
FlexInference: Drop your AI costs today
FlexInference: 通过多个提供商路由LLM API请求,降低成本和延迟。
Aperswal · HN
Made a Free LLM Router
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FlexInference: 通过多个提供商路由LLM API请求,降低成本和延迟。
Aperswal · HN
Made a Free LLM Router

将LLM调用路由到成本最低的合适模型,保持质量。
george_avila · Product Hunt
IQ Routing Trajectory-aware LLM routing that cuts agent cost

自动将提示词路由到最便宜的模型,节省API成本。
u/ASDKING100 · Reddit
Launched an AI API router tonight, and found a bug hours in that would've taken real payments without ever upgrading the account Built LLMLite over the past few weeks — it classifies each prompt and routes it to the cheapest model that can actually handle it, instead of hitting GPT-4o for everything. Free tier, no card needed to try it. Tonight, right as I was about to launch, ran a real transaction to test the payment flow end to end. Paddle processed it, webhook fired, signature verified

Format-agnostic LLM hub. Bring your own provider keys and route across Anthropic, OpenAI, ChatGPT/Codex, Kimi, Alibaba DashScope, and AWS Bedrock — with unified observability and c
@0xxmemo · X

对比450+个LLM API定价方案,计算实际月度成本,支持缓存和批处理定价。
u/Greywolff06 · Reddit
I built LLMPrice — a free calculator for comparing LLM API costs across 450+ pricing routes I kept running into the same problem when comparing LLM APIs: the headline token price doesn't always tell you what your actual workload will cost. Caching, batch pricing, reasoning tokens, retries, different endpoints, and OpenRouter routes can change the result quite a bit. So I built LLMPrice.com. You enter your workload once — requests, input/output tokens, caching, retries, etc. — and it com

估算LLM推理所需的显存、延迟、TTFT、TPOT与吞吐量。
popopanda · HN
LLM Inference Calculator – Estimate VRAM, Latency, and Throughput

通过单个 OpenAI 兼容 API 将请求路由至 Claude、GPT、Codex 等多个模型。
@RouteraOne · X
daily limits turning vibe coding into handless mode 😭 Routera gives you usage-based access to Claude, Codex, GPT and more, without daily or weekly caps, and it’s usually cheaper than stacking subscriptions

学习工作方式的AI助手,将任务分配给30多个前沿模型。
@otakuaakash · X

使用一个 API 访问和切换多个 LLM 提供商,同时优化推理成本。
justin2025 · Product Hunt
Auriko Trading desk for LLM calls

用对抗测试检查LLM端点安全,获取OWASP审计报告。
@aryaan_sheth · X
- LLM security for small teams

语义缓存减少LLM令牌成本和AI查询延迟。
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]

对比多个LLM API提供商的延迟和吞吐量性能。
@QAInsights · X