For Content Creators

Write better content
with AI models

Blog posts, Facebook ads, social media, SEO articles: powered by Kyma's active model catalog. Choose a model for your language and task. Pay per use.

Multilingual writing

Draft ads, blog posts and social copy with Qwen 3.6 Plus. Review facts and tone before publishing.

Batch Generation

Use a script to draft posts or product descriptions in batches, within your account limits.

Multi-Platform

Adapt the same idea for social posts, your blog, product pages and email.

Best Models for Content

Examples for writing workflows. Compare current pricing and measured uptime on each model page.

1
Qwen 3.6 PlusVision input

Supports reasoning, tool use, vision input. Compare current prices and measured uptime on the model page.

qwen-3.6-plus

Reasoning

2
Gemini 3 FlashVision input

Supports reasoning, tool use, vision input. Compare current prices and measured uptime on the model page.

gemini-3-flash

Reasoning

3
Llama 3.3 70BTool use

Supports tool use. Compare current prices and measured uptime on the model page.

llama-3.3-70b

Tool use

4
Gemma 4 31BVision input

Supports reasoning, tool use, vision input. Compare current prices and measured uptime on the model page.

gemma-4-31b

Reasoning

5
GPT-OSS 120BTool use

Supports reasoning, tool use. Compare current prices and measured uptime on the model page.

gpt-oss-120b

Reasoning

Ready-to-Use Templates

Install the OpenAI Python SDK, add your API key and customize a template for your audience.

📝Blog Post Generator
from openai import OpenAI

client = OpenAI(
    base_url="https://kymaapi.com/v1",
    api_key="kyma-xxxxx"  # your Kyma key
)

response = client.chat.completions.create(
    model="qwen-3.6-plus",
    messages=[
        {"role": "system", "content": "You are a copywriter. Write clear, engaging copy in the requested tone."},
        {"role": "user", "content": "Write an 800-word blog post about [topic]."}
    ]
)
📢Facebook Ads
from openai import OpenAI

client = OpenAI(
    base_url="https://kymaapi.com/v1",
    api_key="kyma-xxxxx"  # your Kyma key
)

response = client.chat.completions.create(
    model="qwen-3.6-plus",
    messages=[
        {"role": "system", "content": "Write concise Facebook ad copy with a clear opening and call to action."},
        {"role": "user", "content": "Write three ad variations for [product or service]."}
    ]
)
📱Social Media Batch
from openai import OpenAI

client = OpenAI(
    base_url="https://kymaapi.com/v1",
    api_key="kyma-xxxxx"
)

# Batch generate content for the week
platforms = ["Facebook", "Instagram", "TikTok", "LinkedIn"]
for platform in platforms:
    response = client.chat.completions.create(
        model="gemma-4-31b",  # drafting
        messages=[{"role": "user", "content": f"Write a {platform} post about [topic]. Match the tone to {platform}."}]
    )
    print(f"--- {platform} ---")
    print(response.choices[0].message.content)
🔍SEO Article
from openai import OpenAI

client = OpenAI(
    base_url="https://kymaapi.com/v1",
    api_key="kyma-xxxxx"
)

response = client.chat.completions.create(
    model="gemini-3-flash",  # 1M context for research
    messages=[
        {"role": "system", "content": "Write a useful article with clear headings and source-backed claims. Do not invent facts."},
        {"role": "user", "content": "Outline and write a 1500-word article about [topic] for [audience]."}
    ],
    max_tokens=4096
)
✉️Email Marketing
from openai import OpenAI

client = OpenAI(
    base_url="https://kymaapi.com/v1",
    api_key="kyma-xxxxx"
)

response = client.chat.completions.create(
    model="llama-3.3-70b",
    messages=[
        {"role": "system", "content": "Write marketing emails with a clear subject, concise body and call to action."},
        {"role": "user", "content": "Write a three-email sequence introducing [product] to prospective customers."}
    ]
)
🛍️Product Description
from openai import OpenAI

client = OpenAI(
    base_url="https://kymaapi.com/v1",
    api_key="kyma-xxxxx"
)

# Batch product descriptions
products = ["Cotton T-shirt", "Sneakers", "Leather bag"]
for product in products:
    response = client.chat.completions.create(
        model="gemma-4-31b",  # batch drafting
        messages=[{"role": "user", "content": f"Write a 150-word product description for '{product}'. Explain its benefits without inventing specifications."}]
    )
    print(response.choices[0].message.content)

What can you draft?

📢 Ad variations

Draft different openings and calls to action, then test them with your audience.

📝 Blog & SEO

Organize an article with headings, sources and useful internal links.

🛍️ Product descriptions

Turn verified product details into descriptions for your store.

🎬 Video and audio scripts

TikTok scripts, YouTube outlines, podcast notes, audio drama.

Start drafting with Kyma API

$0.50 signup credit for eligible free-tier models after email verification. No card required.

Create account

Explore more

Dig into the models powering content workflows and compare them side by side.