
DMC | API for Open-Source AI Models from China | New API
通过隐私保护的API访问中国开发的开源AI模型。
@Jenny5143197635 · X
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通过隐私保护的API访问中国开发的开源AI模型。
@Jenny5143197635 · X

通过现有 API 订阅同时运行多个 AI 模型。
@ContinuumCode · X

用一行代码部署强大的 AI 模型,享受业界最具竞争力的 GPU 价格。
Synexa AI — 一行代码部署 AI 模型 (Replicate 50% 低价平替),Synexa 是运行无服务器 AI API 最具性价比的解决方案,提供业界最具竞争力的 A100 GPU 价格,相比其他服务商可节省高达 62% 的 AI 算力成本 - [更多介绍](https://github.com/1c7/chinese-independent-developer/issues/47

用一个 API 密钥访问多个 AI 模型。
@lologfts · X
built Apiarium, with one api key you can choose multiple Ai models, easy integration

An LLM gateway for OpenAI, Anthropic, Google and Azure. Every request logged, priced to the token, and audited for waste you can actually recover.
@razdagan3 · X

开源LLM和视频模型的OpenAI兼容API
bingus-bongo · HN
Use GLM-5.3 in Cursor today via tokengo API

Rightsize OpenAI and Anthropic models. See what drives your AI bill, then validate cost-efficient model changes without rewriting your application.
@SpendLensAI · X

Costbase 监控 OpenAI、Anthropic 和 xAI 的 AI API 成本;连接供应商密钥即可使用。
@ylin_ · X
So my launch of – the simple, proxy-less AI model cost monitoring software – didn’t generate much response. I said I would build this in public, so here is an update. I am very happy with the app for my own use. It’s everything I want it to be. So even without users, I’m glad I built this just for myself. It’s probably not accurate to say I “launched” this. All I did was publish the app, make a single post on X, LinkedIn and Show HN. That’s not really any sort of distribution effort needed for an app. So I will continue to get the word out regarding Costbase on Reddit, and other places, as well as engaging with X users who have problem with AI cost. (If you guys have ideas, lmk) It’s just a small app, a side project, so I won’t put too much time marketing this before calling it quit. Pre-AI, I’ve always spent so much effort building an app that I don’t have any time left for marketing (I also run an ERP consultancy). Now, building is pretty much automated, so th

对比LLM API价格,轻松计算月度使用成本。
u/ahmedk2002 · Reddit
I built a real-time LLM API pricing comparator — because I was tired of not knowing the actual cost difference between models I use LLMs daily at work and kept running into the same frustration: provider pricing pages give you raw numbers per million tokens, but no way to understand what that actually means for your specific use case. Is GPT-4o really that much more expensive than Claude Sonnet for 10k requests per day? What about DeepSeek vs Gemini Flash for high-volume summarization? I

通过统一API使用OpenAI和Anthropic模型,免费且无需登录。
@abdul21616 · X
something to make ai free:

Orca是用于构建和部署AI代理的平台,提供隔离执行和成本计量。
@okiktech · X

The unified interface for every AI model. Starts from Rp 10.000 ($0.60 USDT) with non-expiring balance. Pay only for what you actually use.
@gutsai_id · X
Built GutsAI: a unified AI API for developers with 30+ models (GPT, Claude, Kimi, GLM, and more), OpenAI & Anthropic compatibility, non-expiring PAYG starting at $0.60. Give it a try: