Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

GPT-5.4 nano is a compact and cost-efficient AI model designed for handling lightweight, high-frequency tasks at scale. It is optimized for operations such as classification, data extraction, ranking, and simple coding assistance. The model delivers fast response times, making it suitable for applications where low latency is critical. Compared to earlier nano models, GPT-5.4 nano offers improved performance while maintaining minimal computational cost. It supports key features such as tool usage and structured output generation, allowing it to integrate easily into automated systems. The model is often used as a subagent within larger AI workflows, handling repetitive or supporting tasks efficiently. This approach allows more complex models to focus on higher-level reasoning and decision-making. GPT-5.4 nano is particularly useful in environments that require processing large volumes of requests quickly. Its efficiency makes it ideal for cost-sensitive applications and scalable deployments. Overall, it provides a reliable and fast solution for simple AI-driven tasks.

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 Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

OpenAI Yes 
OpenAI Codex Yes 
Agentforce Vibes Yes 
Brokk Yes 
ChatGPT Pro Yes 
Claude Code No 
Flowise Yes 
GPT-5.2-Codex Yes 
GPT-5.4 Yes 
GPT-5.6 Terra Yes 
GPT-6 Sol Yes 
Ghost Yes 
GitHub Copilot Yes 
Google Drive Yes 
LobeHub Yes 
Microsoft Foundry Models Yes 
Microsoft Teams Yes 
OpenClaw Yes 
SubQ No 
ThreadMaster.ai Yes 

Integrations

OpenAI Yes 
OpenAI Codex Yes 
Agentforce Vibes No 
Brokk No 
ChatGPT Pro No 
Claude Code Yes 
Flowise No 
GPT-5.2-Codex No 
GPT-5.4 No 
GPT-5.6 Terra No 
GPT-6 Sol No 
Ghost No 
GitHub Copilot No 
Google Drive No 
LobeHub No 
Microsoft Foundry Models No 
Microsoft Teams No 
OpenClaw No 
SubQ Yes 
ThreadMaster.ai No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

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

OpenAI

Founded

2015

Country

United States

Website

openai.com

Vendor Details

Company Name

Subquadratic

Founded

2026

Country

United States

Website

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

Alternatives

Claude Opus 4.6 Reviews

Claude Opus 4.6

Anthropic

Alternatives

MiniMax M3 Reviews

MiniMax M3

MiniMax
Claude Fable 5 Reviews

Claude Fable 5

Anthropic