LLMs & Models Articles
Browse 579 articles about LLMs & Models.
Claude Opus 4.7 vs Claude Opus 4.6: What Actually Changed?
Claude Opus 4.7 improves software engineering benchmarks by 10% and visual reasoning by 13%, but regresses on agentic search. Here's the full breakdown.
How AI Coding Models Are Triggering a Flywheel Effect Across the Industry
Anthropic's coding lead is forcing Google, OpenAI, and xAI to react. Here's why coding ability has become the central battleground in the AI race.
Gemini 3.1 Flash TTS in AI Studio: Hands-On First Look
A hands-on review of Gemini 3.1 Flash TTS in Google AI Studio: voice library, multi-speaker dialogue, and how to try the model free without API setup.
GPT Rosalind: OpenAI's Specialized Model for Drug Discovery and Biology
GPT Rosalind is a reasoning model built for biology, drug discovery, and genomics. Here's what it can do and why restricted access makes sense.
Midjourney v8.1 vs MAI Image 2: Which AI Image Model Is Faster in 2026?
Midjourney v8.1 is 3x faster than v8 and MAI Image 2 Efficient renders in 13 seconds. Compare speed, quality, and text handling.
Claude Opus 4.7: What Developers Actually Need to Know
Claude Opus 4.7 brings major gains in agentic coding, visual reasoning, and document analysis. Here's what changed and what regressed.
Gemini 3.1 Flash TTS Controllability: Inline Tags Walkthrough
A deep look at Gemini 3.1 Flash TTS's inline tag system: emotion, pacing, emphasis, voice style, and pause markers — with examples for each tag type.
Midjourney v8.1 vs Microsoft MAI Image 2: Which AI Image Model Is Faster?
Midjourney v8.1 is 3x faster than v8. MAI Image 2 Efficient beats Imagen Flash on speed. Compare both for quality, cost, and use case fit.
What Is the Jagged Frontier? Why AI Models Improve Unevenly
The jagged frontier explains why AI models excel at hard tasks while failing simple ones. Understanding it helps you pick the right model for each job.
Claude Opus 4.7 Review: What's Actually New and Who Should Upgrade
Claude Opus 4.7 brings stronger agentic coding, visual reasoning, and document analysis. Here's what changed and whether it's worth switching.
Gemini 3.1 Flash TTS Review: How It Compares to ElevenLabs
A direct review of Gemini 3.1 Flash TTS against ElevenLabs, OpenAI TTS, and Mistral. See which TTS model wins on cloning, control, and per-call pricing.
Claude Opus 4.7 Benchmark Breakdown: Vision, Coding, and Financial Analysis
Claude Opus 4.7 posts major gains in visual reasoning, SWE-bench coding, and financial analysis. Here's what the benchmarks mean for real-world use cases.
Claude Sonnet 4 and Opus 4 Deprecation: How to Migrate Your API Calls
Anthropic retired Claude Sonnet 4 and Opus 4 on June 15, 2026. Calls to those model IDs now fail. Here is which models to move to and how to migrate.
How to Migrate From Claude Opus 4.6 to Opus 4.7
Opus 4.6 is being deprecated June 15, 2026. Here's a practical guide to migrating your workflows, API calls, and agents to Opus 4.7 without breaking things.
Was Claude Opus 4.6 Nerfed? What Actually Happened
Developers complained for weeks that Opus 4.6 had quietly regressed. Here's what the evidence shows, what Anthropic said, and what Opus 4.7 fixes.
How Google's New AGI Benchmark Measures Intelligence Across 10 Cognitive Dimensions
Google DeepMind's cognitive framework tests AI against human baselines across perception, reasoning, memory, and social cognition. Here's what it means for AGI.
How to Build a Hybrid AI Architecture: Local Models + Cloud Frontier Models
Use frontier models like Claude Opus for complex reasoning and local open-source models for classification, embeddings, and transcription to maximize ROI.
How to Run Local AI Models with Claude Code to Cut Costs by 10x
Offloading embeddings, transcription, and classification to local open-source models can reduce your AI agent costs from hundreds to just a few dollars a month.
GLM 5.1: The Open-Source Model That Matches GPT and Claude on Coding
GLM 5.1 is a 754B open-weight model from ZAI that rivals GPT-5.4 and Claude Opus on coding benchmarks. Here's what it means for developers building with AI.
Inference Costs Are the New AI Wall: What Sora's Shutdown Tells Us About the Industry
Sora burned $15M/day against $2.1M lifetime revenue before shutdown. The AI industry has moved from a training wall to an inference wall—here's what that means.