Overview

Provider Type

Proxy

API Endpoint


                                                        https://api.inferbase.ai/v1

Free Tier Highlights

100 managed requests per day

Quick Start Guide

1

Create a free account at inferbase.ai

2

Generate an API key

3

Call https://api.inferbase.ai/v1 with any model under $2/M output

Available Models

Model Name	ID	Context	Capabilities
GPT-OSS 120B Free	`openai-gpt-oss-120b`	128 000 Context	-
DeepSeek V4 Flash Free	`deepseek-v4-flash`	1 000 000 Context	-
Qwen3.6 27B Free	`qwen3-6-27b`	-	-
Gemma 4 31B IT Free	`google-gemma-4-31b-it`	256 000 Context	-
Kimi K2.7 Code Free	`moonshot-kimi-k2-7-code`	256 000 Context	-
GLM-4.7 Flash Free	`zai-glm-4-7-flash`	200 000 Context	-

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_INFERBASE_KEY",
    base_url="https://api.inferbase.ai/v1"
)

response = client.chat.completions.create(
    model="openai-gpt-oss-120b",
    messages=[
        {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
)

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

index.js

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_INFERBASE_KEY',
  baseURL: 'https://api.inferbase.ai/v1'
});

const response = await client.chat.completions.create({
  model: 'openai-gpt-oss-120b',
  messages: [
    { role: 'user', content: 'Give me three tips for writing clean code.' }
  ]
});

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

terminal

curl https://api.inferbase.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_INFERBASE_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai-gpt-oss-120b",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://api.inferbase.ai/v1/models/openai-gpt-oss-120b:generateContent?key=$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("openai-gpt-oss-120b")
    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_INFERBASE_KEY",
    base_url="https://api.inferbase.ai/v1"
)

response = client.chat.completions.create(
    model="deepseek-v4-flash",
    messages=[
        {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
)

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

index.js

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_INFERBASE_KEY',
  baseURL: 'https://api.inferbase.ai/v1'
});

const response = await client.chat.completions.create({
  model: 'deepseek-v4-flash',
  messages: [
    { role: 'user', content: 'Give me three tips for writing clean code.' }
  ]
});

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

terminal

curl https://api.inferbase.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_INFERBASE_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4-flash",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://api.inferbase.ai/v1/models/deepseek-v4-flash:generateContent?key=$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("deepseek-v4-flash")
    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_INFERBASE_KEY",
    base_url="https://api.inferbase.ai/v1"
)

response = client.chat.completions.create(
    model="qwen3-6-27b",
    messages=[
        {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
)

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

index.js

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_INFERBASE_KEY',
  baseURL: 'https://api.inferbase.ai/v1'
});

const response = await client.chat.completions.create({
  model: 'qwen3-6-27b',
  messages: [
    { role: 'user', content: 'Give me three tips for writing clean code.' }
  ]
});

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

terminal

curl https://api.inferbase.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_INFERBASE_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3-6-27b",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://api.inferbase.ai/v1/models/qwen3-6-27b:generateContent?key=$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("qwen3-6-27b")
    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_INFERBASE_KEY",
    base_url="https://api.inferbase.ai/v1"
)

response = client.chat.completions.create(
    model="google-gemma-4-31b-it",
    messages=[
        {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
)

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

index.js

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_INFERBASE_KEY',
  baseURL: 'https://api.inferbase.ai/v1'
});

const response = await client.chat.completions.create({
  model: 'google-gemma-4-31b-it',
  messages: [
    { role: 'user', content: 'Give me three tips for writing clean code.' }
  ]
});

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

terminal

curl https://api.inferbase.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_INFERBASE_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google-gemma-4-31b-it",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://api.inferbase.ai/v1/models/google-gemma-4-31b-it:generateContent?key=$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("google-gemma-4-31b-it")
    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_INFERBASE_KEY",
    base_url="https://api.inferbase.ai/v1"
)

response = client.chat.completions.create(
    model="moonshot-kimi-k2-7-code",
    messages=[
        {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
)

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

index.js

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_INFERBASE_KEY',
  baseURL: 'https://api.inferbase.ai/v1'
});

const response = await client.chat.completions.create({
  model: 'moonshot-kimi-k2-7-code',
  messages: [
    { role: 'user', content: 'Give me three tips for writing clean code.' }
  ]
});

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

terminal

curl https://api.inferbase.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_INFERBASE_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "moonshot-kimi-k2-7-code",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://api.inferbase.ai/v1/models/moonshot-kimi-k2-7-code:generateContent?key=$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("moonshot-kimi-k2-7-code")
    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_INFERBASE_KEY",
    base_url="https://api.inferbase.ai/v1"
)

response = client.chat.completions.create(
    model="zai-glm-4-7-flash",
    messages=[
        {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
)

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

index.js

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_INFERBASE_KEY',
  baseURL: 'https://api.inferbase.ai/v1'
});

const response = await client.chat.completions.create({
  model: 'zai-glm-4-7-flash',
  messages: [
    { role: 'user', content: 'Give me three tips for writing clean code.' }
  ]
});

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

terminal

curl https://api.inferbase.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_INFERBASE_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "zai-glm-4-7-flash",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://api.inferbase.ai/v1/models/zai-glm-4-7-flash:generateContent?key=$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("zai-glm-4-7-flash")
    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

100 managed requests per day

Daily Quota

Requests per day

$0.50 of managed model usage per day; 5000 requests per month

Use Cases

Prototyping

Routing between several providers

Limitations & Considerations

$0.50 of usage and 100 managed requests per day

Only managed models up to $2/M output tokens are covered

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Inferbase

Overview

Provider Type

API Endpoint

Free Tier Highlights

Why Choose Inferbase?

Quick Start Guide

Create a free account at inferbase.ai

Generate an API key

Call https://api.inferbase.ai/v1 with any model under $2/M output

Available Models

Integration Examples

Select Model

Free Tier Pricing & Limits

Rate Limit

Daily Quota

Use Cases

Limitations & Considerations

Community Hub

Quick Reactions

Add Discussion

Recent Activity

Ready to Get Started?

Cookie Consent

Inferbase

Overview

Provider Type

API Endpoint

Free Tier Highlights

Why Choose Inferbase?

Quick Start Guide

Create a free account at inferbase.ai

Generate an API key

Call https://api.inferbase.ai/v1 with any model under $2/M output

Available Models

Integration Examples

Select Model

Free Tier Pricing & Limits

Rate Limit

Daily Quota

Use Cases

Limitations & Considerations

Community Hub

Quick Reactions

Add Discussion

Recent Activity

Suggest an Edit

Report an Issue

Ready to Get Started?