
MiniMax M2.5 Review: Frontier Code at Bargain Cost
MiniMax M2.5 matches Claude Opus 4.6 on SWE-Bench at 1/20th the price - but a spike in hallucinations and a distillation controversy complicate the story.
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MiniMax M2.5 matches Claude Opus 4.6 on SWE-Bench at 1/20th the price - but a spike in hallucinations and a distillation controversy complicate the story.

Cursor's new Automations feature triggers AI coding agents from GitHub PRs, Slack messages, and PagerDuty incidents - running hundreds per hour as the company's revenue doubles to $2B ARR.

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.

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.

OpenAI's most capable frontier model combines native computer use, 1M-token context, and three variants at $2.50/$15 per million tokens.

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.

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.

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.