Overview

Provider Type

API

API Endpoint


                                                        https://api.kluster.ai/v1

Free Tier Highlights

Batch-based (async)

Quick Start Guide

1

Visit https://kluster.ai/

2

Sign up for free account

3

Generate API key

4

Prepare JSONL batch file

5

Submit batch via API

6

Poll for results

Available Models

Model Name	ID	Context	Capabilities
Llama 3.1 405B Instruct Free	`meta-llama/Llama-3.1-405B-Instruct`	128 000	Reasoning
DeepSeek-R1 Free	`deepseek-ai/DeepSeek-R1`	64 000	Reasoning
Qwen 2.5 72B Instruct Free	`Qwen/Qwen2.5-72B-Instruct`	32 000	-

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_KLUSTER_KEY",
    base_url="https://api.kluster.ai/v1"
)

# Upload batch file
batch_file = client.files.create(
    file=open("batch_requests.jsonl", "rb"),
    purpose="batch"
)

# Create batch job
batch = client.batches.create(
    input_file_id=batch_file.id,
    endpoint="/v1/chat/completions",
    completion_window="24h"
)

print(f"Batch ID: {batch.id}")
print(f"Status: {batch.status}")

index.js

import OpenAI from 'openai';
import fs from 'fs';

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

// Upload batch file
const file = await client.files.create({
  file: fs.createReadStream('batch_requests.jsonl'),
  purpose: 'batch'
});

// Create batch job
const batch = await client.batches.create({
  input_file_id: file.id,
  endpoint: '/v1/chat/completions',
  completion_window: '24h'
});

console.log(`Batch ID: ${batch.id}`);

terminal

# 1. Upload batch file
curl https://api.kluster.ai/v1/files \
  -H "Authorization: Bearer YOUR_KLUSTER_KEY" \
  -F purpose="batch" \
  -F file="@batch_requests.jsonl"

# 2. Create batch job
curl https://api.kluster.ai/v1/batches \
  -H "Authorization: Bearer YOUR_KLUSTER_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input_file_id": "file-abc123",
    "endpoint": "/v1/chat/completions",
    "completion_window": "24h"
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://api.kluster.ai/v1/models/meta-llama/Llama-3.1-405B-Instruct:generateContent?key=$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/Llama-3.1-405B-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_KLUSTER_KEY",
    base_url="https://api.kluster.ai/v1"
)

# Upload batch file
batch_file = client.files.create(
    file=open("batch_requests.jsonl", "rb"),
    purpose="batch"
)

# Create batch job
batch = client.batches.create(
    input_file_id=batch_file.id,
    endpoint="/v1/chat/completions",
    completion_window="24h"
)

print(f"Batch ID: {batch.id}")
print(f"Status: {batch.status}")

index.js

import OpenAI from 'openai';
import fs from 'fs';

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

// Upload batch file
const file = await client.files.create({
  file: fs.createReadStream('batch_requests.jsonl'),
  purpose: 'batch'
});

// Create batch job
const batch = await client.batches.create({
  input_file_id: file.id,
  endpoint: '/v1/chat/completions',
  completion_window: '24h'
});

console.log(`Batch ID: ${batch.id}`);

terminal

# 1. Upload batch file
curl https://api.kluster.ai/v1/files \
  -H "Authorization: Bearer YOUR_KLUSTER_KEY" \
  -F purpose="batch" \
  -F file="@batch_requests.jsonl"

# 2. Create batch job
curl https://api.kluster.ai/v1/batches \
  -H "Authorization: Bearer YOUR_KLUSTER_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input_file_id": "file-abc123",
    "endpoint": "/v1/chat/completions",
    "completion_window": "24h"
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://api.kluster.ai/v1/models/deepseek-ai/DeepSeek-R1:generateContent?key=$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-ai/DeepSeek-R1")
    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_KLUSTER_KEY",
    base_url="https://api.kluster.ai/v1"
)

# Upload batch file
batch_file = client.files.create(
    file=open("batch_requests.jsonl", "rb"),
    purpose="batch"
)

# Create batch job
batch = client.batches.create(
    input_file_id=batch_file.id,
    endpoint="/v1/chat/completions",
    completion_window="24h"
)

print(f"Batch ID: {batch.id}")
print(f"Status: {batch.status}")

index.js

import OpenAI from 'openai';
import fs from 'fs';

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

// Upload batch file
const file = await client.files.create({
  file: fs.createReadStream('batch_requests.jsonl'),
  purpose: 'batch'
});

// Create batch job
const batch = await client.batches.create({
  input_file_id: file.id,
  endpoint: '/v1/chat/completions',
  completion_window: '24h'
});

console.log(`Batch ID: ${batch.id}`);

terminal

# 1. Upload batch file
curl https://api.kluster.ai/v1/files \
  -H "Authorization: Bearer YOUR_KLUSTER_KEY" \
  -F purpose="batch" \
  -F file="@batch_requests.jsonl"

# 2. Create batch job
curl https://api.kluster.ai/v1/batches \
  -H "Authorization: Bearer YOUR_KLUSTER_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input_file_id": "file-abc123",
    "endpoint": "/v1/chat/completions",
    "completion_window": "24h"
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://api.kluster.ai/v1/models/Qwen/Qwen2.5-72B-Instruct:generateContent?key=$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("Qwen/Qwen2.5-72B-Instruct")
    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

Batch-based (async)

Daily Quota

Requests per day

Generous batch quotas

Token Limit

Tokens per minute

Free for batch API

Monthly Quota

Per month limit

Subject to fair use

Use Cases

Bulk text classification

Large-scale data labeling

Batch content generation

Dataset augmentation

Research at scale

Limitations & Considerations

Batch only (not real-time chat)

Results take hours (async processing)

JSONL format required

Fair use limits apply

No streaming support

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Kluster.ai

Overview

Provider Type

API Endpoint

Free Tier Highlights

Why Choose Kluster.ai?

Quick Start Guide

Visit https://kluster.ai/

Sign up for free account

Generate API key

Prepare JSONL batch file

Submit batch via API

Poll for results

Available Models

Integration Examples

Select Model

Free Tier Pricing & Limits

Rate Limit

Daily Quota

Token Limit

Monthly Quota

Use Cases

Limitations & Considerations

Community Hub

Quick Reactions

Add Discussion

Recent Activity

Ready to Get Started?

Cookie Consent

Kluster.ai

Overview

Provider Type

API Endpoint

Free Tier Highlights

Why Choose Kluster.ai?

Quick Start Guide

Visit https://kluster.ai/

Sign up for free account

Generate API key

Prepare JSONL batch file

Submit batch via API

Poll for results

Available Models

Integration Examples

Select Model

Free Tier Pricing & Limits

Rate Limit

Daily Quota

Token Limit

Monthly Quota

Use Cases

Limitations & Considerations

Community Hub

Quick Reactions

Add Discussion

Recent Activity

Suggest an Edit

Ready to Get Started?