Inkling

LLM
Thinking Machines

Inkling is a multimodal chat model by Thinking Machines built for text, image, and audio understanding, with support for tool use, thinking, and structured outputs across a 524,288-token context window.

Context tokens

524,288

Output tokens

131,072

Released

Jul 15, 2026

Schema

Inkling supports controllable thinking effort, allowing you to balance response depth against speed and cost. It reasons natively over text, images, and audio.

Schema documentation

Capabilities

Tool use
Structured output
Thinking
Multimodal

Supported input media

image
text

Supported tools

  • Seclai Content Tools

    Inspect source documents connected to your account. Includes tools for loading full content, reading character ranges, searching within documents, viewing stats, and listing available content sources. When a source_connection_content_version_id is provided in agent run metadata it is used as the default. Otherwise the model can discover content via list_content_sources.

  • Seclai Knowledge Base

    Search your knowledge bases using semantic similarity. Includes search_knowledge_base and list_knowledge_bases. When a knowledge_base_id is provided in the prompt or agent run metadata it is used as the default. Otherwise the model can discover available knowledge bases at runtime.

  • Seclai Memory Banks

    Manage persistent memory across agent runs. Includes tools for listing memory banks, writing entries, searching memory via semantic similarity, and loading entries in chronological order. Supports two memory types: 'conversation' (speaker-attributed turns) and 'general' (freeform text). Use key to organize entries by topic, session, or user.

Pricing

TypeCreditsUnits
Input13.30Credits per 1k tokens
Output53.865Credits per 1k tokens
Cache hit2.261Credits per 1k tokens

Variants

No variants available for this model.

Try This Model

Write a prompt and experiment with Inkling in the model experiments page. You can compare it with other models side by side.