Inference, without the sprawl

More models.
Less friction.

Put DeepSeek, Qwen, GLM, Kimi and MiniMax behind one API. Keep your tools. Choose how you pay.

OpenAI-compatible API · PAYG + optional plans

DeepSeekQwenZhipuKimiMiniMax
One integration

Your stack.
A wider choice.

Use the OpenAI-compatible endpoint to call supported models. Model capabilities still vary; choose the right fit for each task.

01

Change the model, not the workflow.

A common API surface for experimenting with different models in your existing application.

02

See the price before the prompt.

Compare input and output rates side by side, then estimate the cost of your workload.

03

Pay for the way you build.

Use a prepaid balance for variable demand, or explore a plan for regular coding and agent work.

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.synet.run/v1",
    api_key=os.environ["SYNET_API_KEY"]
)

response = client.chat.completions.create(
    model="deepseek/deepseek-v4-flash",
    messages=[{"role": "user",
               "content": "Review this function."}]
)

Example only. Requires an account, API key and an available model.

OpenAI, Anthropic and Gemini SDKs all work unchanged — point the client at Synet and keep your existing code.

Pick your starting point

Open models.
Your Key.

Compare all 12 listed models
DeepSeek / 1M context

DeepSeek-V4-Flash

Input
$0.09
Output
$0.18

USD per 1M tokens

Inspect model →

Less setup.
More building.

Try a model, compare the cost, then choose your pace.

Find your plan

Preview, not checkout.