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inkling-256k

Thinking Machines/Open weights/1 provider

Inkling 256K is the extended context variant of Inkling, a large MoE hybrid reasoning model from Thinking Machines with audio and vision input support and a 256K context window.More

Which id to call

inkling-256k

Requesty routes this id across every provider serving inkling-256k, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.

From /1M input

$1.87

$3.74 list

thinkingmachines

Context

262K

33K output

Endpoints

1

1 region

Regions

1

chat

Capabilities 4/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

1 endpoint / 1 region

Providers serving inkling-256k

Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.

Providers serving inkling-256k, with pricing and measured performance. The best value in each column is highlighted.
RankPrivacy
1thinkingmachines50% offGlobal262K$3.74$1.87$9.36$4.68$0.37no-train

A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.

model=

Which id to call

One base url, https://router.requesty.ai/v1, and one key for every id here.

inkling-256k

Requesty routes this id across every provider serving inkling-256k, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.

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from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="inkling-256k", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

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More from Thinking Machines

Reference

inkling-256k questions

Which providers serve inkling-256k?

inkling-256k is available from 1 provider through Requesty: thinkingmachines. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.

How much does inkling-256k cost?

Pricing starts at $1.87 per million input tokens and $4.68 per million output tokens on thinkingmachines, the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

Is inkling-256k open weights?

Yes. inkling-256k is an open-weights model from Thinking Machines, which is why multiple inference providers can host it. Provider choice affects price, latency, and data-privacy terms, all compared above.

What is the context window of inkling-256k?

inkling-256k supports up to 262K tokens of context, with up to 33K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.

How do I use inkling-256k with the OpenAI SDK?

Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "inkling-256k" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

Should I call inkling-256k by its managed id or a provider id?

Use the managed id, "inkling-256k". Requesty picks which of the 1 provider serves each request based on price and health, and fails over when one degrades, so the id keeps working while the routing changes underneath it. Send a provider id like "thinkingmachines/inkling-256k" only when you need one specific deployment and want no failover.

Route inkling-256k through one endpoint

One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.

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