Explore Thinking Machines: Inkling Small

Thinkingmachines: Thinking Machines: Inkling Small

Input: text · image · audio Output: text Context: 524,288 tokens Release: 2026-07-30

Use Cases

Here are a few ways teams apply Thinking Machines: Inkling Small in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Meeting transcription & notes

Multilingual audio translation

Audio understanding

Reliable drafting

Specs

Overview
Vendor
thinkingmachines
Model ID
thinkingmachines/inkling-small
Release
2026-07-30
Modalities & context
Input
text · image · audio
Output
text
Context
524,288 tokens
Parameters & defaults

Supported parameters: frequency_penalty, include_reasoning, logit_bias, max_tokens, min_p, presence_penalty, reasoning, reasoning_effort, repetition_penalty, seed, stop, temperature, top_k, top_p

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: Thinking Machines: Inkling Small

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

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up.end
/ˌəpˈend/
verb

To “upend” means to completely disrupt, overturn, or drastically change the established order or structure of something. It implies a significant shift or alteration that can potentially have far-reaching consequences. When something is upended, it is turned upside down or transformed in a way that challenges conventional norms or expectations. The term often carries a sense of innovation, transformation, and sometimes even a hint of upheaval, indicating that the changes are not just minor adjustments but rather a fundamental reimagining of the status quo.