GPT-5.4 Review: The Computer-Use Frontier
GPT-5.4 brings native computer use, a 1M token context window, and serious coding muscle to OpenAI's mainline model - but at a premium price.
Articles Tagged "Agentic AI"
GPT-5.4 vs Claude Opus 4.6 - Computer Use Meets Agent Teams
GPT-5.4 leads on computer use and enterprise productivity at half the price. Claude Opus 4.6 leads on coding, agent teams, and long-context retrieval. Here is where each model wins.
GPT-5.4
OpenAI's most capable frontier model combines native computer use, 1M-token context, and three variants at $2.50/$15 per million tokens.
GPT-5.4 Lands with Computer Use and 1M Token Context
OpenAI ships GPT-5.4 with built-in computer use that beats human desktop performance, a 1 million token context window, and native Excel and Google Sheets integrations.
SambaNova SN50 RDU - Agentic Inference Chip
Complete specs and analysis of SambaNova's SN50 RDU - a TSMC 3nm dataflow chip with 3.2 PFLOPS FP8, three-tier memory, and claimed 5x speed over NVIDIA B200.
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.
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.
GLM-4.7-Flash
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.
Nemotron 3 Nano 30B-A3B
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
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.
Claude Opus 4.6
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.
