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LLMs & Models Articles

Browse 572 articles about LLMs & Models.

What Is Sakana Fugu Ultra? The Multi-Model Orchestrator That Beats Frontier AI

Sakana Fugu Ultra is an LLM pool that coordinates multiple models to outperform GPT and Claude on coding benchmarks. Here's how it works.

Multi-Agent LLMs & Models AI Concepts

What Is Cursor's Composer Model? How a Coding Tool Became a Frontier AI Lab

Cursor trained Composer 2.5 on Qwen K2.5 with novel RL techniques, competing with GPT 5.5 and Opus. Learn how the SpaceX acquisition changes everything.

LLMs & Models AI Concepts Multi-Agent

GLM 5.2 vs Claude Opus 4.8: Which Model Wins for UI Generation and Agentic Coding?

GLM 5.2 beats Claude Opus 4.8 on design taste and costs up to 10x less. Compare both models on 3D scenes, dashboards, landing pages, and mini games.

LLMs & Models Claude Comparisons

How to Run GLM 5.2 in Claude Code Using OpenRouter: A 5-Minute Setup Guide

You can run GLM 5.2 inside Claude Code's harness via OpenRouter in minutes. This guide covers setup, the anthropic_base_url trick, and web search integration.

LLMs & Models Integrations Workflows

What Is GLM 5.2? The Open-Weight Model With Frontier-Level Coding and Design Taste

GLM 5.2 is a 744B MoE open-weight model that rivals Claude Opus on coding and design at a fraction of the cost. Here's what makes its architecture special.

LLMs & Models AI Concepts Comparisons

What Is Index Share? How GLM 5.2 Achieves 2.9x Fewer Compute Operations at 1M Token Context

Index Share reuses sparse attention indexers across four layers, cutting compute by 2.9x at 1M token context. Learn how this makes GLM 5.2 affordable to serve.

LLMs & Models AI Concepts Optimization

What Is Cursor's Composer Model? How the AI Coding Tool Became a Frontier Lab

Cursor is training a 1.5T parameter model from scratch using SpaceX compute. Here's what it means for AI coding agents and the future of agentic development.

LLMs & Models AI Concepts Multi-Agent

What Is GLM 5.2? The Open-Weight Model With Better Design Taste Than Claude

GLM 5.2 is a 744B MoE model that beats Claude Opus 4.8 on visual design tasks at a fraction of the cost. Here's what makes its architecture special.

LLMs & Models AI Concepts LLaMA

What Is Sakana Fugu? The Multi-Agent AI System That Beats Frontier Models

Sakana Fugu orchestrates Claude, GPT, and Gemini through one API to outperform single models on benchmarks. Here's how it works and when to use it.

Multi-Agent LLMs & Models AI Concepts

How to Use GLM 5.2 as a Backend for Your AI Agents: OpenRouter Setup Guide

Run GLM 5.2 inside Claude Code or any agent harness via OpenRouter. Step-by-step setup to cut API costs without sacrificing coding quality.

LLMs & Models Workflows Integrations

What Is GLM 5.2? The Open-Weight Model Competing with Claude Fable 5 on Coding

GLM 5.2 is a 744B open-weight model with MIT license that rivals Claude Fable 5 on coding benchmarks at a fraction of the API cost.

LLMs & Models AI Concepts Comparisons

How to Build a Multi-Model LLM Council for Better AI Decisions

Run multiple AI models in parallel, have them rank each other's answers, and synthesize a final response. Learn when LLM councils beat single-model outputs.

Multi-Agent LLMs & Models Workflows

How to Use GLM 5.2 in Claude Code with OpenRouter: 5-Minute Setup Guide

Set up GLM 5.2 as the backend model for Claude Code using OpenRouter in under 5 minutes. Get frontier-level coding at a fraction of the API cost.

LLMs & Models Workflows Integrations

Open-Weight AI Models Are Closing the Gap: What GLM 5.2 Means for Your Agent Stack

GLM 5.2 scores near Claude Opus 4.8 on coding benchmarks at 25% of the cost. Here's what the rise of competitive open-weight models means for AI builders.

LLMs & Models AI Concepts Enterprise AI

What Is GLM 5.2? The Open-Weight Model Beating Claude Fable 5 on Design Taste

GLM 5.2 is a 753B open-weight model with MIT license that rivals Claude Opus on coding and beats it on visual design quality at a fraction of the cost.

LLMs & Models AI Concepts Comparisons

What Is Google DeepMind's AGI-to-ASI Paper? Four Pathways to Superintelligence

Google DeepMind mapped four paths from AGI to ASI: scaling, algorithmic shifts, recursive self-improvement, and group agent formation. Here's what it means.

AI Concepts Multi-Agent LLMs & Models

How to Use GLM 5.2 in Your AI Workflows: Setup, Providers, and Cost Savings

GLM 5.2 delivers near-Opus-level coding performance at 85% lower cost. Learn how to set it up via OpenRouter, Z.AI, and self-hosting for your AI workflows.

LLMs & Models Workflows Automation

Multi-Model AI Agent Councils: Do Multiple LLMs Give Better Answers Than One?

Running GPT, Claude, and Gemini in parallel with blind peer review and a chairman synthesizer can beat any single model—but only for the right tasks.

Multi-Agent LLMs & Models AI Concepts

How to Use OpenRouter to Run GLM 5.2 in Claude Code for Cheaper Agentic Workflows

GLM 5.2 via OpenRouter costs $1.40 per million input tokens vs Claude Fable's $10. Here's how to set it up in Claude Code in under 5 minutes.

LLMs & Models Integrations Automation

What Is GLM 5.2? The Open-Weight Model Competing with Claude Opus on Coding

GLM 5.2 is a 753B open-weight model with MIT license that rivals Claude Opus 4.8 on coding benchmarks at a fraction of the cost. Here's what it can do.

LLMs & Models AI Concepts Comparisons