Thinking MachinesMultimodal modelThinking Machines Inkling
Thinking Machines Inkling for chat.
Model availability and access depend on your workspace and plan.
Thinking Machines InklingAbout the model
Thinking Machines Inkling, explained.
Thinking Machines Inkling for chat.
Supported capabilities
- Chat
- Vision
- Tool use
- Reasoning
What you get back. The response appears directly in your Relam chat, where you can continue the conversation.
Capabilities & limits
Inside Thinking Machines Inkling.
Chat
Ask questions, give instructions and continue with follow-up messages in a conversation.
Vision
The catalogue lists image understanding as a supported model capability. Available attachment controls depend on your workspace.
Tool use
The model can work with tools as part of a response. Relam determines which tools are available for your request and enforces their permissions.
Context window
Thinking Machines Inkling has a 1,048,576-token context window. This is the model’s capacity for the text it considers in a request, including prompts and conversation context. Tokens are pieces of text, rather than a word or page count. The amount of context sent by your workspace can be lower.
Response length
The catalogue sets a maximum output of 262,144 tokens for Thinking Machines Inkling. This is the response budget, distinct from its context window. Responses can be shorter depending on your request and the limits applied by your workspace.
Reasoning
Questions & answers
More about Thinking Machines Inkling.
Thinking Machines Inkling for chat.
Thinking Machines is the vendor behind Thinking Machines Inkling, a multimodal model available in the Relam catalogue.
Ask questions, give instructions and continue with follow-up messages in a conversation.
The catalogue lists image understanding as a supported model capability. Available attachment controls depend on your workspace.
The model can work with tools as part of a response. Relam determines which tools are available for your request and enforces their permissions.
Thinking Machines Inkling has a 1,048,576-token context window. This is the model’s capacity for the text it considers in a request, including prompts and conversation context. Tokens are pieces of text, rather than a word or page count. The amount of context sent by your workspace can be lower.
The catalogue sets a maximum output of 262,144 tokens for Thinking Machines Inkling. This is the response budget, distinct from its context window. Responses can be shorter depending on your request and the limits applied by your workspace.
Thinking Machines Inkling is listed as a reasoning-capable model. Its configured reasoning levels are max, high, medium, low, minimal, none. The default level is high. Available controls depend on your workspace.
Open your Relam workspace and look for Thinking Machines Inkling in the multimodal model selector. Available models, controls and access depend on your workspace and plan.