@spectragai · X

@MixRoute_ai · X

@pengsonal · X

500+ Hugging Face models through a single free API no credit card just an email signup 😳 launched on July 3 as a unified gateway for Hugging Face models one API key one endpoint 500+ models what you get for $0: • 500+ open-source models through an OpenAI-compatible API • no separate API keys for different providers • works with Cursor, Claude Code, Hermes, OpenCode, and anything that supports a custom base URL • email signup only setup takes about 2 minutes: 1. Go to 2. Sign up with your email 3. Generate an API key 4. Set your base URL to 5. Choose any model from the catalog and start building a few things worth knowing: • is a third-party gateway, not an official Hugging Face product • the free tier is rate-limited, but the exact limits haven't been published yet • i wouldn't build production apps that depend entirely on a free aggregator what i like is the simplicity instead

jonam21 · HN

KBlip – turns AI/LLM news across 100 sources into daily digest threads

DustinPham12 · HN

1endpoint – Cheaper access to AI models

@abdul21616 · X

something to make ai free:

fcten · V2EX

做了一个大模型 leaderboard 网站 最近一个月 CodeX 疯狂送重置，token 根本用不完，顺手做点东西。 地址：[知行录]( https://leaderboard.cn/) 排行依据主要为模型官方基准测试成绩。非主观排名。 数据会持续更新。如果有点用，欢迎各位 v 友收藏～

@intheworldofai · X

On the World of AI Bench (vibe-coding composite): Claude Fable 5 → 85.2 GPT-5.6-sol → 82.4 kimi-k3 → 81.5 Moonshot’s K3 just walked in and claimed bronze on one of the toughest coding-focused leaderboards out there.

@xiaoheihei257 · X

📢 大消息！Gemini 3.6 Flash 和 Gemini 3.5 Flash-Lite 已经在 API 正式上线了！🚀 最近模型更新越来越频繁，这次 直接把两个新版本推出来，实际用起来感觉又进了一步。 先说 Gemini 3.6 Flash： 它是 3.5 Flash 的升级版，输出质量明显更好，但价格完全没变。最关键的是 token 消耗减少了大概 17%，遇到 DeepSWE 这种复杂代码生成任务，最多能省下 65% 的 token，成本直接降下来了，性价比很高。 再看 Gemini 3.5 Flash-Lite： 这是 3.5 系列里跑得最快、最省钱的那个，输出速度最高能达到 350 tokens/s。特别适合做高频任务，比如批量处理文档、Agent 实时搜索这些场景，用起来又快又稳，不会卡顿。 的模型生态现在越来越丰富了，两个新模型都支持官方 API 直接调用，开发者用着也方便。整体看下来，AI Agent 时代的底层支持又扎实了不少。 有在做 AI 项目或者日常调用大模型的朋友，不妨去试试新版本，体验应该会挺惊喜的～ @justinsuntron @BAI_AGI #TRONEcoStar

cdnsteve · HN

Tokenstead, find AI models for your hardware

u/TasteMysterious5285 · Reddit

I built AI Census, a live field bulletin for how people are actually talking about AI models I’ve been building AI Census, a public “field bulletin” for how people are talking about current AI models. I kept running into the same problem: benchmark tables tell me how a model performs on a test, but not whether people are actually finding it useful, frustrating, reliable, etc. So I built a rolling view from public technical conversations across Reddit, Hacker News, Bluesky, GitHub, and Huggi

davidtsong · HN

Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities