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GLM-5.3-Flash ships 320B parameters in a 328 GB native-FP8 checkpoint, so the 18B active count tells you nothing about the memory you need. Here are the real hardware requirements by quantisation, plus working vLLM, SGLang, llama.cpp and Apple ...

GLM-5.3-Flash is 320B-A18B, multimodal and roughly 9x cheaper than GLM-5.2's 744B-A40B. A verified head-to-head on specs, benchmarks, cost and self-hosting -- plus the cases where GLM-5.2 still wins.

Z.ai's GLM-5.3-Flash is the model that ran anonymously as Ox Alpha: a 320B-total, 18B-active natively multimodal MoE with a 1M-token context and MIT open weights. Here are the verified specs, pricing and benchmarks.

Ox Alpha is the anonymous 1M-context stealth model that appeared on OpenRouter on 20 August 2026. What the listing actually says, the evidence behind the GLM-5 attribution theory, why the viral 80% DeepSWE number needs caveats, and how to call it ...

Hardware virtualization is the CPU feature that lets Android emulators, Docker, WSL 2 and Hyper-V run at native speed. Here's what VT-x and AMD-V actually are, how to check whether yours is on, and what to do if it isn't.

Verified Grok 4.6 API and subscription pricing as of 23 August 2026 - the $2/$6 token rates, the 200K long-context cliff, per-call tool fees, and worked cost examples.

Claude Opus 5 leads on independently verified coding benchmarks; Kimi K3 costs 40% less and ships open weights. A head-to-head on benchmarks, cost, context, openness and speed -- with an explicit decision rule.

Kimi K3 costs $3 per 1M input tokens, $0.30 on a cache hit, and $15 per 1M output -- flat across the full 1M-token context. Here are the verified rates, the rate-limit tiers, three worked cost examples, and how it prices against Claude Opus 5, GPT-5 ...

Gemini 3.7 Flash is Google's best available model as of August 2026. Intro pricing, independent benchmarks, and whether you should switch.

Qwen3.8-27B posts benchmark wins over Claude Opus 4.6 Max and ships a first-party Claude Code launcher via Ollama. We grade the claims, fix the overthinking latency problem, and redraw the hybrid local-vs-cloud line.