An interactive, developer-focused dashboard for benchmarking top free and commercial AI coding models. Designed for software engineers, security researchers, and developers to compare LLMs across performance scores, safety/refusal strictness, execution latency, and specialized developer workloads.
- Free vs. Commercial Tier Split: Instantly switch between free/open-weights models (GLM 5.3, DeepSeek V3/R1, Qwen 2.5 Coder) and paid API models (ChatGPT Pro/Plus, Claude 3.5 Sonnet, Gemini 2.0 Pro).
- Refusal Strictness Scale (0–100%): Clear safety index measuring guardrail strictness:
- 10%–30% (Permissive): Ideal for penetration testing, shell scripting, and low-level dev ops.
- 70%–100% (Strict): Enterprise guardrails with aggressive safety filters.
- Developer Workload Filters: View metrics specialized for:
- ⚡ Cheat Coding & Speed-Run (Inline auto-complete & high tokens/sec)
- 🛡️ Cybersecurity & Exploits (Vulnerability analysis & security tooling)
- 🌐 Web APPs & Full-Stack (Multi-file web applications & backend code)
- 🎨 UI & Design Systems (Tailwind CSS, React component visual fidelity)
- 🏗️ Complex Architecture & Agents (Repository-level refactoring & long context)
- Interactive Metrics Chart: Built with Chart.js, supporting horizontal/vertical graph orientation and focal point filtering (Performance, Refusal Rate, Speed).
- Search & Multi-Metric Sorting: Real-time filtering by model name, provider, or technical features, with sorting by Performance, Speed, Strictness, or Context Window.
- Deep-Dive Modals: Click any model card to inspect technical specifications, pricing structures, context window limits, and sample benchmark prompts.
- HTML5 & Vanilla JavaScript: Zero build steps or heavy framework dependencies.
- Tailwind CSS (CDN): Modern, enterprise dark-mode interface styled with slate/zinc tokens.
- Chart.js (CDN): Smooth animated responsive bar charts.
- Lucide Icons (CDN): Clean, lightweight icon set.
Since the application is self-contained in a single file (index.html), deployment takes under 1 minute:
- Push
index.htmlto your repository. - Go to Settings > Pages.
- Select the
mainbranch as the source and click Save.
- Clone the repository:
git clone [https://github.com/failure10/ai-model-leaderboard.git](https://github.com/failure10/ai-model-leaderboard.git)
Open index.html in any web browser.
