Overview

Provider Type

Proxy

API Endpoint


                                                        https://llmtr.com/v1

Free Tier Highlights

Not published; lower allowance in an account's first 24h

Quick Start Guide

1

Register at llmtr.com

2

create a key at llmtr.com/dashboard/api-keys

3

call https://llmtr.com/v1 with a $0 model id

Available Models

Model Name	ID	Context	Capabilities
Nemotron 3 Ultra 550B Free	`nvidia/nemotron-3-ultra-550b-a55b`	1 000 000 Context	-
Nemotron 3.5 Super VL (free) Free	`nvidia/nemotron-3.5-super-vl-free`	1 000 000 Context	-
Qwen3.8 27B (free) Free	`qwen/qwen3.8-27b-free`	131 000 Context	-
Agnes 3.0 Flash Free	`agnes/agnes-3.0-flash`	524 000 Context	-
Agnes 2.5 Flash Free	`agnes/agnes-2.5-flash`	524 000 Context	-
GPT-OSS Safeguard 20B Free	`openai/gpt-oss-safeguard-20b`	131 000 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_LLMTR_KEY",
    base_url="https://llmtr.com/v1"
)

response = client.chat.completions.create(
    model="nvidia/nemotron-3-ultra-550b-a55b",
    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_LLMTR_KEY',
  baseURL: 'https://llmtr.com/v1'
});

const response = await client.chat.completions.create({
  model: 'nvidia/nemotron-3-ultra-550b-a55b',
  messages: [
    { role: 'user', content: 'Give me three tips for writing clean code.' }
  ]
});

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

terminal

curl https://llmtr.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_LLMTR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nvidia/nemotron-3-ultra-550b-a55b",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://llmtr.com/v1/models/nvidia/nemotron-3-ultra-550b-a55b:generateContent?key=$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("nvidia/nemotron-3-ultra-550b-a55b")
    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_LLMTR_KEY",
    base_url="https://llmtr.com/v1"
)

response = client.chat.completions.create(
    model="nvidia/nemotron-3.5-super-vl-free",
    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_LLMTR_KEY',
  baseURL: 'https://llmtr.com/v1'
});

const response = await client.chat.completions.create({
  model: 'nvidia/nemotron-3.5-super-vl-free',
  messages: [
    { role: 'user', content: 'Give me three tips for writing clean code.' }
  ]
});

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

terminal

curl https://llmtr.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_LLMTR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nvidia/nemotron-3.5-super-vl-free",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://llmtr.com/v1/models/nvidia/nemotron-3.5-super-vl-free:generateContent?key=$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("nvidia/nemotron-3.5-super-vl-free")
    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_LLMTR_KEY",
    base_url="https://llmtr.com/v1"
)

response = client.chat.completions.create(
    model="qwen/qwen3.8-27b-free",
    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_LLMTR_KEY',
  baseURL: 'https://llmtr.com/v1'
});

const response = await client.chat.completions.create({
  model: 'qwen/qwen3.8-27b-free',
  messages: [
    { role: 'user', content: 'Give me three tips for writing clean code.' }
  ]
});

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

terminal

curl https://llmtr.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_LLMTR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3.8-27b-free",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://llmtr.com/v1/models/qwen/qwen3.8-27b-free:generateContent?key=$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/qwen3.8-27b-free")
    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_LLMTR_KEY",
    base_url="https://llmtr.com/v1"
)

response = client.chat.completions.create(
    model="agnes/agnes-3.0-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_LLMTR_KEY',
  baseURL: 'https://llmtr.com/v1'
});

const response = await client.chat.completions.create({
  model: 'agnes/agnes-3.0-flash',
  messages: [
    { role: 'user', content: 'Give me three tips for writing clean code.' }
  ]
});

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

terminal

curl https://llmtr.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_LLMTR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "agnes/agnes-3.0-flash",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://llmtr.com/v1/models/agnes/agnes-3.0-flash:generateContent?key=$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("agnes/agnes-3.0-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_LLMTR_KEY",
    base_url="https://llmtr.com/v1"
)

response = client.chat.completions.create(
    model="agnes/agnes-2.5-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_LLMTR_KEY',
  baseURL: 'https://llmtr.com/v1'
});

const response = await client.chat.completions.create({
  model: 'agnes/agnes-2.5-flash',
  messages: [
    { role: 'user', content: 'Give me three tips for writing clean code.' }
  ]
});

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

terminal

curl https://llmtr.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_LLMTR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "agnes/agnes-2.5-flash",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://llmtr.com/v1/models/agnes/agnes-2.5-flash:generateContent?key=$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("agnes/agnes-2.5-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_LLMTR_KEY",
    base_url="https://llmtr.com/v1"
)

response = client.chat.completions.create(
    model="openai/gpt-oss-safeguard-20b",
    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_LLMTR_KEY',
  baseURL: 'https://llmtr.com/v1'
});

const response = await client.chat.completions.create({
  model: 'openai/gpt-oss-safeguard-20b',
  messages: [
    { role: 'user', content: 'Give me three tips for writing clean code.' }
  ]
});

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

terminal

curl https://llmtr.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_LLMTR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-oss-safeguard-20b",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://llmtr.com/v1/models/openai/gpt-oss-safeguard-20b:generateContent?key=$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-safeguard-20b")
    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

Not published; lower allowance in an account's first 24h

Daily Quota

Requests per day

Per-model daily allowance (e.g. 200 000 tokens/day on dated previews)

Use Cases

Free access to large NVIDIA models

trying new preview models

Limitations & Considerations

Daily allowances mostly unpublished

some previews need a prior top-up and expire on set dates

free Nemotron VL inputs may be used for training

Community Hub

Live

Join the discussion, share tips, and rate LLMTR.

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Recent Activity

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Cookie Consent

LLMTR

Overview

Provider Type

API Endpoint

Free Tier Highlights

Why Choose LLMTR?

Quick Start Guide

Register at llmtr.com

create a key at llmtr.com/dashboard/api-keys

call https://llmtr.com/v1 with a $0 model id

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

LLMTR

Overview

Provider Type

API Endpoint

Free Tier Highlights

Why Choose LLMTR?

Quick Start Guide

Register at llmtr.com

create a key at llmtr.com/dashboard/api-keys

call https://llmtr.com/v1 with a $0 model id

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?