Privateer

Motif 3

by Motif Technologies

New
motif-technologies/motif-3
Use it in the app Call it from code
Input
$0.42/1M tokens
Output
$1.68/1M tokens
Context
262Ktokens
Max output
236Ktokens
Knows to
-
Released
2 Nov 2026

About

Motif 3 is a Mixture-of-Experts language model from Motif Technologies, with 314B total and 13.2B active parameters.

Pricing

Input$0.42per 1M prompt tokens
Output$1.68per 1M generated tokens, reasoning included
Cached input$0.08per 1M tokens read back from the prompt cache

What a request costs

Typical requestEachPer 1,000
Short chat reply1,500 in · 400 out$0.0013$1.30
Question over a long document40,000 in · 800 out$0.018$18.14
Agent tool step20,000 in · 1,200 out$0.010$10.42

At the developer-API rate, before any provider promotion or prompt-cache saving. In the app, the model picker shows what a message costs on your plan before you send it.

Benchmarks

Coding63.5#39 of 123
Agentic28.4#37 of 100

Scores from Artificial Analysis; bars are scaled to the best model on our list. Published by OpenRouter alongside its catalogue.

Call it from code

OpenAI-compatible: point any OpenAI SDK at https://api.privateer.pro/v1 and set model. Keys are created in the app under Settings.

cURL
curl https://api.privateer.pro/v1/chat/completions \
  -H "Authorization: Bearer $PRIVATEER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "motif-technologies/motif-3",
    "messages": [{ "role": "user", "content": "Hello" }]
  }'
Python
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.privateer.pro/v1",
    api_key=os.environ["PRIVATEER_API_KEY"],
)
reply = client.chat.completions.create(
    model="motif-technologies/motif-3",
    messages=[{"role": "user", "content": "Hello"}],
)
print(reply.choices[0].message.content)
JavaScript
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.privateer.pro/v1",
  apiKey: process.env.PRIVATEER_API_KEY,
});
const reply = await client.chat.completions.create({
  model: "motif-technologies/motif-3",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(reply.choices[0].message.content);

Parameters this model accepts

frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningrepetition_penaltyresponse_formatstructured_outputstemperaturetop_ktop_logprobstop_p

API reference → · How API billing works →

Prices are USD at the developer-API rate, as of 11 Nov 2026, rebuilt daily from the providers’ live catalogues. ← All models