TML-interaction-small

TML-interaction-small

Thinking Machines Lab
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About

GLM-5V-Turbo is a multimodal coding foundation model designed for vision-based coding tasks, capable of natively processing inputs such as images, video, text, and files while producing text outputs. It is optimized for agent workflows, enabling a full loop of understanding environments, planning actions, and executing tasks, and integrates seamlessly with agent frameworks like Claude Code and OpenClaw. It supports long-context interactions with a context length of 200K tokens and up to 128K output tokens, making it suitable for complex, long-horizon tasks. It offers multiple thinking modes for different scenarios, strong vision comprehension across images and video, real-time streaming output for improved interaction, and advanced function-calling capabilities for integrating external tools. It also includes context caching to enhance performance in extended conversations. In practical use, it can reconstruct frontend projects from design mockups.

About

TML-Interaction-Small is a real-time multimodal interaction model developed by Thinking Machines Lab to enable more natural and collaborative human-AI communication across audio, video, and text. Unlike traditional turn-based AI systems that rely on external scaffolding and delayed interactions, TML-Interaction-Small is designed around continuous micro-turn exchanges that allow the model to perceive, respond, listen, speak, and react simultaneously in real time. The model uses a time-aware architecture that processes 200ms interaction windows, enabling seamless interruptions, simultaneous speech, visual cue detection, and live collaborative workflows without requiring separate dialog management systems. TML-Interaction-Small supports capabilities such as real-time conversation, proactive interjections, live translation, visual monitoring, tool usage, browsing, and asynchronous reasoning through coordination with a background model.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Software developers and AI engineers who need a multimodal model to turn visual inputs like screenshots or designs into functional code and automated workflows

Audience

AI researchers, developers, multimodal AI teams, enterprise AI platforms, robotics companies, conversational AI providers, and organizations building real-time human-AI collaboration systems

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Z.ai
Founded: 2023
United States
docs.z.ai/guides/vlm/glm-5v-turbo

Company Information

Thinking Machines Lab
United States
thinkingmachines.ai/

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GPT-4o

GPT-4o

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Kimi K2.5

Kimi K2.5

Moonshot AI
Qwen3.5-Omni

Qwen3.5-Omni

Alibaba

Categories

Categories

Integrations

Claude Code
Java
Ollama
OpenClaw
Python

Integrations

Claude Code
Java
Ollama
OpenClaw
Python
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