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A comprehensive comparison of 20+ free AI inference providers - from Google AI Studio and Groq to OpenRouter and Cerebras. Rate limits, model access, quotas, and how to get started.
Comprehensive ranking of the top large language models in February 2026, combining multiple benchmarks including reasoning, coding, knowledge, and multimodal capabilities.
Anthropic's new mid-tier model matches Opus 4.6 on coding benchmarks, ships a million-token context window, and keeps the same $3/$15 pricing as its predecessor.
Four UC San Diego researchers argue in Nature that current LLMs already constitute artificial general intelligence, igniting fierce debate across the AI community.
An in-depth review of Claude Opus 4.6, Anthropic's flagship model featuring adaptive thinking, 1M context, agent teams, and industry-leading safety alignment.
Rankings of the best open-weight and open-source large language models in April 2026, led by DeepSeek V4, Qwen 3.6-35B-A3B, GLM-5.1, and Llama 4 Maverick.
A thorough review of DeepSeek V3.2, the 671B parameter MoE model that delivers frontier-level performance at dramatically lower cost with an MIT license.
A comprehensive review of GPT-5.2, OpenAI's flagship model with three modes, 400K context, and record-breaking benchmarks across reasoning, coding, and multimodal tasks.
Anthropic's fastest and most cost-efficient model, delivering 73.3% on SWE-bench Verified and first-in-family extended thinking and computer use at $1/$5 per million tokens.
OpenAI's open-weight 21B MoE reasoning model with 131K context, Apache 2.0 license, and o3-mini-level benchmark performance running in 16 GB of memory.
OpenAI's maximum-compute reasoning model targets the hardest problems where o3 falls short, at $20/$80 per million tokens.
OpenAI's most advanced reasoning model, built for math, science, coding, and visual tasks, with 200K context and adaptive chain-of-thought at $2/$8 per million tokens.
