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What is Inkling-Small?

Inkling-Small is an efficient multimodal AI model built to deliver strong reasoning and coding performance at a fraction of Inkling’s size. It is a Mixture-of-Experts transformer with 276 billion total parameters and 12 billion active parameters. The model was trained on NVIDIA GB300 NVL72 systems and is designed to combine high capability with more efficient inference. Inkling-Small supports native reasoning across text, images, and audio, allowing it to work across multimodal tasks without relying on separate encoders. Its context window supports up to one million tokens, making it useful for long-form reasoning, large-scale code understanding, document analysis, and agentic workflows. Users can adjust reasoning effort from minimal to extra high depending on whether they need faster responses or deeper computation. The model’s training process includes improved pre-training data, post-training with on-policy distillation from Inkling, and extended agentic coding reinforcement learning. These techniques helped Inkling-Small outperform its larger counterpart on reasoning and coding benchmarks. The model performs well in coding and tool-use harnesses and exceeds 80% on SWE-bench Verified. Its encoder-free architecture processes audio as dMel spectrograms and images as 40-by-40-pixel patches alongside text tokens. By combining efficient MoE design, one-million-token context, adjustable reasoning effort, multimodal processing, coding strength, and tool-use performance, Inkling-Small is designed for developers and teams that need capable AI with lower active compute requirements.

What is GLM-5V-Turbo?

The GLM-5V-Turbo stands as a cutting-edge multimodal coding foundation model, expertly designed for scenarios necessitating visual inputs, proficient in interpreting various formats including images, videos, texts, and files to produce text-based results. This model is particularly optimized for agent workflows, enabling it to grasp environments effectively, devise suitable actions, and execute tasks, while also maintaining compatibility with agent frameworks such as Claude Code and OpenClaw. Notably, it excels in managing long-context interactions, offering an impressive context capacity of 200K tokens alongside an output limit of up to 128K tokens, making it exceptionally suited for complex, long-duration projects. Moreover, it presents an array of thinking modes tailored for different situations, demonstrates strong visual understanding of both images and videos, and streams outputs in real-time to improve user interaction. It also incorporates advanced function-calling capabilities that allow seamless integration of external tools, with its context caching feature significantly enhancing performance during extended dialogues. In real-world applications, the model is capable of skillfully converting design mockups into operational frontend projects, highlighting its adaptability and depth in practical coding environments. Furthermore, this adaptability empowers users to approach a diverse array of intricate tasks with assurance and effectiveness, greatly enhancing their productivity.

Media

Media

Integrations Supported

Claude Code
Java
Model Context Protocol (MCP)
Ollama
OpenClaw
Python
Tinker

Integrations Supported

Claude Code
Java
Model Context Protocol (MCP)
Ollama
OpenClaw
Python
Tinker

API Availability

Has API

API Availability

Has API

Pricing Information

$0.30 per million input tokens
$0.30 per million input tokens and $1.20 per million output tokens
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Thinking Machines Lab

Date Founded

2025

Company Location

United States

Company Website

thinkingmachines.ai/news/inkling-small/

Company Facts

Organization Name

Z.ai

Date Founded

2023

Company Location

United States

Company Website

docs.z.ai/guides/vlm/glm-5v-turbo

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