Agentic AI Benchmarks Leaderboard - GAIA, WebArena, BFCL, and Tau2-Bench
Rankings of the best AI models and agent frameworks on agentic benchmarks measuring real-world task completion, web navigation, function calling, and multi-turn tool use.
Agentic ai
OpenAI Codex App Review: The Agent Command Center That Wants to Replace Your IDE
A hands-on review of OpenAI's Codex desktop app for macOS - a multi-agent orchestration hub that manages parallel coding tasks, automations, and worktrees, but stumbles on platform exclusivity and usage limits.
Kimi K2.5
Moonshot AI's Kimi K2.5 is a 1T-parameter MoE model activating 32B per token with native multimodal vision via MoonViT-3D, Agent Swarm coordination of up to 100 sub-agents via PARL, and top-tier math and coding benchmarks under a modified MIT license.
MiniMax M2.5
MiniMax M2.5 is a 230B MoE model (10B active) that scores 80.2% on SWE-Bench Verified while costing 1/10th to 1/20th of frontier competitors like Claude Opus 4.6 and GPT-5.2.
GPT-5.3 Codex
OpenAI's most capable agentic coding model combines frontier code generation with GPT-5-class reasoning, 400K context, and a 77.3% Terminal-Bench 2.0 score.
Gemini 3.1 Pro Is the Best Model You Can't Use: 99-Hour Lockouts, Phantom Quota Drain, and Broken Tool Calling
Four days after launch, Gemini 3.1 Pro's benchmark-topping performance is overshadowed by 90-hour lockouts for paying subscribers, quota draining while idle, and tool-calling bugs that break LangChain, n8n, and RooCode. Developers are switching to Claude.
