Open Source LLMs, One API — Start Free with Kyma

The Problem: LLMs Are Fragmented

You want to use open-source LLMs in production. But your options are painful.

You could go straight to each model author — Google for Gemini, DeepSeek for reasoning, Alibaba for Qwen. But that means juggling separate API keys, learning each portal's rate limits, and rewriting your code every time one of them is down.

You could use a generic LLM aggregator. But most are text-only, lock you into whatever model menu they ship, and leave you eating the cost of failed upstream calls.

Or you bite the bullet and use closed models from OpenAI or Anthropic. Fine if you have the budget. But if you're building a startup, demo, or side project, every token counts.

What Kyma Does

Kyma API gives you one endpoint to 60+ models — not just text, but image, video, and voice too. Sign up, get $0.50 free credits (around 1000 requests), and start using models like:

• •DeepSeek V3 — GPT-5 class reasoning, $0.81 per 1M input tokens
• •Qwen 3.6 Plus — Most popular model on Kyma, best all-around quality
• •Llama 3.3 70B — Open-weight champion, available instantly
• •Gemini 2.5 Flash — 1M context window for processing entire books at once

Every request is OpenAI-compatible. Drop-in replacement for existing code. No vendor lock-in.

How It Works

1. •Sign up at kymaapi.com — takes 30 seconds
2. •Get $0.50 in free credits
3. •Use any model through the same API endpoint
4. •Pay per token after credits run out

No hidden fees. No monthly minimums. No commitments.

Three Quick Examples

from openai import OpenAI

client = OpenAI(
    base_url="https://kymaapi.com/v1",
    api_key="your-key-here"
)

response = client.chat.completions.create(
    model="deepseek-v3",
    messages=[{"role": "user", "content": "Explain quantum computing in 2 sentences"}]
)
print(response.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://kymaapi.com/v1",
  apiKey: "your-key-here",
});

const response = await client.chat.completions.create({
  model: "qwen-3.6-plus",
  messages: [{ role: "user", content: "Hello world" }],
});
console.log(response.choices[0].message.content);

curl https://kymaapi.com/v1/chat/completions \
  -H "Authorization: Bearer your-key-here" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-2.5-flash",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Why Developers Choose Kyma

Tip: New to Kyma? Start with qwen-3.6-plus (most popular) or deepseek-v3 (best value for quality).

What's Included

• •60+ models across text, image, video, and voice — from fast inference to frontier-class reasoning
• •Multi-provider redundancy — if one provider is down, your request automatically retries on another
• •OpenAI SDK compatibility — works with Python openai, JavaScript OpenAI library, and any tool that speaks OpenAI format
• •Prompt caching — 90% discount on cached tokens (compatible with supported upstream caches, including Google Gemini)
• •Agent & tool support — call functions, use structured output, agentic workflows
• •1M context models — Gemini 2.5 Flash for processing books, codebases, datasets

Pricing

• •Free credits: $0.50 on signup (about 1000 typical requests)
• •Pay as you go: Once credits run out, pay-per-token pricing based on token count
• •All-in pricing: one per-token rate, no separate platform fee, no monthly minimum
• •No hidden fees: Only pay for what you use

See full pricing at kymaapi.com/models.

Who's Using Kyma

• •Code agents: OpenClaw, Roo Code, Cline, Claude Code
• •Startups: Shipping fast without big cloud budgets
• •Individual developers: Building projects, experimenting with LLMs
• •Enterprises: Evaluating open models before committing to closed APIs

Get Started

Head to kymaapi.com — sign up, get your API key, and start using open-source LLMs instantly.

Read the quickstart guide for a step-by-step walkthrough (takes 5 minutes).

Questions? Check out model recommendations or the API reference.