Models

Tributary gives you access to 270+ models from 40+ organizations through a single API.

All models are accessed through the same OpenAI-compatible endpoint. The only thing that changes between providers is the model parameter.

Model ID format

Model IDs follow the format org:model, where org is the organization slug and model is the model slug.

google:gemma-4-26b-a4b-it
google:gemma-4-31b-it
z-ai:glm-5v-turbo
arcee:trinity-large-thinking

You can browse the full catalog on the models page, or query it programmatically using the /openai/v1/models endpoint below.

Response format

The GET /openai/v1/models endpoint returns an OpenAI-compatible list of all available models. No authentication is required (you're welcome!)

{
  "object": "list",
  "data": [
    {
      "id": "google:gemma-4-26b-a4b-it",
      "object": "model",
      "created": 1775113200,
      "owned_by": "google"
    },
    "..."
  ]
}

1. List all models

Fetch every available model from the Tributary API.

import OpenAI from "openai";

const client = new OpenAI({
    baseURL: "https://api.tributary.cc/openai/v1",
    apiKey: "<TRIBUTARY_API_KEY>",
});

const models = await client.models.list();

for (const model of models.data) {
    console.log(model.id, model.owned_by);
}

2. Use a model

Pass any model ID from the list to make a chat completion request.

const completion = await client.chat.completions.create({
    model: "anthropic:claude-opus-4.6",
    messages: [
        { role: "user", content: "Hello!" }
    ],
});

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

1. List all models

Fetch every available model from the Tributary API.

const response = await fetch("https://api.tributary.cc/openai/v1/models");
const data = await response.json();

for (const model of data.data) {
    console.log(model.id, model.owned_by);
}

1. List all models

Fetch every available model from the Tributary API.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.tributary.cc/openai/v1",
    api_key="<TRIBUTARY_API_KEY>",
)

models = client.models.list()

for model in models.data:
    print(model.id, model.owned_by)

2. Use a model

Pass any model ID from the list to make a chat completion request.

completion = client.chat.completions.create(
    model="anthropic:claude-opus-4.6",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(completion.choices[0].message.content)

1. List all models

Fetch every available model from the Tributary API.

import requests

response = requests.get("https://api.tributary.cc/openai/v1/models")

for model in response.json()["data"]:
    print(model["id"], model["owned_by"])