curl --request POST \
--url https://api.zerogpu.ai/v1/responses \
--header 'Content-Type: application/json' \
--header 'x-api-key: <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>",
"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>', '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));
false
package 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("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["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."
}
}
Endpoints
Responses
Send input to an AI model and receive a response.
POST
/
responses
Create response
curl --request POST \
--url https://api.zerogpu.ai/v1/responses \
--header 'Content-Type: application/json' \
--header 'x-api-key: <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>",
"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>', '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));
false
package 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("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["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."
}
}
One endpoint for every model. Pass text or a document as 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.
Optional model-specific parameters, passed through to the model. For example, the GLiNER2.5 models accept usecase together with labels or schema. See the relevant model page for supported keys.
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