Overview

Provider Type

API

API Endpoint


                                                        https://models.inference.ai.azure.com

Free Tier Highlights

50 RPD (high-tier) / 150 RPD (mini-tier)

Why Choose GitHub Models?

GitHub Models stands out for its unique features and capabilities. With a developer-friendly API and comprehensive documentation, you can integrate AI capabilities into your applications within minutes.

Available Models

Model Name	ID	Context	Capabilities
GPT-4o Free	`gpt-4o`	128 000	Reasoning
Llama 3.3 70B Instruct Free	`Meta-Llama-3.3-70B-Instruct`	128 000	-
Phi-4 Free	`Phi-4`	128 000	Reasoning
Mistral Large (24.11) Free	`Mistral-large-2411`	128 000	Reasoning Multilingual
Cohere Command R+ Free	`Cohere-command-r-plus-08-2024`	128 000	-
AI21 Jamba 1.5 Large Free	`AI21-Jamba-1.5-Large`	256 000	-
GPT-5 Chat Free	`gpt-5-chat`	128 000	-
GPT-5 Mini Free	`gpt-5-mini`	128 000	-
Llama 4 Scout Free	`Llama-4-Scout-17B-16E-Instruct`	128 000	-
Llama 4 Maverick Free	`Llama-4-Maverick-17B-128E-Instruct-FP8`	1 000 000	-

Integration Examples

Ready-to-use code snippets for your applications.

Select a Model

Select Model

main.py

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_GITHUB_TOKEN",
    base_url="https://models.inference.ai.azure.com"
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[
        {"role": "user", "content": "Explain how GitHub Models works"}
    ]
)

print(response.choices[0].message.content)

index.js

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_GITHUB_TOKEN',
  baseURL: 'https://models.inference.ai.azure.com'
});

const response = await client.chat.completions.create({
  model: 'gpt-4o',
  messages: [
    { role: 'user', content: 'Explain how GitHub Models works' }
  ]
});

console.log(response.choices[0].message.content);

terminal

curl https://models.inference.ai.azure.com/chat/completions \
  -H "Authorization: Bearer YOUR_GITHUB_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "messages": [
      {
        "role": "user",
        "content": "Explain how GitHub Models works"
      }
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://models.inference.ai.azure.com/models/gpt-4o:generateContent?key=$apiKey";

$data = [
    "contents" => [
        ["parts" => [["text" => "Explain quantum mechanics"]]]
    ]
];

$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));
curl_setopt($ch, CURLOPT_HTTPHEADER, ['Content-Type: application/json']);

$response = curl_exec($ch);
curl_close($ch);

echo $response;
?>

main.go

package main

import (
    "context"
    "fmt"
    "log"
    "github.com/google/generative-ai-go/genai"
    "google.golang.org/api/option"
)

func main() {
    ctx := context.Background()
    client, err := genai.NewClient(ctx, option.WithAPIKey("YOUR_API_KEY"))
    if err != nil { log.Fatal(err) }
    defer client.Close()

    model := client.GenerativeModel("gpt-4o")
    resp, err := model.GenerateContent(ctx, genai.Text("Explain quantum mechanics"))
    if err != nil { log.Fatal(err) }
    
    // ...
}

main.py

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_GITHUB_TOKEN",
    base_url="https://models.inference.ai.azure.com"
)

response = client.chat.completions.create(
    model="Meta-Llama-3.3-70B-Instruct",
    messages=[
        {"role": "user", "content": "Explain how GitHub Models works"}
    ]
)

print(response.choices[0].message.content)

index.js

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_GITHUB_TOKEN',
  baseURL: 'https://models.inference.ai.azure.com'
});

const response = await client.chat.completions.create({
  model: 'Meta-Llama-3.3-70B-Instruct',
  messages: [
    { role: 'user', content: 'Explain how GitHub Models works' }
  ]
});

console.log(response.choices[0].message.content);

terminal

curl https://models.inference.ai.azure.com/chat/completions \
  -H "Authorization: Bearer YOUR_GITHUB_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Meta-Llama-3.3-70B-Instruct",
    "messages": [
      {
        "role": "user",
        "content": "Explain how GitHub Models works"
      }
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://models.inference.ai.azure.com/models/Meta-Llama-3.3-70B-Instruct:generateContent?key=$apiKey";

