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

Cohere’s Command A Reasoning stands as the company’s most sophisticated language model, specifically designed for complex reasoning tasks and effortless incorporation into AI agent workflows. This model exhibits outstanding reasoning capabilities while ensuring efficiency and controllability, enabling it to scale effectively across multiple GPU configurations and accommodating context windows of up to 256,000 tokens, which is particularly advantageous for managing extensive documents and intricate agentic tasks. Businesses can adjust the precision and speed of outputs by utilizing a token budget, which empowers a single model to adeptly address both precise and high-volume application needs. It serves as the backbone for Cohere’s North platform, achieving top-tier benchmark performance and showcasing its strengths in multilingual applications across 23 distinct languages. With an emphasis on safety in enterprise settings, the model strikes a balance between utility and strong protections against harmful outputs. Additionally, a streamlined deployment option allows the model to operate securely on a single H100 or A100 GPU, making private and scalable implementations more accessible. Ultimately, this combination of features positions Command A Reasoning as a powerful solution for organizations aiming to enhance their AI-driven capabilities.

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Claude Code No 
Cohere Yes 
Hugging Face Yes 
OpenAI No 
OpenAI Codex No 
SubQ No 

Integrations

Claude Code Yes 
Cohere No 
Hugging Face No 
OpenAI Yes 
OpenAI Codex Yes 
SubQ Yes 

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 Yes 
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 Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Cohere AI

Founded

2019

Country

Canada

Website

cohere.com/blog/command-a-reasoning

Vendor Details

Company Name

Subquadratic

Founded

2026

Country

United States

Website

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

Product Features

Alternatives

Alternatives

Command A+ Reviews

Command A+

Cohere AI
Sarvam 105B Reviews

Sarvam 105B

Sarvam
MiniMax M3 Reviews

MiniMax M3

MiniMax
GLM-5.1 Reviews

GLM-5.1

Z.ai
Claude Fable 5 Reviews

Claude Fable 5

Anthropic