1
Opus 5狂烧6.9亿token做游戏，GPT-5.6用5美元复刻了
单条提示词狂烧6.9亿token做游戏，GPT-5.6却用5美元复刻，AI游戏开发成本战一触即发。
据说GPT-5.6很适合拿来做游戏
2
One API key across OpenAI, Claude and Gemini: how to compare token cost per model
别再只看每百万token单价，输入输出占比才是成本关键，用统一API密钥对比三家模型费用。
Bottom line: if you want one API key across OpenAI, Claude and Gemini and you're choosing mainly on token cost, put a thin router in front of your app…
3
DeepSeek-V4-Flash 正式版跑分报告：AI 单任务成本比 GPT-5.6 Luna 低约 60%
DeepSeek-V4-Flash 正式版跑分出炉，单任务成本比 GPT-5.6 Luna 低约 60%，性价比优势明显。
IT之家 8 月 1 日消息，深度求索（DeepSeek）昨日（7 月 31 日）通过 API 文档发布日志，宣布 DeepSeek-V4-Flash 正式版 API 上线公测。 @ArtificialAnlys、@arena 等 AI 跑分基准平台今天（8 月 1 日）同步更新了相关基准测试结果。…
4
Show HN: Hunch – A local MCP that lets your LLM use your Mac in the background
本地MCP工具Hunch让LLM在后台操控Mac完成53项任务仅花费6美元，成本仅为同类产品的五分之一，效率惊人。
Hey HN, like the title says, I built a local MCP that lets your LLM drive your Mac in the background, without stealing your focus. I benchmarked Hunch…
5
A visual calculator to estimate and compare LLM API pricing
可视化对比各家大模型API定价，跑工作流前先算清token成本，省钱又省心。
Article URL: https://neutraloverdrive.com/tools/token-calculator/ Comments URL: https://news.ycombinator.com/item?id=48817123 Points: 1 # Comments: 0
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Debugging Benchmark: DeepSeek V4 Pro vs MiMo V2.5 Pro
DeepSeek V4 Pro vs MiMo V2.5 Pro调试基准测试：谁更快更便宜地修复并发bug？
A real-world comparison of two LLMs on a genuine race condition bug from GitHub TL;DR Metric DeepSeek V4 Pro MiMo V2.5 Pro Time ~8 min (2 rounds) ~15 …
7
I Compared the Real Cost of Claude Code, OpenRouter, and Image APIs
手把手算清三大AI服务的月费账单，开发者省钱必看。
An API request that looks cheap on a pricing page can become much more expensive inside a real product. The pricing page normally gives you the unit r…
8
谷歌更新安卓开发最佳 AI 模型榜单：Gemini 3.5 Flash 成本最贵，约为 DeepSeek V4 Flash 的 17.5 倍
成本差17.5倍！谷歌安卓开发AI模型榜单揭示Gemini 3.5 Flash最贵，GPT-5.5得分最高
IT之家 6 月 16 日消息，谷歌昨日（6 月 15 日）更新其 Android Bench 榜单， 自家 Gemini 3.5 Flash 模型成绩明显低于外界预期。 IT之家注：Android Bench 是谷歌官方推出的安卓开发任务基准测试，用来评估不同 AI 模型在代码编写、问题解决与开发…
9
The Developer's Guide to AI Translation Without Going Broke
开发者必看！对比GPT-4o与DeepSeek V4 Flash翻译成本，省89%的实用省钱攻略。
Look, the Developer's Guide to AI Translation Without Going Broke I still remember the first time I looked at my translation API bill. Three hundred a…
10
The Comments Got Good. That's How I Knew.
当评论区的技术辩论比正文还精彩，就是文章真正出圈的时刻。
I wrote a post about model distillation. The comments were thoughtful, specific, technically sharp — and that's exactly what made me check whether any…
11
Stop Guessing: Real p99 Latency Data Comparing DeepSeek, Qwen, Kimi, and GLM
真实p99延迟数据对比DeepSeek、Qwen、Kimi、GLM，成本与性能全解析，选模型不再靠猜。
I've spent the last three months running production workloads across all four major Chinese AI model families — DeepSeek, Qwen, Kimi, and GLM — throug…
12
DeepSeek V4-Pro Just Got 4x Cheaper. But Here's What Nobody's Talking About
DeepSeek V4-Pro降价4倍，比GPT-5.5便宜20-35倍，AI agent和自动化编码成本将颠覆，但有个隐藏陷阱值得警惕。
DeepSeek V4-Pro Just Got 4x Cheaper. But Here's What Nobody's Talking About DeepSeek dropped a bombshell on May 22: the 75% discount on V4-Pro is now …
13
用苹果 M5 Max 跑大模型真的省钱吗？有人算了一笔账
实测告诉你：苹果 M5 Max 本地跑大模型，速度慢、成本反超云端 API，算账对比很清晰
先上结论： 使用 14寸 MacBook Pro M5 Max 高配，64GB 内存的情况下，速度比云端大模型慢、实际成本也比云端大模型贵… 推荐：直接向大模型厂商付费充值使用。 一些数据 这是来自 williamangel 的一组数据，文章主要在计算「本地跑 LLM 到底贵不贵」，使用