+
+

Related Products

  • QBench
    153 Ratings
    Visit Website
  • Google AI Studio
    41 Ratings
    Visit Website
  • Planview AdaptiveWork
    718 Ratings
    Visit Website
  • Concord
    237 Ratings
    Visit Website
  • LTX
    182 Ratings
    Visit Website
  • Google Cloud BigQuery
    2,027 Ratings
    Visit Website
  • RaimaDB
    12 Ratings
    Visit Website
  • Interfacing Integrated Management System (IMS)
    66 Ratings
    Visit Website
  • Squaretalk
    313 Ratings
    Visit Website
  • Vibe Retail
    93 Ratings
    Visit Website

About

Lumen Outpost is Cosine’s targeted post-trained coding model, benchmarked against Kimi K2.6, its base model, GPT-5.5, GPT-5.4, and Gemini 3.1 Pro on highly complex, long-horizon coding tasks across 13 programming languages. The model is specialized not only for raw coding accuracy, but also for behavioral signals that matter in professional engineering workflows, including agent initiative, planning, scope discipline, action alignment, concise updates, and useful communication. Cosine’s benchmark report shows that highly targeted post-training transformed the base model’s capabilities, with Lumen Outpost outperforming Kimi K2.6 across Niche-Bench, Slop-Bench, Vibe-Bench, and cost per successful task. On Niche-Bench, an internal evaluation for niche, legacy, and environment-constrained programming languages, Lumen Outpost achieved a 53.9% score and led or tied in 9 of 13 assessed languages, with notable gains in Fortran, ABAP, Java, and Rust.

About

Microsoft-Decision-1 is a fast decision-scoring model built for structured outputs that software can immediately act on. It is designed for routing, classification, prioritization, verification, and workflow control across applications, agents, and automated systems. The model is post-trained from Qwen3.5-9B for single-pass decision scoring and, when given a fixed set of answer options, returns a calibrated probability for each one. It supports yes/no, multiple-choice, rating, and rubric-based grading of AI responses and agent actions through a structured API. Microsoft evaluated the model across 36 benchmarks covering routing, ranking, long context, multilingual and out-of-distribution tasks, reasoning, and safety, and reports that it achieved the highest accuracy in that comparison while also delivering very low latency. The model is also designed for robustness, with testing focused on keeping decisions stable when prompts are paraphrased.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Professional engineering teams that need a cost-efficient AI coding model for complex, long-horizon software tasks across mainstream and niche programming languages

Audience

AI engineering teams and developers seeking to make fast, calibrated routing, classification, scoring, verification, and workflow decisions inside applications and agentic systems

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$20 per month
Free Version Not Supported
Free Trial Not Supported

Pricing

$0.042 per 1M tokens
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Cosine
United Kingdom
cosine.sh/blog/lumen-outpost-benchmark-report

Company Information

Microsoft
Founded: 1975
United States
commandline.microsoft.com/microsoft-decision-1-model-foundry/

Alternatives

GLM-5

GLM-5

Z.ai

Alternatives

Clef-flash

Clef-flash

Cloudflare
Composer 2

Composer 2

Cursor
Clef

Clef

Cloudflare
Jev

Jev

TypeSafe AI
Solar Decide

Solar Decide

Upstage
GLM-5.3

GLM-5.3

Z.ai

Categories

AI Coding Models Supported
AI Models Supported

Categories

AI Decision Models Supported

Integrations

ABAP Supported
Fortran Supported
Java Supported
Microsoft Foundry Not Supported
OpenRouter Not Supported
Qwen3.5 Not Supported
Rust Supported

Integrations

ABAP Not Supported
Fortran Not Supported
Java Not Supported
Microsoft Foundry Supported
OpenRouter Supported
Qwen3.5 Supported
Rust Not Supported
Claim Lumen Outpost and update features and information
Claim Lumen Outpost and update features and information
Claim Microsoft-Decision-1 and update features and information
Claim Microsoft-Decision-1 and update features and information