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Description

GPT-4.1 represents a significant upgrade in generative AI, with notable advancements in coding, instruction adherence, and handling long contexts. This model supports up to 1 million tokens of context, allowing it to tackle complex, multi-step tasks across various domains. GPT-4.1 outperforms earlier models in key benchmarks, particularly in coding accuracy, and is designed to streamline workflows for developers and businesses by improving task completion speed and reliability.

Description

SubQ 1.1 Small is the second iteration of Subquadratic’s long-context AI model, built to help enterprises solve problems that require reasoning across entire artifacts rather than isolated chunks. The model is designed for use cases involving large code repositories, document libraries, legal agreements, financial reports, contracts, and other complex information sets. Its Subquadratic Sparse Attention architecture reduces the compute burden of traditional dense attention, making it more practical to process multi-million-token contexts. SubQ 1.1 Small achieves near-perfect performance on needle-in-a-haystack retrieval tests up to 12M tokens, despite being trained primarily at 1M tokens. It also performs strongly on RULER, GPQA Diamond, LiveCodeBench, and AutomationBench Finance, showing a balance between long-context retrieval and general reasoning ability. At 1M tokens, the model uses 64.5x less compute than dense attention and runs 56x faster than FlashAttention-2 on a single attention layer. This efficiency makes long-context training and inference more scalable for enterprise AI applications. SubQ 1.1 Small is especially valuable for teams that need to analyze relationships across full documents, trace logic across codebases, or connect information across extensive collections. The model is intended to help organizations reduce dependence on complex retrieval workarounds and reason more directly over large-scale data.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

OpenAI
Aider
BLACKBOX AI
Clawd.run
Cursor
EaseMate AI
Go
Julia
Microsoft Foundry Models
PHP
Qodo
Revise
RubyMine
SQL
Shiori
Skymel
SubQ
Visual Basic
Visual Studio Code
Vivgrid

Integrations

OpenAI
Aider
BLACKBOX AI
Clawd.run
Cursor
EaseMate AI
Go
Julia
Microsoft Foundry Models
PHP
Qodo
Revise
RubyMine
SQL
Shiori
Skymel
SubQ
Visual Basic
Visual Studio Code
Vivgrid

Pricing Details

$2 per 1M tokens (input)
$2 per 1 million tokens (input)
$0.50 per 1 million tokens (cached input)
$8 per 1 million tokens (output)
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

OpenAI

Founded

2015

Country

United States

Website

openai.com/index/gpt-4-1/

Vendor Details

Company Name

Subquadratic

Founded

2026

Country

United States

Website

subq.ai/subq-1-1-small-technical-report

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