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ease
features
design
support

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Description

LongCat-2.0 represents a significant advancement in the realm of language models, featuring a staggering 1.6 trillion parameters through a Mixture-of-Experts architecture that leverages AI ASIC superpods, with approximately 48 billion parameters engaged per token, showcasing exceptional capabilities in coding and agentic tasks. This model marks a notable improvement over its predecessors by integrating a large-scale sparse architecture with specialized post-training methods tailored for tasks in real-world software development, tool utilization, long-context reasoning, and complex agent workflows. Entirely developed and executed on AI ASIC superpods, LongCat-2.0 underwent pretraining that encompassed over 35 trillion tokens and millions of accelerator hours, exemplifying cutting-edge training methodologies on innovative hardware solutions. To enhance its performance on tasks requiring long-term context, the model incorporates LongCat Sparse Attention and is trained using hundreds of billions of tokens from 1M-context datasets, enabling it to effectively manage ultra-long context tasks and ensure robust understanding of lengthy documents. This combination of features positions LongCat-2.0 as a pioneering force in the landscape of advanced language models.

Description

Lumen Outpost represents Cosine’s refined post-trained coding model, evaluated against its foundational model Kimi K2.6, along with GPT-5.5, GPT-5.4, and Gemini 3.1 Pro, specifically focusing on intricate, long-term coding assignments across 13 different programming languages. This model is designed not only for precision in coding but also to enhance key behavioral indicators vital in engineering processes, such as agent initiative, strategic planning, scope management, action coherence, succinct updates, and effective communication. According to Cosine’s benchmark analysis, the specialized post-training significantly elevated the base model's performance, with Lumen Outpost surpassing Kimi K2.6 in tests like Niche-Bench, Slop-Bench, Vibe-Bench, as well as in terms of cost efficiency for successful task completion. In the Niche-Bench assessment, which evaluates niche, legacy, and environmentally constrained programming languages, Lumen Outpost attained a score of 53.9% and excelled or equaled performance in 9 out of the 13 languages evaluated, demonstrating marked improvements particularly in Fortran, ABAP, Java, and Rust. The impressive results symbolize a significant leap in the practical application of coding models in real-world scenarios, underscoring the effectiveness of targeted training methodologies.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

ABAP No 
Claude Code Yes 
Fortran No 
Hermes Agent Yes 
Java No 
OpenClaw Yes 
Rust No 

Integrations

ABAP Yes 
Claude Code No 
Fortran Yes 
Hermes Agent No 
Java Yes 
OpenClaw No 
Rust Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$20 per month
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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

LongCat

Founded

2023

Country

China

Website

longcat.chat/blog/longcat-2.0/

Vendor Details

Company Name

Cosine

Country

United Kingdom

Website

cosine.sh/blog/lumen-outpost-benchmark-report

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Product Features

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