$data = [
    "contents" => [
        ["parts" => [["text" => "Explain quantum mechanics"]]]
    ]
];

$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));
curl_setopt($ch, CURLOPT_HTTPHEADER, ['Content-Type: application/json']);

$response = curl_exec($ch);
curl_close($ch);

echo $response;
?>

main.go

package main

import (
    "context"
    "fmt"
    "log"
    "github.com/google/generative-ai-go/genai"
    "google.golang.org/api/option"
)

func main() {
    ctx := context.Background()
    client, err := genai.NewClient(ctx, option.WithAPIKey("YOUR_API_KEY"))
    if err != nil { log.Fatal(err) }
    defer client.Close()

    model := client.GenerativeModel("Meta-Llama-3.3-70B-Instruct")
    resp, err := model.GenerateContent(ctx, genai.Text("Explain quantum mechanics"))
    if err != nil { log.Fatal(err) }
    
    // ...
}

main.py

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_GITHUB_TOKEN",
    base_url="https://models.inference.ai.azure.com"
)

response = client.chat.completions.create(
    model="Phi-4",
    messages=[
        {"role": "user", "content": "Explain how GitHub Models works"}
    ]
)

print(response.choices[0].message.content)

index.js

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_GITHUB_TOKEN',
  baseURL: 'https://models.inference.ai.azure.com'
});

const response = await client.chat.completions.create({
  model: 'Phi-4',
  messages: [
    { role: 'user', content: 'Explain how GitHub Models works' }
  ]
});

console.log(response.choices[0].message.content);

terminal

curl https://models.inference.ai.azure.com/chat/completions \
  -H "Authorization: Bearer YOUR_GITHUB_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Phi-4",
    "messages": [
      {
        "role": "user",
        "content": "Explain how GitHub Models works"
      }
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://models.inference.ai.azure.com/models/Phi-4:generateContent?key=$apiKey";

$data = [
    "contents" => [
        ["parts" => [["text" => "Explain quantum mechanics"]]]
    ]
];

$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));
curl_setopt($ch, CURLOPT_HTTPHEADER, ['Content-Type: application/json']);

$response = curl_exec($ch);
curl_close($ch);

echo $response;
?>

main.go

package main

import (
    "context"
    "fmt"
    "log"
    "github.com/google/generative-ai-go/genai"
    "google.golang.org/api/option"
)

func main() {
    ctx := context.Background()
    client, err := genai.NewClient(ctx, option.WithAPIKey("YOUR_API_KEY"))
    if err != nil { log.Fatal(err) }
    defer client.Close()

    model := client.GenerativeModel("Phi-4")
    resp, err := model.GenerateContent(ctx, genai.Text("Explain quantum mechanics"))
    if err != nil { log.Fatal(err) }
    
    // ...
}

main.py

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_GITHUB_TOKEN",
    base_url="https://models.inference.ai.azure.com"
)

response = client.chat.completions.create(
    model="Mistral-large-2411",
    messages=[
        {"role": "user", "content": "Explain how GitHub Models works"}
    ]
)

print(response.choices[0].message.content)

index.js

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_GITHUB_TOKEN',
  baseURL: 'https://models.inference.ai.azure.com'
});

const response = await client.chat.completions.create({
  model: 'Mistral-large-2411',
  messages: [
    { role: 'user', content: 'Explain how GitHub Models works' }
  ]
});

console.log(response.choices[0].message.content);

terminal

curl https://models.inference.ai.azure.com/chat/completions \
  -H "Authorization: Bearer YOUR_GITHUB_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Mistral-large-2411",
    "messages": [
      {
        "role": "user",
        "content": "Explain how GitHub Models works"
      }
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://models.inference.ai.azure.com/models/Mistral-large-2411:generateContent?key=$apiKey";

$data = [
    "contents" => [
        ["parts" => [["text" => "Explain quantum mechanics"]]]
    ]
];

$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));
curl_setopt($ch, CURLOPT_HTTPHEADER, ['Content-Type: application/json']);

$response = curl_exec($ch);
curl_close($ch);

echo $response;
?>

main.go

package main

import (
    "context"
    "fmt"
    "log"
    "github.com/google/generative-ai-go/genai"
    "google.golang.org/api/option"
)

func main() {
    ctx := context.Background()
    client, err := genai.NewClient(ctx, option.WithAPIKey("YOUR_API_KEY"))
    if err != nil { log.Fatal(err) }
    defer client.Close()

    model := client.GenerativeModel("Mistral-large-2411")
    resp, err := model.GenerateContent(ctx, genai.Text("Explain quantum mechanics"))
    if err != nil { log.Fatal(err) }
    
