他把Opus、GPT、Sonnet全换成中国模型：成本降87%，性能只降4%，收入不变。附完整迁移方法。
用户将Opus 4.8替换为Kimi K2.7进行推理任务，基准差距约8%，价格便宜11倍。代码生成从GPT-5.5替换为Qwen 3.7 Max，基准差距约18%，价格便宜7倍。智能体循环与工具调用从Sonnet 4.7替换为GLM 5.2，基准差距约3%，输入价格便宜5倍。图像生成从GPT-Image-2替换为Wan 2.5，基准差距约5%，价格便宜8倍；视频生成从Sora 2替换为Kling 3.0，差距大致相等，价格便宜6倍。30天后运营成本下降87%，输出质量平均下降4%，收入不变，且模型可本地运行、保障数据安全。
原文：https://t.co/GGMQc75SIx
原文： x.com/DeRonin_/statu… Ronin @DeRonin_ My entire AI stack is now Chinese 🇨🇳 87% cheaper. same revenue swaps by task: 1. reasoning / backend brain Opus 4.8 → Kimi K2.7 benchmark gap: ~8% · price: ~11x cheaper 2. code generation GPT-5.5 → Qwen 3.7 Max benchmark gap: ~18% · price: ~7x cheaper 3. agent loops + tool calling Sonnet 4.7 → GLM 5.2 benchmark gap: ~3% · price: ~5x cheaper on input 4. cheap volume / bulk processing GPT-5.5 mini → MiMo V2.5 benchmark gap: ~6% · price: ~12x cheaper 5. image generation GPT-Image-2 → Wan 2.5 benchmark gap: ~5% · price: ~8x cheaper 6. video generation Sora 2 → Kling 3.0 benchmark gap: roughly equal · price: ~6x cheaper [ result after 30 days: ] operating costs dropped 87%, output quality dropped 4% on average, revenue unchanged the most important that these models will be not banned in a month and i can run them locally nobody will steal my data and i can learn them as i need full article drops tomorrow with: > exact routing logic per task type > the 2 cases where I still pay for American > the migration playbook anyone can copy in a weekend VERY IMPORTANT to get migrated now, while it's not too late 🔗 View Quoted Tweet 💬 1 🔄 0 ❤️ 0 👀 492 📊 1 ⚡
- Microsoft AI06-29 05:49原文