
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.
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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.

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.

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.

Zhipu's GLM-4.7-Flash is a 30B-A3B MoE model that posts 59.2% on SWE-bench Verified and 79.5% on tau2-Bench while running on a single RTX 4090 - MIT licensed and free via the Z.AI API.

NVIDIA's hybrid Mamba2+MoE model packs 31.6B total parameters but activates only 3.2B per token, delivering frontier-class reasoning with 3.3x the throughput of comparable models on a single H200 GPU.

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.

Anthropic's flagship model leads on agentic coding, enterprise knowledge work, and long-context retrieval with a 1M-token window, 128K output, and agent teams at $5/$25 per million tokens.

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.

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.

A former Scale AI and DeepMind researcher told OpenClaw to only suggest email deletions. It hit a context limit, forgot the rule, and trashed hundreds of messages before she could stop it.

Microsoft is combining mass layoffs of middle managers with Large Action Model swarms and Copilot autonomous agents that handle resource allocation, project oversight, and multi-step business processes without human supervisors.

Four competing protocols from Visa, Mastercard, Stripe/OpenAI, and Google aim to control how AI agents spend money on your behalf in a market McKinsey projects at $5 trillion by 2030.