Productivity4 weeks ago
BYOK AI Workspace for Teams: Compare Models | BounceGrip
Compare and use multiple LLM models in a secure shared team workspace with your own API keys.
@uncoolavatar · X
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Compare and use multiple LLM models in a secure shared team workspace with your own API keys.
@uncoolavatar · X
View LLM model rankings across 10 benchmark questions.
fristovic · HN
She watched me look at model rankings and asked what do the numbers mean... I literally had no good way of explaining it to her so I just came up with something that is approximately in the same ballpark as some of the benchmarks out there lol
View and compare public opinions and benchmark ratings for leading AI models.
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
Upload vendor proposals to get AI-powered side-by-side comparison with red flags and citations.
@nbOlveira · X
A vendor comparison software
Compare up to 10 vehicles, configure a build, and dig into performance, EV charging, fuel and maintenance costs with a single automotive data platform.
@MohammadAa7w81 · X
Check out what I just built with Lovable!
Multi-model API that verifies AI outputs for accuracy before deployment.
kostaj · Product Hunt
Lenz Independent, multi-model fact-checking API for AI workflows
Compare AI model coverage, pricing, uptime, and latency across different AI relays.
zizheruan · HN
XTokenChecker – Verifies model identities of your AI gateway
AI fashion photography platform for e-commerce: model swap, flat-lay to on-model, garment recolor, and AI packshots, with pixel-perfect garment preservation.
@8DavideRighini8 · X
Compare frontier AI models using an aggregated 0-100 AGI Score based on 10 benchmarks.
baraklaniado · HN
I audited my AI leaderboard scale – every score dropped 6-15 points
Detect if your LLM API has been model-swapped or degraded with 6 deterministic probes.
cocodot LLM 降智检测 — 免费的 LLM API「降智/偷换模型」在线检测：填入任意 OpenAI 兼容端点的 base_url 和临时 API Key，跑 6 项探针（模型声明、动态题、能力完整性等）生成分项报告；Key 仅用于当次检测、不落库不留存，检测方法[开源](https://github.com/cocodot2026/cocodot-llmprobe)
Compare how different AI models generate frontend code and view accessibility scores.
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. •
Compare LLM API pricing across 450+ routes and calculate real monthly costs with caching and batch pricing factors.
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