    // ...
}

main.py

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_GITHUB_TOKEN",
    base_url="https://models.inference.ai.azure.com"
)

response = client.chat.completions.create(
    model="Cohere-command-r-plus-08-2024",
    messages=[
        {"role": "user", "content": "Explain how GitHub Models works"}
    ]
)

print(response.choices[0].message.content)

index.js

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_GITHUB_TOKEN',
  baseURL: 'https://models.inference.ai.azure.com'
});

const response = await client.chat.completions.create({
  model: 'Cohere-command-r-plus-08-2024',
  messages: [
    { role: 'user', content: 'Explain how GitHub Models works' }
  ]
});

console.log(response.choices[0].message.content);

terminal

curl https://models.inference.ai.azure.com/chat/completions \
  -H "Authorization: Bearer YOUR_GITHUB_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Cohere-command-r-plus-08-2024",
    "messages": [
      {
        "role": "user",
        "content": "Explain how GitHub Models works"
      }
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://models.inference.ai.azure.com/models/Cohere-command-r-plus-08-2024:generateContent?key=$apiKey";

$data = [
    "contents" => [
        ["parts" => [["text" => "Explain quantum mechanics"]]]
    ]
];

$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));
curl_setopt($ch, CURLOPT_HTTPHEADER, ['Content-Type: application/json']);

$response = curl_exec($ch);
curl_close($ch);

echo $response;
?>

main.go

package main

import (
    "context"
    "fmt"
    "log"
    "github.com/google/generative-ai-go/genai"
    "google.golang.org/api/option"
)

func main() {
    ctx := context.Background()
    client, err := genai.NewClient(ctx, option.WithAPIKey("YOUR_API_KEY"))
    if err != nil { log.Fatal(err) }
    defer client.Close()

    model := client.GenerativeModel("Cohere-command-r-plus-08-2024")
    resp, err := model.GenerateContent(ctx, genai.Text("Explain quantum mechanics"))
    if err != nil { log.Fatal(err) }
    
    // ...
}

main.py

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_GITHUB_TOKEN",
    base_url="https://models.inference.ai.azure.com"
)

response = client.chat.completions.create(
    model="AI21-Jamba-1.5-Large",
    messages=[
        {"role": "user", "content": "Explain how GitHub Models works"}
    ]
)

print(response.choices[0].message.content)

index.js

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_GITHUB_TOKEN',
  baseURL: 'https://models.inference.ai.azure.com'
});

const response = await client.chat.completions.create({
  model: 'AI21-Jamba-1.5-Large',
  messages: [
    { role: 'user', content: 'Explain how GitHub Models works' }
  ]
});

console.log(response.choices[0].message.content);

terminal

curl https://models.inference.ai.azure.com/chat/completions \
  -H "Authorization: Bearer YOUR_GITHUB_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "AI21-Jamba-1.5-Large",
    "messages": [
      {
        "role": "user",
        "content": "Explain how GitHub Models works"
      }
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://models.inference.ai.azure.com/models/AI21-Jamba-1.5-Large:generateContent?key=$apiKey";

$data = [
    "contents" => [
        ["parts" => [["text" => "Explain quantum mechanics"]]]
    ]
];

$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));
curl_setopt($ch, CURLOPT_HTTPHEADER, ['Content-Type: application/json']);

$response = curl_exec($ch);
curl_close($ch);

echo $response;
?>

main.go

package main

import (
    "context"
    "fmt"
    "log"
    "github.com/google/generative-ai-go/genai"
    "google.golang.org/api/option"
)

func main() {
    ctx := context.Background()
    client, err := genai.NewClient(ctx, option.WithAPIKey("YOUR_API_KEY"))
    if err != nil { log.Fatal(err) }
    defer client.Close()

    model := client.GenerativeModel("AI21-Jamba-1.5-Large")
    resp, err := model.GenerateContent(ctx, genai.Text("Explain quantum mechanics"))
    if err != nil { log.Fatal(err) }
    
