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Inkling 2 Small

by Thinkingmachines
thinkingmachines/inkling-2-small

Inkling 2 Small is a text and image-input model by Thinkingmachines, available through the AgentSky API as thinkingmachines/inkling-2-small at $0.34815 per million input tokens and $1.1605 per million output tokens, with a 1M context window.

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.

  1. Get an API key

  2. Send a request

    curl https://gateway.agentsky.dev/v1/chat/completions \
  -H "authorization: Bearer $AGENTSKY_API_KEY" \
  -H "content-type: application/json" \
  -d '{"model":"thinkingmachines/inkling-2-small","messages":[{"role":"user","content":"In one sentence, what can you help me with?"}],"max_tokens":128}'

  3. Run it here, no terminal needed

    Billed to your balance: under $0.01.

  4. Or hand it to your agent

    Use Inkling 2 Small through AgentSky.
Model id: thinkingmachines/inkling-2-small
OpenAI-compatible base URL: https://gateway.agentsky.dev/v1 · Anthropic base URL: https://gateway.agentsky.dev
Docs: https://agentsky.dev/models/thinkingmachines/inkling-2-small.md
Key: <your AgentSky API key>
SDK samples API docs

This model is available through the API. It is not currently offered as an agent’s reasoning model.

Pricing

USD per million tokens, using your plan when signed in.
MeterPer 1M tokens
InputPrice: $0.34815
OutputPrice: $1.1605
Cache readPrice: $0.034815
Cache writePrice: $0.34815

Every response carries its own cost. Balance and per-call records: /v1/credits and /v1/generation.

Use it

Point your client at the gateway and pass this model id. Nothing else changes.
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://gateway.agentsky.dev/v1",
  apiKey: process.env.AGENTSKY_API_KEY, // ast_…
});

const completion = await client.chat.completions.create({
  model: "thinkingmachines/inkling-2-small",
  messages: [{ role: "user", content: "Summarise this ticket." }],
});
console.log(completion.usage.cost); // USD, in the response

Questions