Overview

Provider Type

API

API Endpoint


                                                        https://api.meganova.ai/v1

Free Tier Highlights

Tier 1 (free): 20-200 RPM

Quick Start Guide

1

Register at meganova.ai

2

create a key at meganova.ai/api-keys

3

call https://api.meganova.ai/v1 with a $0 model id

Available Models

Model Name	ID	Context	Capabilities
Manta Pro 1.0 Free	`meganova-ai/manta-pro-1.0`	65 000 Context	-
Manta Flash 1.0 Free	`meganova-ai/manta-flash-1.0`	16 000 Context	-
Manta Mini 1.0 Free	`meganova-ai/manta-mini-1.0`	8 000 Context	-
Mistral Small 3.2 24B Free	`mistralai/Mistral-Small-3.2-24B-Instruct-2506`	8 000 Context	-
L3.3 MS Nevoria 70B Free	`Steelskull/L3.3-MS-Nevoria-70b`	65 000 Context	-
L3 70B Euryale v2.1 Free	`Sao10K/L3-70B-Euryale-v2.1`	8 000 Context	-
GLM 4.7 Flash (needs $1 top-up per third-party list) Free	`zai-org/GLM-4.7-Flash`	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_MEGANOVA_KEY",
    base_url="https://api.meganova.ai/v1"
)

response = client.chat.completions.create(
    model="meganova-ai/manta-pro-1.0",
    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_MEGANOVA_KEY',
  baseURL: 'https://api.meganova.ai/v1'
});

const response = await client.chat.completions.create({
  model: 'meganova-ai/manta-pro-1.0',
  messages: [
    { role: 'user', content: 'Give me three tips for writing clean code.' }
  ]
});

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

terminal

curl https://api.meganova.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_MEGANOVA_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meganova-ai/manta-pro-1.0",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://api.meganova.ai/v1/models/meganova-ai/manta-pro-1.0:generateContent?key=$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("meganova-ai/manta-pro-1.0")
    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_MEGANOVA_KEY",
    base_url="https://api.meganova.ai/v1"
)

response = client.chat.completions.create(
    model="meganova-ai/manta-flash-1.0",
    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_MEGANOVA_KEY',
  baseURL: 'https://api.meganova.ai/v1'
});

const response = await client.chat.completions.create({
  model: 'meganova-ai/manta-flash-1.0',
  messages: [
    { role: 'user', content: 'Give me three tips for writing clean code.' }
  ]
});

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

terminal

curl https://api.meganova.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_MEGANOVA_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meganova-ai/manta-flash-1.0",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://api.meganova.ai/v1/models/meganova-ai/manta-flash-1.0:generateContent?key=$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("meganova-ai/manta-flash-1.0")
    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_MEGANOVA_KEY",
    base_url="https://api.meganova.ai/v1"
)

response = client.chat.completions.create(
    model="meganova-ai/manta-mini-1.0",
    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_MEGANOVA_KEY',
  baseURL: 'https://api.meganova.ai/v1'
});

const response = await client.chat.completions.create({
  model: 'meganova-ai/manta-mini-1.0',
  messages: [
    { role: 'user', content: 'Give me three tips for writing clean code.' }
  ]
});

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

terminal

curl https://api.meganova.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_MEGANOVA_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meganova-ai/manta-mini-1.0",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://api.meganova.ai/v1/models/meganova-ai/manta-mini-1.0:generateContent?key=$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("meganova-ai/manta-mini-1.0")
    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_MEGANOVA_KEY",
    base_url="https://api.meganova.ai/v1"
)

response = client.chat.completions.create(
    model="mistralai/Mistral-Small-3.2-24B-Instruct-2506",
    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_MEGANOVA_KEY',
  baseURL: 'https://api.meganova.ai/v1'
});

const response = await client.chat.completions.create({
  model: 'mistralai/Mistral-Small-3.2-24B-Instruct-2506',
  messages: [
    { role: 'user', content: 'Give me three tips for writing clean code.' }
  ]
});

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

terminal

curl https://api.meganova.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_MEGANOVA_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistralai/Mistral-Small-3.2-24B-Instruct-2506",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://api.meganova.ai/v1/models/mistralai/Mistral-Small-3.2-24B-Instruct-2506:generateContent?key=$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("mistralai/Mistral-Small-3.2-24B-Instruct-2506")
    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_MEGANOVA_KEY",
    base_url="https://api.meganova.ai/v1"
)

response = client.chat.completions.create(
    model="Steelskull/L3.3-MS-Nevoria-70b",
    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_MEGANOVA_KEY',
  baseURL: 'https://api.meganova.ai/v1'
});

const response = await client.chat.completions.create({
  model: 'Steelskull/L3.3-MS-Nevoria-70b',
  messages: [
    { role: 'user', content: 'Give me three tips for writing clean code.' }
  ]
});

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

terminal

curl https://api.meganova.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_MEGANOVA_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Steelskull/L3.3-MS-Nevoria-70b",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://api.meganova.ai/v1/models/Steelskull/L3.3-MS-Nevoria-70b:generateContent?key=$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("Steelskull/L3.3-MS-Nevoria-70b")
    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_MEGANOVA_KEY",
    base_url="https://api.meganova.ai/v1"
)

response = client.chat.completions.create(
    model="Sao10K/L3-70B-Euryale-v2.1",
    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_MEGANOVA_KEY',
  baseURL: 'https://api.meganova.ai/v1'
});

const response = await client.chat.completions.create({
  model: 'Sao10K/L3-70B-Euryale-v2.1',
  messages: [
    { role: 'user', content: 'Give me three tips for writing clean code.' }
  ]
});

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

terminal

curl https://api.meganova.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_MEGANOVA_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Sao10K/L3-70B-Euryale-v2.1",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://api.meganova.ai/v1/models/Sao10K/L3-70B-Euryale-v2.1:generateContent?key=$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("Sao10K/L3-70B-Euryale-v2.1")
    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_MEGANOVA_KEY",
    base_url="https://api.meganova.ai/v1"
)

response = client.chat.completions.create(
    model="zai-org/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_MEGANOVA_KEY',
  baseURL: 'https://api.meganova.ai/v1'
});

const response = await client.chat.completions.create({
  model: 'zai-org/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.meganova.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_MEGANOVA_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "zai-org/GLM-4.7-Flash",
    "messages": [
      {"role": "user", "content": "Give me three tips for writing clean code."}
    ]
  }'

example.php

<?php
$apiKey = 'YOUR_API_KEY';
$url = "https://api.meganova.ai/v1/models/zai-org/GLM-4.7-Flash:generateContent?key=$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-org/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

Tier 1 (free): 20-200 Requests per minute

Daily Quota

Requests per day

Tier 1: 50-500 free-model requests/day (varies by model)

Use Cases

Role-play and creative writing apps

free fallback chat model

Limitations & Considerations

Free tier excludes paid models entirely

ranges given rather than exact per-model limits

free models mostly 8K-65K context

Community Hub

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Cookie Consent

MegaNova AI

Overview

Provider Type

API Endpoint

Free Tier Highlights

Why Choose MegaNova AI?

Quick Start Guide

Register at meganova.ai

create a key at meganova.ai/api-keys

call https://api.meganova.ai/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

MegaNova AI

Overview

Provider Type

API Endpoint

Free Tier Highlights

Why Choose MegaNova AI?

Quick Start Guide

Register at meganova.ai

create a key at meganova.ai/api-keys

call https://api.meganova.ai/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?