.ai/v1/responses"
payload := strings.NewReader("{\n \"model\": \"llama-3.1-8b-instruct-fast\",\n \"input\": \"NASA announced that its Artemis III mission is now scheduled for late 2026, marking the first time astronauts will land on the lunar surface since Apollo 17 in 1972. The mission will send a crew of four to the Moon aboard the Orion spacecraft, with two astronauts descending to the south pole using SpaceX Starship as a lunar lander. Scientists are particularly excited about exploring permanently shadowed craters that may contain water ice, which could be critical for sustaining long-term human presence on the Moon.\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-api-key", "<api-key>")
req.Header.Add("x-project-id", "<api-key>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}require 'uri'
require 'net/http'
url = URI("https://api.zerogpu.ai/v1/responses")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["x-project-id"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"llama-3.1-8b-instruct-fast\",\n \"input\": \"NASA announced that its Artemis III mission is now scheduled for late 2026, marking the first time astronauts will land on the lunar surface since Apollo 17 in 1972. The mission will send a crew of four to the Moon aboard the Orion spacecraft, with two astronauts descending to the south pole using SpaceX Starship as a lunar lander. Scientists are particularly excited about exploring permanently shadowed craters that may contain water ice, which could be critical for sustaining long-term human presence on the Moon.\"\n}"
response = http.request(request)
puts response.read_body{
"id": "resp_abc123",
"object": "response",
"created": 1710000000,
"model": "llama-3.1-8b-instruct-fast",
"output": [
{
"type": "message",
"role": "assistant",
"content": [
{
"type": "output_text",
"text": "Artemis III, slated for late 2026, will return astronauts to the Moon for the first time since 1972, landing two crew at the south pole to study shadowed craters that may hold water ice."
}
]
}
],
"usage": {
"input_tokens": 112,
"output_tokens": 44,
"total_tokens": 156
}
}{
"error": {
"code": "insufficient_quota",
"message": "You have insufficient quota to complete this request."
}
}input; what comes back depends on the model: generated text, a classification, extracted fields, redacted output, and more. The input and output shapes vary by model, so open a model page for a prefilled playground. For the messages-style route, see Chat completions.
Install the official SDK from npm or PyPI (pip install zerogpu-api). Source: zerogpu/SDK. Handle errors the same way as API error codes.Authorizations
Your ZeroGPU API key. Create one in the dashboard under API keys. Send it on every request.
The UUID of the project the request is billed to. Find it in the dashboard project settings.
Body
Model identifier. Open a model page for a dedicated playground with the correct body for that model.
llama-3.1-8b-instruct-fast, LFM2.5-1.2B-Instruct, LFM2.5-1.2B-Thinking, deberta-v3-small, gliner2-base-v1, gliner-multi-pii-v1, zlm-v1-followup-questions-edge, zlm-v1-iab-classify-edge, zlm-v1-iab-classify-edge-enriched "llama-3.1-8b-instruct-fast"
The text or document to send, as a plain string.
1 - 131072Optional system-style instructions applied on top of input, for models that support them.
Optional model-specific parameters, passed through to the model. For example, PII models accept mask and usecase. See the relevant model page for supported keys.
Response
Success
The generated model response.
Unique identifier for the response.
"resp_abc123"
Object type. Always response.
"response"
Unix timestamp (seconds) when the response was created.
1710000000
The model used for inference.
"llama-3.1-8b-instruct-fast"
Output message objects produced by the model.
Hide child attributes
Hide child attributes
Output item type.
"message"
Author of the output. Always assistant.
"assistant"

