Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Gemini Enterprise Agent Platform Reviews & Ratings
    999 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website
  • Attentive Reviews & Ratings
    1,649 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    30 Ratings
    Company Website
  • OptiSigns Reviews & Ratings
    8,240 Ratings
    Company Website
  • Dialpad Support Reviews & Ratings
    1,600 Ratings
    Company Website
  • Square Payments Reviews & Ratings
    10,131 Ratings
    Company Website
  • Bravo POS for Gun Stores Reviews & Ratings
    76 Ratings
    Company Website
  • Mitti (by SafetyCulture) Reviews & Ratings
    647 Ratings
    Company Website
  • Iru Reviews & Ratings
    1,382 Ratings
    Company Website

What is SubQ 1.1 Small?

SubQ 1.1 Small is a long-context enterprise AI model developed by Subquadratic to address the limitations of traditional models that struggle with large artifacts. It is built for tasks where the full context matters, including analyzing entire codebases, reviewing lengthy contracts, comparing financial filings, and reasoning across document collections. The model uses Subquadratic Sparse Attention, which replaces dense attention with a learned sparse approach that scales more efficiently as context length grows. This allows SubQ 1.1 Small to process extremely large context windows while sharply reducing attention compute requirements. In benchmark testing, the model achieved near-perfect needle-in-a-haystack retrieval at 1M, 2M, 6M, and 12M tokens. It also scored 99.12% on the RULER 128K benchmark, demonstrating strength on tasks involving multi-hop reasoning, variable tracing, aggregation, and long-context understanding. Beyond retrieval, SubQ 1.1 Small maintains competitive performance in general knowledge, coding, and enterprise agent benchmarks such as GPQA Diamond, LiveCodeBench, and AutomationBench Finance. Its efficiency is a major advantage, requiring 64.5x less compute than dense attention and running 56x faster than FlashAttention-2 at 1M tokens on a single attention layer. The model was trained through staged context extension and continued pretraining on long-form artifacts such as books, documents, and repository-scale code. SubQ 1.1 Small is suited for financial analysis, legal work, software engineering, due diligence, long-horizon coding tasks, and enterprise workflows that depend on relationships spread across large bodies of information. It gives organizations a way to reason over complete artifacts more directly instead of relying only on retrieval pipelines, chunking strategies, and agentic scaffolding.

What is GPT-5.4 nano?

GPT-5.4 nano is a highly efficient and lightweight AI model designed to deliver fast and cost-effective performance for simple and repetitive tasks. As part of the GPT-5.4 family, it focuses on speed and scalability rather than handling deeply complex reasoning workloads. The model is optimized for tasks such as classification, data extraction, ranking, and basic coding support. It is particularly well-suited for applications that require processing large volumes of requests with minimal latency. GPT-5.4 nano provides improved performance over earlier nano models while maintaining a significantly lower cost compared to larger models. It supports essential capabilities like tool integration, structured outputs, and automation workflows. The model is often used as a subagent in multi-model systems, where it efficiently handles smaller tasks while larger models manage more complex operations. This allows developers to design scalable architectures that balance performance and cost. GPT-5.4 nano is ideal for backend processes such as data labeling, content filtering, and information extraction. Its fast response times make it suitable for real-time applications and high-throughput environments. Despite its smaller size, it maintains strong reliability for well-defined tasks. The model can also be integrated into pipelines that require quick decision-making or preprocessing. By focusing on efficiency and speed, GPT-5.4 nano helps reduce operational costs while maintaining productivity. Overall, it is a practical solution for businesses and developers looking to scale AI workloads without sacrificing performance for simpler tasks.

Media

Media

Integrations Supported

OpenAI
OpenAI Codex
Augment Code
Bash
Charlie
Codex Security
GPT-6
Go
Kotlin
Microsoft Excel
Microsoft Teams
Node.js
Rust
SQL
SpawnHQ
Springhub
SubQ
ThreadMaster.ai
TypeScript
Yonoo

Integrations Supported

OpenAI
OpenAI Codex
Augment Code
Bash
Charlie
Codex Security
GPT-6
Go
Kotlin
Microsoft Excel
Microsoft Teams
Node.js
Rust
SQL
SpawnHQ
Springhub
SubQ
ThreadMaster.ai
TypeScript
Yonoo

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Subquadratic

Date Founded

2026

Company Location

United States

Company Website

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

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

openai.com

Popular Alternatives

Claude Fable 5 Reviews & Ratings

Claude Fable 5

Anthropic

Popular Alternatives

GLM-5.2 Reviews & Ratings

GLM-5.2

Zhipu AI
Claude Opus 4.6 Reviews & Ratings

Claude Opus 4.6

Anthropic
Claude Opus 4.8 Reviews & Ratings

Claude Opus 4.8

Anthropic
MiniMax M3 Reviews & Ratings

MiniMax M3

MiniMax