    // ...
}

main.py

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_GITHUB_TOKEN",
    base_url="https://models.inference.ai.azure.com"
)

response = client.chat.completions.create(
    model="gpt-5-chat",
    messages=[
        {"role": "user", "content": "Explain how GitHub Models works"}
    ]
)

print(response.choices[0].message.content)

index.js

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_GITHUB_TOKEN',
  baseURL: 'https://models.inference.ai.azure.com'
});

const response = await client.chat.completions.create({
  model: 'gpt-5-chat',
  messages: [
    { role: 'user', content: 'Explain how GitHub Models works' }
  ]
});

console.log(response.choices[0].message.content);

terminal

curl https://models.inference.ai.azure.com/chat/completions \
  -H "Authorization: Bearer YOUR_GITHUB_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5-chat",
    "messages": [
      {
        "role": "user",
        "content": "Explain how GitHub Models works"
      }
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://models.inference.ai.azure.com/models/gpt-5-chat:generateContent?key=$apiKey";

$data = [
    "contents" => [
        ["parts" => [["text" => "Explain quantum mechanics"]]]
    ]
];

$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));
curl_setopt($ch, CURLOPT_HTTPHEADER, ['Content-Type: application/json']);

$response = curl_exec($ch);
curl_close($ch);

echo $response;
?>

main.go

package main

import (
    "context"
    "fmt"
    "log"
    "github.com/google/generative-ai-go/genai"
    "google.golang.org/api/option"
)

func main() {
    ctx := context.Background()
    client, err := genai.NewClient(ctx, option.WithAPIKey("YOUR_API_KEY"))
    if err != nil { log.Fatal(err) }
    defer client.Close()

    model := client.GenerativeModel("gpt-5-chat")
    resp, err := model.GenerateContent(ctx, genai.Text("Explain quantum mechanics"))
    if err != nil { log.Fatal(err) }
    
    // ...
}

main.py

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_GITHUB_TOKEN",
    base_url="https://models.inference.ai.azure.com"
)

response = client.chat.completions.create(
    model="gpt-5-mini",
    messages=[
        {"role": "user", "content": "Explain how GitHub Models works"}
    ]
)

print(response.choices[0].message.content)

index.js

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_GITHUB_TOKEN',
  baseURL: 'https://models.inference.ai.azure.com'
});

const response = await client.chat.completions.create({
  model: 'gpt-5-mini',
  messages: [
    { role: 'user', content: 'Explain how GitHub Models works' }
  ]
});

console.log(response.choices[0].message.content);

terminal

curl https://models.inference.ai.azure.com/chat/completions \
  -H "Authorization: Bearer YOUR_GITHUB_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5-mini",
    "messages": [
      {
        "role": "user",
        "content": "Explain how GitHub Models works"
      }
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://models.inference.ai.azure.com/models/gpt-5-mini:generateContent?key=$apiKey";

$data = [
    "contents" => [
        ["parts" => [["text" => "Explain quantum mechanics"]]]
    ]
];

$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));
curl_setopt($ch, CURLOPT_HTTPHEADER, ['Content-Type: application/json']);

$response = curl_exec($ch);
curl_close($ch);

echo $response;
?>

main.go

package main

import (
    "context"
    "fmt"
    "log"
    "github.com/google/generative-ai-go/genai"
    "google.golang.org/api/option"
)

func main() {
    ctx := context.Background()
    client, err := genai.NewClient(ctx, option.WithAPIKey("YOUR_API_KEY"))
    if err != nil { log.Fatal(err) }
    defer client.Close()

    model := client.GenerativeModel("gpt-5-mini")
    resp, err := model.GenerateContent(ctx, genai.Text("Explain quantum mechanics"))
    if err != nil { log.Fatal(err) }
    
    // ...
}

main.py

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_GITHUB_TOKEN",
    base_url="https://models.inference.ai.azure.com"
)

response = client.chat.completions.create(
    model="Llama-4-Scout-17B-16E-Instruct",
    messages=[
        {"role": "user", "content": "Explain how GitHub Models works"}
    ]
)

print(response.choices[0].message.content)

index.js

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_GITHUB_TOKEN',
  baseURL: 'https://models.inference.ai.azure.com'
});

const response = await client.chat.completions.create({
  model: 'Llama-4-Scout-17B-16E-Instruct',
  messages: [
    { role: 'user', content: 'Explain how GitHub Models works' }
  ]
});

console.log(response.choices[0].message.content);

terminal

curl https://models.inference.ai.azure.com/chat/completions \
  -H "Authorization: Bearer YOUR_GITHUB_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Llama-4-Scout-17B-16E-Instruct",
    "messages": [
      {
        "role": "user",
        "content": "Explain how GitHub Models works"
      }
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://models.inference.ai.azure.com/models/Llama-4-Scout-17B-16E-Instruct:generateContent?key=$apiKey";

