Thinking Machines: Inkling (batch)
Analysis Summary
Thinking Machines Inkling is positioned as a multimodal model supporting text, images, and audio, with tool use and function calling built into its deployment profile. Its 524K context window could support long documents, detailed briefs, and sizeable project materials, while pricing of $0.50 input and $2.025 output per million tokens is competitive for a premium-capability offering.
No model-specific benchmark results are supplied for this variant, which makes its reasoning, coding, and agentic reliability difficult to assess for production use. The available capabilities make it suitable for controlled pilots involving document analysis, media-aware content workflows, or tool-connected prototypes. Design for Online should validate instruction following, output consistency, and failure recovery before assigning it to client-facing or autonomous workloads.
Assessed August 9, 2026
Editorial notes
Thinking Machines Inkling offers a 524K context window, multimodal input, tool use, and function calling at moderate pricing. No model-specific benchmark results are supplied, so it is better treated as an emerging option than a lead production model.
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DFO Verdict
Thinking Machines Inkling offers a 524K context window, multimodal input, tool use, and function calling at moderate pricing. No model-specific benchmark results are supplied, so it is better treated as an emerging option than a lead production model.
How Thinking Machines: Inkling (batch) compares
Its 524K-token context window is larger than 78% of the models we list. At $1.00 per million input tokens it is cheaper than 28% 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 714 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.