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Description
Inkling-Small is an efficient Mixture-of-Experts transformer model built to provide performance comparable to Inkling while using a much smaller active parameter footprint. The model has 276 billion total parameters and 12 billion active parameters, making it designed for strong capability with more efficient compute usage. Inkling-Small was trained on NVIDIA GB300 NVL72 systems and supports native reasoning across text, images, and audio. It offers context windows of up to one million tokens, making it suitable for long documents, large codebases, multimodal context, and extended agent workflows. Users can set reasoning effort from minimal to extra high to control the balance between speed, cost, compute, and task complexity. The model benefits from improved pre-training data, post-training with on-policy distillation from Inkling, and extended agentic coding reinforcement learning. These improvements helped Inkling-Small surpass its larger counterpart on reasoning and coding benchmarks. Its encoder-free multimodal architecture processes audio as dMel spectrograms and images as 40-by-40-pixel patches alongside text tokens. By combining efficient MoE scaling, long-context reasoning, multimodal input, coding strength, and adjustable thinking effort, Inkling-Small is built for practical high-performance AI deployment.
Description
Ling Studio serves as the online platform created by Ant Ling, allowing users to delve into the vast potential of AI while assessing the fundamental capabilities of the Ling model series. This environment offers a seamless way for individuals to test out Ant Ling models prior to utilizing them via API access, thus enhancing the experience of engaging with multi-turn reasoning, processing lengthy contexts, generating multimodal content, and observing model behavior within an interactive chat interface. It is interconnected with Ant Ling’s robust family of models designed for text generation, coding, reasoning, and various multimodal tasks. The Ling models themselves are versatile large language models (LLMs) built on a Mixture of Experts architecture, achieving a balance between a high parameter scale and low activation costs, which facilitates conversation, text creation, and diverse content generation. Additionally, the Ring models are engineered to excel in deep reasoning and cognitive functions, demonstrating exceptional capabilities in mathematics, programming, and achieving high scores on comprehensive reasoning benchmarks, ultimately making them invaluable tools for users seeking advanced AI solutions. This innovative approach not only enhances user engagement but also opens doors to new applications in the AI landscape.
API Access
Has API
API Access
Has API
Integrations
Model Context Protocol (MCP)
Tinker
Pricing Details
$0.30 per million input tokens
$0.30 per million input tokens and $1.20 per million output tokens
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Thinking Machines Lab
Founded
2025
Country
United States
Website
thinkingmachines.ai/news/inkling-small/
Vendor Details
Company Name
Ant Group
Founded
2014
Country
China
Website
chat.ant-ling.com/chat