Thinking Machines: Inkling (batch)
Analysis Summary
Thinking Machines Inkling supports text, image, and audio input alongside a 524K context window, tool use, and function calling. That makes it relevant to multimodal content workflows, research assistance, document processing, and early experiments with tool-connected applications.
The context capacity is useful for substantial briefs and source material, while the multimodal interface could reduce the need for separate models in some creative workflows. This exact variant has no benchmark data, however, so its reasoning quality, writing precision, coding ability, and multi-step reliability are not established.
Treat Inkling as an evaluation candidate rather than a default production model. It is worth testing for supervised content and research tasks, with clear output checks and a benchmarked fallback for client-critical work.
Assessed September 7, 2026
Editorial notes
Inkling offers a 524K context window, multimodal input, tool use, and function calling for content and workflow experiments. This specific variant has no benchmark results, so production reliability remains unverified.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Inkling offers a 524K context window, multimodal input, tool use, and function calling for content and workflow experiments. This specific variant has no benchmark results, so production reliability remains unverified.
How Thinking Machines: Inkling (batch) compares
Its 524K-token context window is larger than 76% of the models we list. At $1.00 per million input tokens it is cheaper than 27% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.00 | $0.001000 |
| Output | $4.05 | $0.004050 |
What would Thinking Machines: Inkling (batch) cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 779 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Thinking Machines: Inkling (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Thinking Machines: Inkling (batch)
Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,..
Frequently asked questions about Thinking Machines: Inkling (batch)
How much does Thinking Machines: Inkling (batch) cost?
Thinking Machines: Inkling (batch) costs $1.00 per million input tokens and $4.05 per million output tokens.
What is the context window of Thinking Machines: Inkling (batch)?
Thinking Machines: Inkling (batch) has a context window of 524,288 tokens (524K).
What can Thinking Machines: Inkling (batch) do?
Thinking Machines: Inkling (batch) supports image/vision input, tool use, and function calling.
Who created Thinking Machines: Inkling (batch)?
Thinking Machines: Inkling (batch) is developed by Thinking Machines and was released on July 17, 2026.