$data = [
    "contents" => [
        ["parts" => [["text" => "Explain quantum mechanics"]]]
    ]
];

$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));
curl_setopt($ch, CURLOPT_HTTPHEADER, ['Content-Type: application/json']);

$response = curl_exec($ch);
curl_close($ch);

echo $response;
?>

main.go

package main

import (
    "context"
    "fmt"
    "log"
    "github.com/google/generative-ai-go/genai"
    "google.golang.org/api/option"
)

func main() {
    ctx := context.Background()
    client, err := genai.NewClient(ctx, option.WithAPIKey("YOUR_API_KEY"))
    if err != nil { log.Fatal(err) }
    defer client.Close()

    model := client.GenerativeModel("Llama-4-Scout-17B-16E-Instruct")
    resp, err := model.GenerateContent(ctx, genai.Text("Explain quantum mechanics"))
    if err != nil { log.Fatal(err) }
    
    // ...
}

main.py

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_GITHUB_TOKEN",
    base_url="https://models.inference.ai.azure.com"
)

response = client.chat.completions.create(
    model="Llama-4-Maverick-17B-128E-Instruct-FP8",
    messages=[
        {"role": "user", "content": "Explain how GitHub Models works"}
    ]
)

print(response.choices[0].message.content)

index.js

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_GITHUB_TOKEN',
  baseURL: 'https://models.inference.ai.azure.com'
});

const response = await client.chat.completions.create({
  model: 'Llama-4-Maverick-17B-128E-Instruct-FP8',
  messages: [
    { role: 'user', content: 'Explain how GitHub Models works' }
  ]
});

console.log(response.choices[0].message.content);

terminal

curl https://models.inference.ai.azure.com/chat/completions \
  -H "Authorization: Bearer YOUR_GITHUB_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Llama-4-Maverick-17B-128E-Instruct-FP8",
    "messages": [
      {
        "role": "user",
        "content": "Explain how GitHub Models works"
      }
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://models.inference.ai.azure.com/models/Llama-4-Maverick-17B-128E-Instruct-FP8:generateContent?key=$apiKey";

$data = [
    "contents" => [
        ["parts" => [["text" => "Explain quantum mechanics"]]]
    ]
];

$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));
curl_setopt($ch, CURLOPT_HTTPHEADER, ['Content-Type: application/json']);

$response = curl_exec($ch);
curl_close($ch);

echo $response;
?>

main.go

package main

import (
    "context"
    "fmt"
    "log"
    "github.com/google/generative-ai-go/genai"
    "google.golang.org/api/option"
)

func main() {
    ctx := context.Background()
    client, err := genai.NewClient(ctx, option.WithAPIKey("YOUR_API_KEY"))
    if err != nil { log.Fatal(err) }
    defer client.Close()

    model := client.GenerativeModel("Llama-4-Maverick-17B-128E-Instruct-FP8")
    resp, err := model.GenerateContent(ctx, genai.Text("Explain quantum mechanics"))
    if err != nil { log.Fatal(err) }
    
    // ...
}

Free Tier Pricing & Limits

Rate Limit

Requests per minute

10 Requests per minute (high-tier) / higher for mini-tier

Daily Quota

Requests per day

50 Requests per day (high-tier models) / 150 Requests per day (mini-tier models)

Token Limit

Tokens per minute

8 000 input / 4 000 output per request

Monthly Quota

Per month limit

Limitations & Considerations

Restrictive limits

Requires GitHub account

Rate limits vary by Copilot tier

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GitHub Models

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Why Choose GitHub Models?

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Token Limit

Monthly Quota

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GitHub Models

Overview

Provider Type

API Endpoint

Free Tier Highlights

Why Choose GitHub Models?

Available Models

Integration Examples

Select Model

Free Tier Pricing & Limits

Rate Limit

Daily Quota

Token Limit

Monthly Quota

Limitations & Considerations

Community Hub

Quick Reactions

Add Discussion

Recent Activity

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