Inkling 2 Small

by Thinkingmachines

Zero data retention−5%New

thinkingmachines/inkling-2-small

Input: $0.42/1M tokens
Output: $1.40/1M tokens
Context: 1Mtokens
Max output: 944Ktokens
Knows to: -
Released: 9 Nov 2026

About

Inkling 2 Small is an open-weight multimodal mixture-of-experts reasoning model from Thinking Machines Lab, with 17B active parameters out of 594B total.

Pricing

Input	$0.42 from $0.21	per 1M prompt tokens
Output	$1.40 from $0.70	per 1M generated tokens, reasoning included
Cached input	$0.04	per 1M tokens read back from the prompt cache

5% off right now. The provider is running a promotion, and the developer API bills what the provider actually charged for your call plus our flat markup, so it reaches your bill with nothing to claim. The “from” figure is the cheapest endpoint serving the model; which one answers is the provider’s routing decision, so treat it as a floor. Promotions can end at any time.

What a request costs

Typical request	Each	Per 1,000
Short chat reply1,500 in · 400 out	$0.0012	$1.19
Question over a long document40,000 in · 800 out	$0.018	$17.92
Agent tool step20,000 in · 1,200 out	$0.010	$10.08

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

Intelligence30.6#25 of 63

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": "thinkingmachines/inkling-2-small",
    "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="thinkingmachines/inkling-2-small",
    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: "thinkingmachines/inkling-2-small",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(reply.choices[0].message.content);

Parameters this model accepts

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p

API reference → · How API billing works →

Where your prompt goes

Zero data retention

6 of the 6 endpoints serving this model offer zero data retention. Privateer pins requests to those by default, and fails loudly rather than quietly falling back to one that might keep your prompt.

Over the API, prompts are forwarded to the model provider for inference and are not encrypted in transit to it; we persist only billing metadata (timestamp, model ID, token counts, cost), never your prompts or the responses. In the app, your chats are encrypted on your device or in our cloud.

How the privacy tiers work →

Capabilities

Reads: Text, Images
Writes: Text
Tool calling: Yes
Reasoning: Always on
Structured output: Yes
Prompt caching: Yes
Provider moderation: None

Reliability

Serving endpoints: 6 6 zero-retention
Uptime, last day: 99.7%best zero-retention endpoint
Quantization: fp4, nvfp4

Measured across the hosts serving this model, as of 14 Nov 2026. The router sends traffic to the healthy ones, so a single bad host rarely shows up in a request.

Prices are USD at the developer-API rate, as of 14 Nov 2026, rebuilt daily from the providers’ live catalogues. ← All models