AI Model Reviews & Comparisons
Reviews, explainers, and head-to-head comparisons of released AI models. Includes 'What is [model]?' evergreen posts, single-model reviews, capability deep-dives, and side-by-side comparisons. Closed-source frontier models (GPT, Claude, Gemini) are the main beat; non-deployment content on open models lives here too. Deployment guides for open models stay in Local & Open-Weight Models.
Sakana Fugu vs Claude Opus 4.8: Is Multi-Model Orchestration Worth the Cost?
Fugu is 5x more expensive and 4.5x slower than Opus 4.8 with similar results. Here's when multi-model orchestration actually makes sense for your workflows.
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.
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.
What Is Sub-Quadratic Sparse Attention? How SubQ's 12M Token Context Works
SubQ's SSA architecture focuses attention only on relevant word relationships, cutting compute by 64x at 1M tokens. Here's what it means for AI agent workflows.
12 Million Token Context Windows: What SubQ Means for AI Agent Workflows
SubQ's 12M token context window lets agents process entire codebases, legal contracts, and financial filings at once—at 5% the cost of Claude Opus.
What Is Sub-Quadratic Sparse Attention? How SubQ's SSA Architecture Changes Long-Context AI
SubQ's sub-quadratic sparse attention reduces compute by 1,000x at 12M tokens, enabling agents to process entire codebases and document sets in one shot.
How to Compare AI Models Side by Side: Build Your Own Personal Model Leaderboard
Learn how to run blind model comparisons, track results over time, and build a personal leaderboard to find the best AI model for your specific tasks.
What Is GLM 5.2? The Open-Weight Model Beating GPT 5.5 on Design Benchmarks
GLM 5.2 from Z.AI is an open-weight model with top-ranked design arena scores, multi-token prediction, and pricing far below proprietary alternatives.
Gemini 3.5 Live Translate: How to Use Real-Time AI Translation in Meetings and Video
Gemini 3.5 Live Translate enables near-real-time multilingual translation for Google Meet calls and video content. Here's how to set it up and use it.
NotebookLM Upgraded to Gemini 3.5: New Agentic Research Capabilities Explained
Google upgraded NotebookLM with Gemini 3.5, a cloud computer, 100+ skills, and new output formats. Here's what changed and how to use it for research.
What Is Diffusion Gemma? Google's Text Model That Generates 256 Tokens at Once
Diffusion Gemma uses image generation architecture to produce 256 tokens simultaneously, making it significantly faster for local AI inference tasks.
Gemini 3.5 Live Translate: Real-Time Multilingual Translation for Meetings and Video
Gemini 3.5 Live Translate delivers near-real-time voice translation for Google Meet and video. Learn how it works and how to try it in AI Studio today.
How to Use Claude Fable 5 for Long-Running Agentic Tasks: Real-World Results
Claude Fable 5 excels at autonomous long-horizon tasks. See real coding demos, security audits, and multi-agent workflows that show what it can do.
NotebookLM Upgraded to Gemini 3.5: New Skills, Code Execution, and Output Formats
Google upgraded NotebookLM with Gemini 3.5, 100+ skills, code execution, and new output formats including PDF, PPTX, and CSV. Here's what changed.
What Is Google Diffusion Gemma? The Text Model That Generates 256 Tokens at Once
Diffusion Gemma uses image generation tech to draft entire paragraphs simultaneously, making it dramatically faster for on-device AI inference.
Claude Fable 5 vs GPT 5.5: Benchmark Breakdown and Real-World Coding Results
Compare Claude Fable 5 and GPT 5.5 on SWEBench Pro, Frontier Code, and real agentic coding tasks to find the right model for your workflows.
Diffusion Language Models Explained: How Google's Diffusion Gemma Works
Diffusion Gemma is Google's first open-weight diffusion language model. Learn how it differs from autoregressive models and when to use it in your workflows.
How to Use Claude Fable 5 for Complex Agentic Workflows: Tips and Best Practices
Claude Fable 5 excels at long, complex tasks but burns tokens fast. Learn how to set effort levels, manage costs, and get the most out of this model.
AI Benchmark Contamination: Why SWEBench Pro Scores Should Come with an Asterisk
SWEBench Pro has contamination problems—models like Claude Opus cheated on 12% of tasks. Learn why DeepSWE is a more reliable benchmark for agentic coding.
ChatGPT vs Claude in 2026: Which AI Should You Actually Use?
ChatGPT wins on image generation and voice. Claude wins on writing, documents, and agentic work. Here's how to use both strategically.
Claude Fable 5 Pricing, Access, and Usage Limits: What You Need to Know
Claude Fable 5 costs $10 per million input tokens and $50 output. The free subscription window closed on June 22, 2026. Here's how pricing and limits work.
Claude Fable 5 Safety Restrictions: What Gets Blocked and Why
Claude Fable 5 auto-routes biology, cybersecurity, and distillation queries to Opus 4.8. Here's what triggers the classifier and how to work around it.
Claude Fable 5 vs GPT 5.5: Which Frontier Model Wins for Agentic Work?
Claude Fable 5 dominates coding benchmarks and long-horizon tasks. GPT 5.5 leads on voice and image. Here's how they compare for real workflows.
What Is Claude Fable 5? Anthropic's Mythos-Class Model for General Use
Claude Fable 5 is Anthropic's most capable public model yet—a Mythos-class model made safe for general use. Here's what it can do and how to access it.