开发者工具3 weeks ago
CostPerPrompt — Live AI API Pricing & LLM Cost Calculators
计算230多个AI API模型的成本并模拟预算影响
ahmed_hassan7 · HN
CostPerPrompt – Live AI API pricing and real-workload cost calculators
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计算230多个AI API模型的成本并模拟预算影响
ahmed_hassan7 · HN
CostPerPrompt – Live AI API pricing and real-workload cost calculators
为 AI agents 提供请求人工批准的结构化方式，支持安全重试和决策验证。
@GetAgentHail · X
AgentHail — a control layer for AI agents to request approval, execute work, and return verifiable results. Would you sign up or leave?
对比和评估 AI 模型在编码、推理、代理和其他基准测试中的表现。
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities
对比 AI 模型在编码任务上的表现,支持成本追踪和 ELO 排名。
@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.
统一访问多个AI模型(Grok、GPT、Gemini、Claude)，支持账号和API中转。
GPTGeminiGrok.AI — Grok / SuperGrok 为主的 AI 模型服务入口，同时提供 GPTPlus、GeminiPro、ClaudeProMax 账号及 API 中转
XTokenChecker是一个AI模型目录，用于对比不同AI网关上的覆盖率、定价和延迟。
zizheruan · HN
XTokenChecker – Verifies model identities of your AI gateway
为开发者提供比Claude更快、更便宜的AI API平台。
@WebWrightAI · X
连接 1000+ SaaS 应用到 AI 代理的开源 SDK
oomol-lab · GitHub
open-connector Open-source auth gateway connecting 1000+ SaaS providers to AI agents through SDK, CLI, MCP, HTTP, and OpenAPI.
在单一工作空间中访问GPT、Claude、Gemini和Llama等多个AI模型。
not_wowinter14 · HN
GPT, Claude, Gemini. Ask them all. Pay for one
Lower your AI costs through one developer-friendly API platform. Start with ChatGPT and Claude, transparent usage billing, and familiar protocols.
@kiraroute · X
Quick Start is now built into KiraRoute. ⚡ Set up Node.js, Codex, Claude Code, OpenClaw, or Hermes—or copy ready-to-run API examples. Dynamic endpoints, one-click copy, mobile-friendly, in English and Chinese. →
在OpenVibeEval中对比不同AI模型生成前端代码和可访问性评分。
u/12qwww · Reddit
I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •
