AI MODELS

DeepSeek V4 splits into Flash and Pro, ships a 1M context window, and undercuts every closed model on price. Here's how to wire it up with the OpenAI SDK, when to pick it over Claude or GPT, and what changed since V3 and R1.

A practical walkthrough of Nemotron 3 Super: latent mixture of experts, hybrid Mamba transformer architecture, 1M context, reasoning modes, and the code you actually need to run it on NVIDIA hardware.

Install Ollama and LM Studio, pull your first model, and run AI locally for coding, chat, and automation - with zero cloud dependency.

Anthropic's Claude Haiku 4.5 delivers Sonnet 4-level coding performance at one-third the cost and twice the speed. Here is what developers need to know.

DeepSeek's R1 and V3 models deliver frontier-level performance under an MIT license. Here's how to use them through the API, run them locally with Ollama, and decide when they beat closed-source alternatives.

Meta's Llama 4 family brings mixture-of-experts to open source with Scout and Maverick. Here's how to run them locally, access them through APIs, and decide when they beat the competition.

Claude vs GPT for real TypeScript work: benchmarks, pricing, model families, and the practical differences that matter when picking a coding model.

A developer's comparison of OpenAI and Anthropic ecosystems - models, coding tools, APIs, pricing, and which to choose for different use cases.

NVIDIA's Nemotron 3 Super combines latent mixture of experts with hybrid Mamba architecture - 120B total parameters, 12B active per token, 1M context, and up to 4x more experts at the same cost.

xAI has launched Grok 4, claiming the title of the world's most powerful AI model. With a $300/month Super Grok tier, saturated AMI benchmarks, and a coding model on the horizon, this is xAI's bigge...

Alibaba released Qwen 3 with eight models under an Apache 2 license, including a 235B mixture-of-experts flagship that beats Llama 4 Maverick on nearly every benchmark while being smaller and cheaper to run.

xAI launched Grok 3 with 200,000 GPUs, outperforming GPT-4o, Sonnet 3.5, and DeepSeek R1 on reasoning benchmarks. Here is what the hardware, the benchmarks, and the new features actually mean for developers.