Minimax

Breaking news from MiniMax: the company has officially released M2.5, the latest entry in its M2 model family — and the benchmarks are going to raise some eyebrows. SOTA on coding. Twice the speed of its predecessor. And priced so aggressively that the company’s own marketing frames it as “intelligence too cheap to meter.” At $1 per continuous hour of inference at 100 tokens per second, or $0.30 at 50 tokens/sec, MiniMax M2.5 is targeting a very specific pain point for anyone building with agentic AI at scale: cost. ...

If OpenClaw is throwing 403 permission_error when it tries to call Claude, your OAuth session has been revoked by Anthropic. This is not a bug you can wait out — it’s a deliberate policy change. Here’s exactly what to do. Time estimate: 10–20 minutes Difficulty: Easy Who this affects: OpenClaw users who signed in with Claude Pro or Max subscription credentials (OAuth flow) rather than a direct API key First: Confirm You’re Affected Check your OpenClaw logs. If you see something like: ...

MiniMax just opened the floodgates. This morning, the Chinese AI lab officially open-sourced its entire M2 model family — M2, M2.1, and M2.5 — along with the Forge RL training framework that built them. All weights are on HuggingFace. All code is on GitHub. And the models are already designed to drop into the agent workflows you’re likely already using. This is a big deal. Here’s what you need to know. ...

Getting OpenClaw running has always required a server — a Linux box, a VPS, a Raspberry Pi, something you configure, maintain, and keep online. MiniMax just changed that. MaxClaw, launched yesterday at maxclaw.ai, offers one-click cloud deployment of a fully functional OpenClaw instance in under 10 seconds. No server. No Docker. No config files. MiniMax is a Chinese AI unicorn that’s been building foundation models and infrastructure quietly while Anthropic and OpenAI dominate Western headlines. Their M2.5 model — a 229-billion parameter mixture-of-experts architecture — powers MaxClaw under the hood. But the product is OpenClaw-compatible: your agents, your skills, your integrations, running in their cloud. ...

Anthropic’s Bombshell: 16 Million Queries, 24,000 Fake Accounts, Three Chinese AI Labs Anthropic went public Monday with an accusation that reads like a corporate espionage indictment: three Chinese AI laboratories — DeepSeek, Moonshot, and MiniMax — coordinated an industrial-scale attack designed to extract Claude’s capabilities by flooding the API with queries from fake accounts. The numbers in Anthropic’s official blog post are staggering: 16 million queries run through 24,000 fraudulent accounts using proxy services to obscure the traffic’s origin. The goal, Anthropic alleges, was model distillation at scale — using Claude’s outputs as training data to build competing models without paying the research costs. ...