Ling 2.6 FlashAnt Group
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SubQ 1.1 SmallSubquadratic
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Related Products
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About
Ling 2.6 Flash is the latest cost-effective model in the Ling series, built on a Mixture of Experts architecture with 104B total parameters and 7.4B activated parameters. It is designed to achieve an optimal balance between inference performance and compute cost, making it suitable for general-purpose scenarios where strong reasoning capability, high throughput, and efficient deployment matter. Ling’s MoE architecture routes each token to activate only the most relevant expert subnetworks, compressing actual computation to a minimal fraction while maintaining large-scale model capacity. Ling 2.6 Flash provides a native 256K context window and can process approximately 200,000 characters of long-form input, with reliable long-range information retrieval whether key information appears at the beginning, middle, or end of the context. Its aggregate benchmark performance is comparable to or exceeds 40B-class Dense models.
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About
SubQ 1.1 Small is a long-context AI model from Subquadratic designed to reason over complete enterprise artifacts such as codebases, document collections, contracts, and financial filings. It uses Subquadratic Sparse Attention, or SSA, to reduce the high compute costs normally associated with processing very large context windows. The model delivers near-perfect long-context retrieval across 1M, 2M, 6M, and 12M token tests while using far less attention compute than dense attention. SubQ 1.1 Small also maintains strong general reasoning, coding, knowledge, and agentic task performance across multiple benchmarks. Its capabilities make it useful for financial analysis, legal review, contract work, software engineering, due diligence, and other workflows where information is spread across large artifacts. SubQ is built for organizations that want to move beyond fragmented retrieval pipelines and enable direct reasoning over massive bodies of information.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
High-traffic AI product teams that need a fast, efficient long-context model for customer service, translation, content workflows, and recommendation intelligence
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Audience
SubQ 1.1 Small is best suited for enterprises, AI teams, software engineering groups, legal teams, financial analysts, and research organizations that need efficient long-context reasoning across large documents, codebases, filings, contracts, and complex information collections
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$0.00037 per 1M tokens
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationAnt Group
Founded: 2014
China
developer.ant-ling.com/en/docs/models/ling/
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Company InformationSubquadratic
Founded: 2026
United States
subq.ai/subq-1-1-small-technical-report
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Categories |
Categories |
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Integrations
Claude Code
Hermes Agent
Kilo Code
OpenAI
OpenAI Codex
OpenClaw
OpenRouter
SubQ
ZenMux
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Integrations
Claude Code
Hermes Agent
Kilo Code
OpenAI
OpenAI Codex
OpenClaw
OpenRouter
SubQ
ZenMux
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