codersera.com / .codersera-com-blog

The anonymous Stealth model on OpenRouter had a 1M context, a 524,288-token output cap found on no other model, and no lab behind it. Here is the evidence for MiniMax M3.1-Flash-Preview, the counter-case, and how to fingerprint a stealth model ...

A practical guide to sandboxing and scoping AI coding agents. Verified threat model, what Claude Code, Codex, Cursor and Grok Build give you natively, container and worktree containment patterns, MCP risk, a ten-minute checklist, and an honest ...

Meta published the Muse Gadget SDK on 2 October 2026: open-source firmware that turns a $12 ESP32 board or a spare Raspberry Pi into a device your Muse agent can drive. The 24 supported boards, real costs, and the clause that caps it at 50 free units ...

Alibaba added three Qwen3.8 SKUs in September with no launch post. Max-Prime is a higher-throughput serving tier at double the price, not new weights. Omni-Flash accepts audio and video but returns text only, at Flash pricing. Full lineup, pricing .. ...

Z.ai added GLM-5.3 Prime and GLM-5.3 FlashX in September 2026. Neither is a new model -- both are accelerated serving tiers of weights that already shipped. Here is the full GLM-5.3-era lineup, with verified prices, licences and a decision rule.

Verified Grok 4.7 API pricing: $2 input and $6 output per 1M tokens, doubling at 200K prompt tokens, plus server-side tool fees and worked monthly cost examples.

GPT-6 Luna costs $0.10/1M input and $0.50/1M output with a 1,050,000-token context window - exactly half the price of GPT-5.6 Luna. Full specs, independent benchmarks, the 272K pricing cliff, and whether to migrate.

Your Premier Destination for Technology Updates, Tutorials, Freelancer Resources, and Management Insights - Connecting Developers, Designers, Finance Experts, Executives, and Entrepreneurs.

Your Premier Destination for Technology Updates, Tutorials, Freelancer Resources, and Management Insights - Connecting Developers, Designers, Finance Experts, Executives, and Entrepreneurs.

Run Qwen-Image-2.1 locally on 8-24GB GPUs: official ComfyUI files, GGUF quants for low VRAM, and the Diffusers pipeline. Includes a VRAM table, transparent PNG and multi-reference editing, the vendor benchmark, and the non-commercial license caveat.