Analysis Summary
Thinking Machines' Inkling Small (batch) is listed as a multimodal model with image and audio input, a 524K-token context, tool use, and function calling. No benchmark results are supplied for this batch variant, so its reasoning, coding, and agentic performance cannot be compared reliably with tested alternatives.
Its context and modality options may be useful in experiments involving long inputs or mixed media, and the batch format may suit asynchronous workloads. The available data does not establish transcription quality, content-writing performance, or reliability in tool-driven workflows, so those uses need direct validation. Pricing is moderate rather than exceptionally low. Keep it in a pilot or controlled batch workflow until task-level results show that it delivers dependable output.
Assessed September 23, 2026
Editorial notes
Inkling Small (batch) lists image and audio input, a 524K-token context, and tool calling; no variant-specific benchmark results are available to confirm its quality or reliability.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Inkling Small (batch) lists image and audio input, a 524K-token context, and tool calling; no variant-specific benchmark results are available to confirm its quality or reliability.
How Thinking Machines: Inkling Small (batch) compares
Its 524K-token context window is larger than 77% of the models we list. At $0.36 per million input tokens it is cheaper than 39% 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.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.36 | $0.000360 |
| Output | $0.96 | $0.000960 |
What would Thinking Machines: Inkling Small (batch) cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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Talk to our teamAbout Thinking Machines: Inkling Small (batch)
Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of..
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Frequently asked questions about Thinking Machines: Inkling Small (batch)
How much does Thinking Machines: Inkling Small (batch) cost?
Thinking Machines: Inkling Small (batch) costs $0.36 per million input tokens and $0.96 per million output tokens.
What is the context window of Thinking Machines: Inkling Small (batch)?
Thinking Machines: Inkling Small (batch) has a context window of 524,288 tokens (524K).
What can Thinking Machines: Inkling Small (batch) do?
Thinking Machines: Inkling Small (batch) supports image/vision input, tool use, and function calling.
Who created Thinking Machines: Inkling Small (batch)?
Thinking Machines: Inkling Small (batch) is developed by Thinking Machines and was released on July 30, 2026.
Benchmarks from Artificial Analysis, pricing from the OpenRouter API, and verdicts from our own testing.
Last updated: November 7, 2026 7:38 pm