Thinkingmachines: Thinking Machines: Inkling Small

by Thinkingmachines Intelligent Coding Reasoning Agentic Open Weight Multimodal Image Input Long Context

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 the Inkling family and is suited for reasoning, coding, agentic workflows, retrieval-augmented generation, instruction following, and multilingual conversation.

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Specifications

Specifications for Thinking Machines: Inkling Small
AttributeValue
Lab Thinkingmachines
Tags Intelligent Coding Reasoning Agentic Open Weight Multimodal Image Input Long Context
Release Date 2026-07
Context Window 524,288 tokens
Input Price / 1M $0.50
Output Price / 1M $1.20
Input Modalities Text, Image, Audio
Output Modalities Text

Strengths

  • Supports text and image input with text output
  • 512K-token context window for long documents
  • Low input pricing for cost-sensitive production workloads
  • Tool-use support for agentic workflows

Weaknesses

  • Newer listing with limited independent benchmark coverage
  • Multimodal performance may vary by provider endpoint

Best For

  • Agentic workflows and tool-using applications
  • Multimodal document and screenshot analysis
  • Long-context document and codebase processing

In Depth: Thinking Machines: Inkling Small

Summary

Thinking Machines: Inkling Small is an AI model from Thinkingmachines.

Released 2026-07. It supports Text, Image, Audio input and produces Text output, with a context window of 524,288 tokens. Input pricing is $0.50 per 1M tokens and output is $1.20 per 1M tokens on OpenRouter.

Sources & Further Reading

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