Leading language models. One API.

Switch models without rewriting your integration. Manage keys, credits, and usage in one place for side projects, AI products, and agent workflows.

Explore models
Pay for actual tokensCredits available instantlySwitch models anytime
Python · OpenAI SDK
from openai import OpenAI

client = OpenAI(
  api_key="$COPPERSKY_API_KEY",
  base_url="https://api.coppersky.ai/v1"
)

response = client.chat.completions.create(
  model="Qwen3.6-Plus",
  messages=[{"role": "user", "content": "Hello"}]
)

Compatible with Chat Completions requests

One endpoint

One auth and request format

Easy switching

Change a single model parameter

Visible usage

Balance and spend in one place

Resettable keys

Invalidate a leaked key instantly

MODEL CATALOG

Choose per task. Do not bet on one provider.

Use different models for everyday chat, hard reasoning, code, and visual understanding. Your credits work across the connected LLM catalog.

Top reasoningANTHROPIC

Claude Opus 5

Anthropic's most powerful reasoning model, excels at complex tasks, long document analysis, and multi-step planning.

Good for

Complex reasoning, system design, deep analysis, code review

API

These models come from the catalog already present in this project. Production names, regions, and prices should be returned by the model commerce API.

OPENAI-COMPATIBLE API

Keep your code. Change two settings.

Use the OpenAI SDK you already know. Replace the API key and base URL, then choose a model for each task—no separate client for every provider.

1

Create an account and buy credits

Credits work across connected language, image, and video models.

2

Generate an API key

The full key is shown once. Reset it anytime if it is exposed.

3

Replace your connection settings

Keep your SDK and update api_key, base_url, and model.

Python · OpenAI SDK
from openai import OpenAI

client = OpenAI(
  api_key="$COPPERSKY_API_KEY",
  base_url="https://api.coppersky.ai/v1"
)

response = client.chat.completions.create(
  model="Qwen3.6-Plus",
  messages=[{"role": "user", "content": "Hello"}]
)

Compatible with Chat Completions requests

CREDIT PACKS

Start small. Top up when you need more.

Credits are not locked to one LLM. Switch models per task and pay according to the usage recorded for each request.

Starter

$4.90

For the first integration and small tests.

  • 1,000 credits included
  • Works across connected LLMs
  • API key and usage history
  • Also works for image and video models
Best for ongoing use

Pro

$34.90

For active development and repeated evaluation.

  • 5,000 credits included
  • Works across connected LLMs
  • API key and usage history
  • Also works for image and video models

Team

$69.90

For high-usage projects and small teams.

  • 10,000 credits included
  • Works across connected LLMs
  • API key and usage history
  • Also works for image and video models

Plans shown here are currently available. Final credits and payment amount are confirmed at checkout.

What teams ask before connecting

The short version on billing, compatibility, and key management.

How is a request priced?

LLM usage is billed from actual input and output tokens. Rates may differ by model, and the usage log shows the credits consumed by each completed request.

Can I use the OpenAI SDK directly?

Yes. In most cases you only replace the API key, base URL, and model parameter. The production API docs define the exact endpoints supported.

Can one credit balance call different models?

Yes. Connected LLMs share the same account balance, which also works for image and video models.

What if my API key leaks?

Reset it after signing in. The old key becomes invalid immediately, and the new full key is shown once.

Run your first request

Start with a small credit pack, get a key, and connect your existing project.