Ornith 1.0

Name: Ornith 1.0
Author: DeepReinforce

by DeepReinforce Chat · Tools · Thinking

Ornith 1.0 is DeepReinforce's hybrid-reasoning model, designed to combine deliberate step-by-step thinking with efficient long-context inference. It supports tool use and is offered in two sizes for different quality-versus-cost trade-offs.

Publisher: DeepReinforce (opens in a new tab)
API model name: ornith:9b
Context window: 256K tokens
Sizes: 9B, 35B
Licence: MIT

Run Ornith 1.0

Install it on a Pendra worker, then call it through our SDK with your pdr_sk_ API key.

Read the quickstart

from pendra import Pendra

client = Pendra(api_key="pdr_sk_...")

response = client.chat.completions.create(
    model="ornith:9b",
    messages=[{"role": "user", "content": "Hello!"}],
)

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

import { Pendra } from "pendra";

const client = new Pendra({ apiKey: "pdr_sk_..." });

const response = await client.chat.completions.create({
  model: "ornith:9b",
  messages: [{ role: "user", content: "Hello!" }],
});

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

Related models

Ornith 1.5

DeepReinforce ornith-1.5

Ornith 1.5 is DeepReinforce's second-generation reasoning model, trained through a self-improvement loop in which the model proposes its own tasks, builds the scaffolding to solve them, and learns from the resulting rollouts. It reasons step by step before answering, calls tools natively, and reads images as well as text. A 262K-token context and a choice of dense 9B or sparse 35B and 122B sizes suit it to long agentic coding and research work.

Chat · Vision · Tools · Thinking

9B · 35B · 122B 256K context

Run Ornith 1.0 on infrastructure you trust.

Deploy a worker, install Ornith 1.0, and start serving it through one private API.

Try it free Read the quickstart