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Average Ratings 0 Ratings
Description
SubQ Snap is a sophisticated decision-making model designed for both enterprise and agentic workflows, enabling rapid, structured decisions across extensive datasets. It effectively manages various tasks, including identifying relevant files, choosing the appropriate tool, verifying result validity, assessing whether to proceed with a workflow, and determining the necessity of a frontier model. Unlike traditional text generators, Snap operates by taking into account specific context, a posed question, and a limited range of possible answers to produce a probability distribution for those responses. It can process up to 384K tokens, integrating diverse forms of information such as codebases, contracts, interaction histories, logs, screenshots, charts, diagrams, and scanned documents within a single query. Utilizing Subquadratic Sparse Attention technology, Snap significantly diminishes the resources needed to analyze lengthy inputs, while its decision head adeptly correlates contextual representations to permissible answers without relying on autoregressive text generation. This innovative approach enhances efficiency and accuracy in decision-making processes across various applications.
Description
Trinity Large Thinking is an innovative open-source reasoning model crafted by Arcee AI, tailored for intricate, multi-step problem solving and workflows involving autonomous agents that necessitate extended planning and the use of various tools. This model features a sparse Mixture-of-Experts architecture, boasting a remarkable total of around 400 billion parameters, with approximately 13 billion being active for each token, which enhances its efficiency while ensuring robust reasoning capabilities across a range of tasks, including mathematical calculations, code generation, and comprehensive analysis. A notable advancement in this model is its ability to perform extended chain-of-thought reasoning, which allows it to produce intermediate "thinking traces" prior to delivering final solutions, thereby boosting accuracy and reliability in complex situations. Furthermore, Trinity Large Thinking accommodates a substantial context window of up to 262K tokens, allowing it to effectively process lengthy documents, retain context during prolonged interactions, and function seamlessly in continuous agent loops. This model's design reflects a commitment to pushing the boundaries of what automated reasoning systems can achieve.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Claude Fable 5
No
Claude Fable 5.1
No
Claude Fable 5.5
No
Claude Haiku 5.5
No
Claude Mythos 5
No
Claude Mythos 5.1
No
Claude Opus 4.6
No
Claude Opus 4.7
No
Claude Opus 4.8
No
Claude Opus 5
No
Integrations
Claude Fable 5
Yes
Claude Fable 5.1
Yes
Claude Fable 5.5
Yes
Claude Haiku 5.5
Yes
Claude Mythos 5
Yes
Claude Mythos 5.1
Yes
Claude Opus 4.6
Yes
Claude Opus 4.7
Yes
Claude Opus 4.8
Yes
Claude Opus 5
Yes
Pricing Details
$0.05 per million input tokens
Free Trial
Yes
Free Version
No
Pricing Details
Free
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Subquadratic
Founded
2024
Country
United States
Website
subq.ai/introducing-subq-snap
Vendor Details
Company Name
Arcee AI
Founded
2023
Country
United States
Website
www.arcee.ai/blog/trinity-large-thinking