Claude Opus 5.5 评测：最好的闭源模型？对比 GPT-6 Astra 与 Gemini 4 Carbon
Claude Opus 5.5 评测：对照第三方榜单与官方基准，比较 GPT-6 Astra、Gemini 4 Carbon，算清 API 成本，并给出本地开源替代方案与自测方法。
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ElevenLabs Scribe v2 评测：最好的语音识别？对比 Whisper、Nemotron 与 Voxtral
Scribe v2 评测：对照 AA-WER 榜单比较 Whisper、Nemotron、Voxtral，算出每千小时转写成本，并给出本地语音识别的硬件数据与测试方法。
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Eleven v4 Turbo 评测：最好的 TTS？对比 Qwen-Audio、Gemini TTS 与本地 Fish Drama 3
Eleven v4 Turbo 评测：对照语音竞技场比较 Qwen-Audio、Gemini TTS，算出语音智能体成本，并说明本地可用的 Fish Drama 3。
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GPT Image 2.5 评测：最好的生图模型？对比 Nano Banana 2.1 与本地 FLUX 3 Klein
GPT Image 2.5 评测：对照生图榜单比较 Nano Banana 2.1，算出每张图成本，并给出可本地运行的 FLUX 3 Klein 方案。
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DeepSeek V4.1 Flash 1017 Obliterated 解读：无审查改版的数据、局限与风险
DeepSeek V4.1 Flash 1017 Obliterated 解读：拒答率 81.62% 降至 4.30%、MMLU 持平、自报评测局限、1.51TB 体积与风险合规。
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DeepSeek V4.1 Flash 1017 Obliterated Explained: What the Numbers Show, What They Don’t, and the Risks
DeepSeek V4.1 Flash 1017 Obliterated explained: refusals from 81.62% to 4.30%, flat MMLU, the limits of self-reported evals, a 1.51 TB checkpoint and the risks.
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How to Read LLM Benchmarks Before You Pick a Local Model: A Buyer’s Guide to Leaderboards
How to read LLM benchmarks: what MMLU, GPQA, Arena votes and llama-bench measure, leaderboard traps, and a 20-prompt test you can run yourself.
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LLM 评测榜单怎么看：本地部署选模型前必须懂的几件事
LLM 评测榜单怎么看：MMLU、GPQA、Arena 投票和 llama-bench 到底测什么，榜单里的陷阱，以及你自己就能做的 20 条提示词测试。
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Ollama vs LM Studio vs llama.cpp: Which Local LLM Tool Should You Use in 2026?
Ollama vs LM Studio vs llama.cpp compared: setup effort, interface, API server, control and licensing, with a decision guide and how to switch between them.
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Local LLM Privacy: What Stays on Your Machine, What Can Leak, and a Practical Checklist
Local LLM privacy explained: what stays on your machine, where data can still leak, which Ollama and Open WebUI settings to check, and a practical checklist.
