
Grok 4.20
Grok 4.20 is xAI's current flagship LLM with a 2M-token context window, native multi-agent mode, and reasoning toggle at $2.00/M input tokens.
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Grok 4.20 is xAI's current flagship LLM with a 2M-token context window, native multi-agent mode, and reasoning toggle at $2.00/M input tokens.

Alibaba officially launches Qwen3.6-Plus, a 1-million-token context model built for enterprise agentic coding and multimodal reasoning, now free on OpenRouter.

NVIDIA Nemotron 3 Super is the strongest open-weight model for agentic coding as of March 2026, but its efficiency-first design means real trade-offs on general knowledge and chat quality.

A practical guide to choosing between RAG and fine-tuning for your AI project, with cost comparisons, latency trade-offs, and a decision framework.

Fine-tuning trains a pre-built AI model on your own data so it learns your specific task, tone, or domain - here is how it works, what it costs, and when to use it.

A large language model is an AI system trained on billions of words to understand and generate human language. Learn how LLMs work, what they can do, and how to pick the right one.

NVIDIA's new Nemotron-Cascade-2-30B-A3B activates just 3B parameters per token, runs on a single RTX 4090, and outscores NVIDIA's own 120B model on coding and math benchmarks.

Three new papers expose a gap between what AI models know and what they do - and why that gap is harder to close than anyone assumed.

Anthropic's mid-tier model matches Opus 4.6 on computer use, leads all models on office productivity tasks, and costs five times less than the flagship at $3/$15 per million tokens.

OpenAI released GPT-5.4 mini and nano on March 17, bringing near-flagship performance at 70% and 92% lower cost respectively.

Google's Gemini 3.1 Flash-Lite delivers frontier-class benchmarks at a fraction of the cost of Pro - but a sluggish first-token response and preview-only status mean it's not for every workload.

We ran the GitHub search query from a researcher's blog post and confirmed 300+ malicious repositories with AI-generated READMEs distributing info-stealers - with the real number likely north of 1,000.