I am speed.
A fast.com style benchmarking tool for LLM APIs. Compare OpenAI, Anthropic, Groq, Cerebras, Fireworks AI, Mistral, OpenRouter, Google Gemini, x.ai, z.ai, Kimi, and local models. See live streaming output with real-time throughput metrics. Race Mode lets you run multiple providers in parallel and wat
I am speed. launched on June 16, 2026 with 9 votes, #1,453 of 22,647 launches that month and more than 90% of that year's launches.
What it does
A fast.com style benchmarking tool for LLM APIs. Pick a provider and model, and see live streaming output with real-time throughput metrics.
A fast.com style benchmarking tool for LLM APIs. Compare OpenAI, Anthropic, Groq, Cerebras, Fireworks AI, Mistral, OpenRouter, Google Gemini, x.ai, z.ai, Kimi, and local models. See live streaming output with real-time throughput metrics. Race Mode lets you run multiple providers in parallel and watch them race side-by-side.
Does a similar job
all alternatives →- ATA tool to benchmark LLM APIs (OpenAI, Claude, local/self-hosted)2025 · llmapitest.com · ▲55
I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…
LLM StatsOct 2025 · llm-stats.com · ▲293I was overspending on GPT-4o. It was really hard to compare different models I could switch to, so I built this LLM comparison tool. It shows leaderboards, pricing, and performance data across 100+ LLMs (including all major providers and open-source models). Key features: - Live pricing comparisons - Benchmark Scores (MMLU, HumanEval, GPQA, etc.) - Context length vs cost analysis - Speed/throughput tests across providers - Quality vs price visualizations - Open source (all data verifiable) Try it out: https://llmstats.com I'd like to know your opinion :) Tech stack: Next.js,…
Llmspeed – feel how fast a local LLM runs before you buy the hardware6d ago · llmspeed.dev · ▲329Pick hardware and a model, and feel the real speed of a local LLM before you buy. Simulates tokens/sec and time-to-first-token from verified benchmarks for GPUs, Macs, and more.
Live AI Design BenchmarkFeb 2026 · shuffle.dev · ▲81Hey HN, We built a different kind of AI benchmark for UI generation. Instead of static leaderboards or curated screenshots, you can watch multiple models generate the same design live, side-by-side, and decide which output is actually better. Under the hood, we call AI models from Anthropic (Opus), OpenAI (GPT), Google (Gemini), and Moonshot AI (Kimi). Each model generates a real, editable project using Tailwind CSS (not screenshots or canvas exports). You can export it for Next.js, Laravel (Blade), Symfony (Twig), WordPress, or plain HTML. What we noticed building this: * Popular benchmarks…
Find the best local LLM for your hardware, ranked by benchmarksMay 2026 · github.com · ▲283Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly. - Andyyyy64/whichllm
- UDUnify – Dynamic LLM Benchmarks and SSO for Multi-Vendor Deployment2024 · ▲91
Hey HN! I’m the founder of Unify, and we’ve just released our Model Hub, which provides a collection of LLM endpoints with live runtime benchmarks all plotted across time: https://unify.ai/hub A key finding is that static tabular runtime benchmarks for LLMs simply do not work. It’s necessary to take a time-series perspective, and plot the variations through time. We currently have 21 models provided by: Anyscale, Perplexity AI, Replicate, Together AI, OctoAI, Mistral AI and OpenAI, with more on the roadmap. We test across different regions (Asia, US, Europe), with varied…
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