Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Inkling is Thinking Machines’ open-weights foundation model built for customization, multimodal reasoning, and agentic AI workflows. The model uses a Mixture-of-Experts architecture with 975 billion total parameters and 41 billion active parameters, making it large in capacity while activating only a subset of experts per token. Inkling supports up to a 1 million token context window and was pretrained on 45 trillion tokens spanning text, images, audio, and video. It is designed as a broad generalist model with strengths across coding, reasoning, instruction following, factuality, tool use, vision, audio understanding, forecasting, and safety. Developers can tune its thinking effort to trade off latency, cost, and performance, which is useful for production systems that need efficient reasoning at scale. Inkling can be fine-tuned on Tinker, tested in the Inkling Playground, and deployed through partners such as TogetherAI, Fireworks, Modal, Databricks, Baseten, vLLM, SGLang, llama.cpp, and Hugging Face transformers. The model can generate applications, operate tools, create styled artifacts, reason over visual and audio inputs, and support long refinement loops for collaborative work. Thinking Machines also previewed Inkling-Small, a lighter Mixture-of-Experts model with 276 billion total parameters and 12 billion active parameters for lower-cost and lower-latency workloads. By combining open weights, multimodal training, agentic capabilities, efficient reasoning, and fine-tuning support, Inkling gives builders a flexible AI foundation for specialized products and workflows.
Description
ModelMatch is a web-based service that enables users to assess leading open-source vision-language models for image analysis tasks without requiring any programming skills. Individuals can upload as many as four images and enter particular prompts to obtain comprehensive evaluations from various models at the same time. The platform assesses models that vary in size from 1 billion to 12 billion parameters, all of which are open-source and come with commercial licenses. Each model is assigned a quality score ranging from 1 to 10, reflecting its effectiveness for the specified task, as well as providing metrics on processing times and real-time updates throughout the analysis process. In addition, the platform's user-friendly interface makes it accessible for those who may not have technical expertise, further broadening its appeal among a diverse range of users.
API Access
Has API
API Access
Has API
Integrations
Janus-Pro-7B
Llama 3.2
Model Context Protocol (MCP)
Pixtral Large
Tinker
Integrations
Janus-Pro-7B
Llama 3.2
Model Context Protocol (MCP)
Pixtral Large
Tinker
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
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/
Vendor Details
Company Name
ModelMatch
Website
www.findbestmodel.app/