Overview

Provider Type

API

API Endpoint


                                                        https://gateway.vlm.run/v1/openai

Free Tier Highlights

Anonymous: 10/min30/hr per IP; with free key: 240/min10000/hr

Quick Start Guide

1

Optionally sign up at app.vlm.run and copy a key

2

set base URL https://gateway.vlm.run/v1/openai (key "vlmrun" for anonymous use)

3

pick a model from GET /models

Available Models

Model Name	ID	Context	Capabilities
Qwen3.8 27B Free	`qwen/qwen3.8-27b`	168 000 Context	-
Gemma 4 26B A4B IT Free	`google/gemma4-26b-a4b-it`	82 000 Context	-
Qwen3.5 0.8B Free	`qwen/qwen3.5-0.8b`	82 000 Context	-
DiffusionGemma 26B A4B Free	`google/diffusiongemma-26b-a4b-it`	82 000 Context	-
GLM OCR Free	`zai-org/glm-ocr`	8 000 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_VLM_RUN_KEY",
    base_url="https://gateway.vlm.run/v1/openai"
)

response = client.chat.completions.create(
    model="qwen/qwen3.8-27b",
    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_VLM_RUN_KEY',
  baseURL: 'https://gateway.vlm.run/v1/openai'
});

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

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

terminal

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

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://gateway.vlm.run/v1/openai/models/qwen/qwen3.8-27b:generateContent?key=$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("qwen/qwen3.8-27b")
    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_VLM_RUN_KEY",
    base_url="https://gateway.vlm.run/v1/openai"
)

response = client.chat.completions.create(
    model="google/gemma4-26b-a4b-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_VLM_RUN_KEY',
  baseURL: 'https://gateway.vlm.run/v1/openai'
});

const response = await client.chat.completions.create({
  model: 'google/gemma4-26b-a4b-it',
  messages: [
    { role: 'user', content: 'Give me three tips for writing clean code.' }
  ]
});

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

terminal

curl https://gateway.vlm.run/v1/openai/chat/completions \
  -H "Authorization: Bearer YOUR_VLM_RUN_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/gemma4-26b-a4b-it",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://gateway.vlm.run/v1/openai/models/google/gemma4-26b-a4b-it:generateContent?key=$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/gemma4-26b-a4b-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_VLM_RUN_KEY",
    base_url="https://gateway.vlm.run/v1/openai"
)

response = client.chat.completions.create(
    model="qwen/qwen3.5-0.8b",
    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_VLM_RUN_KEY',
  baseURL: 'https://gateway.vlm.run/v1/openai'
});

const response = await client.chat.completions.create({
  model: 'qwen/qwen3.5-0.8b',
  messages: [
    { role: 'user', content: 'Give me three tips for writing clean code.' }
  ]
});

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

terminal

curl https://gateway.vlm.run/v1/openai/chat/completions \
  -H "Authorization: Bearer YOUR_VLM_RUN_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3.5-0.8b",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://gateway.vlm.run/v1/openai/models/qwen/qwen3.5-0.8b:generateContent?key=$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/qwen3.5-0.8b")
    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_VLM_RUN_KEY",
    base_url="https://gateway.vlm.run/v1/openai"
)

response = client.chat.completions.create(
    model="google/diffusiongemma-26b-a4b-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_VLM_RUN_KEY',
  baseURL: 'https://gateway.vlm.run/v1/openai'
});

const response = await client.chat.completions.create({
  model: 'google/diffusiongemma-26b-a4b-it',
  messages: [
    { role: 'user', content: 'Give me three tips for writing clean code.' }
  ]
});

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

terminal

curl https://gateway.vlm.run/v1/openai/chat/completions \
  -H "Authorization: Bearer YOUR_VLM_RUN_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/diffusiongemma-26b-a4b-it",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://gateway.vlm.run/v1/openai/models/google/diffusiongemma-26b-a4b-it:generateContent?key=$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/diffusiongemma-26b-a4b-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_VLM_RUN_KEY",
    base_url="https://gateway.vlm.run/v1/openai"
)

response = client.chat.completions.create(
    model="zai-org/glm-ocr",
    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_VLM_RUN_KEY',
  baseURL: 'https://gateway.vlm.run/v1/openai'
});

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

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

terminal

curl https://gateway.vlm.run/v1/openai/chat/completions \
  -H "Authorization: Bearer YOUR_VLM_RUN_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "zai-org/glm-ocr",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://gateway.vlm.run/v1/openai/models/zai-org/glm-ocr:generateContent?key=$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-org/glm-ocr")
    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

Anonymous: 10/min30/hr per IP; with free key: 240/min10000/hr

Daily Quota

Requests per day

Anonymous: 100 requests/day per IP

Free Credits

One-time, then pay-as-you-go

100 free credits on sign-up (~$1at $0.01/credit)

Use Cases

OCR and document extraction prototypes

quick VQA/vision tests without signup

Limitations & Considerations

Small credit, after which billing is pay-as-you-go

the docs warn the anonymous tier may tighten at general availability

Community Hub

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Join the discussion, share tips, and rate VLM Run Gateway.

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Recent Activity

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Cookie Consent

VLM Run Gateway

Overview

Provider Type

API Endpoint

Free Tier Highlights

Why Choose VLM Run Gateway?

Quick Start Guide

Optionally sign up at app.vlm.run and copy a key

set base URL https://gateway.vlm.run/v1/openai (key "vlmrun" for anonymous use)

pick a model from GET /models

Available Models

Integration Examples

Select Model

Free Tier Pricing & Limits

Rate Limit

Daily Quota

Free Credits

Use Cases

Limitations & Considerations

Community Hub

Quick Reactions

Add Discussion

Recent Activity

Ready to Get Started?

Cookie Consent

VLM Run Gateway

Overview

Provider Type

API Endpoint

Free Tier Highlights

Why Choose VLM Run Gateway?

Quick Start Guide

Optionally sign up at app.vlm.run and copy a key

set base URL https://gateway.vlm.run/v1/openai (key "vlmrun" for anonymous use)

pick a model from GET /models

Available Models

Integration Examples

Select Model

Free Tier Pricing & Limits

Rate Limit

Daily Quota

Free Credits

Use Cases

Limitations & Considerations

Community Hub

Quick Reactions

Add Discussion

Recent Activity

Suggest an Edit

Report an Issue

Ready to Get Started?