GLM-4.7

GLM-4.7

Zhipu AI
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About

GLM-4.7 is an advanced large language model designed to significantly elevate coding, reasoning, and agentic task performance. It delivers major improvements over GLM-4.6 in multilingual coding, terminal-based tasks, and real-world software engineering benchmarks such as SWE-bench and Terminal Bench. GLM-4.7 supports “thinking before acting,” enabling more stable, accurate, and controllable behavior in complex coding and agent workflows. The model also introduces strong gains in UI and frontend generation, producing cleaner webpages, better layouts, and more polished slides. Enhanced tool-using capabilities allow GLM-4.7 to perform more effectively in web browsing, automation, and agent benchmarks. Its reasoning and mathematical performance has improved substantially, showing strong results on advanced evaluation suites. GLM-4.7 is available via Z.ai, API platforms, coding agents, and local deployment for flexible adoption.

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

GLM-4.7 is ideal for developers, AI engineers, and teams building coding agents, developer tools, and complex reasoning applications who need a high-performance model optimized for real-world software development

Audience

Engineering teams and AI coding platform developers that need a specialized coding model for long-horizon software tasks, niche languages, cleaner implementations, and agentic developer workflows

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

$20 per month
Free Version
Free Trial

Reviews/Ratings

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

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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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Zhipu AI
Founded: 2023
China
z.ai/

Company Information

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

Alternatives

Alternatives

GLM-5

GLM-5

Zhipu AI
Claude Opus 4.5

Claude Opus 4.5

Anthropic
Composer 2

Composer 2

Cursor
Claude Opus 4.6

Claude Opus 4.6

Anthropic
Composer 2

Composer 2

Cursor
MiniMax M2.5

MiniMax M2.5

MiniMax

Categories

Categories

Integrations

ABAP
Claude Code
Cline
Dessix
Fortran
GLM Coding Plan
Java
Kilo Code
OpenClaw
OpenRouter
PrivatClaw
Roo Code
Rust
Shiori
Sup AI
Yonoo
Zo Computer

Integrations

ABAP
Claude Code
Cline
Dessix
Fortran
GLM Coding Plan
Java
Kilo Code
OpenClaw
OpenRouter
PrivatClaw
Roo Code
Rust
Shiori
Sup AI
Yonoo
Zo Computer
Claim GLM-4.7 and update features and information
Claim GLM-4.7 and update features and information
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Claim Lumen Outpost and update features and information