AI Rankings Leaderboard

GitHub 作者 LeoYeAI/openclaw-master-skills v1.20.1

Comprehensive AI leaderboard for LLM models and AI applications. Query model rankings, model IDs, and pricing from OpenRouter, Artificial Analysis, and Pinchbench. Trigger words include "AI rankings", "LLM leaderboard", "model comparison", "AI apps ranking", "best AI models", "model benchmark", "free models", "免费模型", "OpenRouter model ID", "OpenRouter 模型", "Artificial Analysis", "artificial analysis", "AI 智力指数", "intelligence index", "coding index", "coding排行榜", "agentic index", "agentic排行榜", "模型速度排行", "模型价格对比", "model ID for", "OpenRouter model parameter".

安装 / 下载方式

TotalClaw CLI推荐
totalclaw skills install shop:github:LeoYeAI~openclaw-master-skills~ai-leaderboard
cURL直接下载,无需登录
curl -fsSL https://skills.taituai.com/api/skills/github%3ALeoYeAI~openclaw-master-skills~ai-leaderboard/file -o ai-leaderboard.md
# AI Rankings Leaderboard Skill

## Description

A comprehensive skill for querying AI model and application rankings from multiple authoritative sources. Get the latest insights on LLM performance, popularity, pricing, and value metrics.

## Data Sources

| Source | URL | Focus |
|--------|-----|-------|
| **Artificial Analysis** | https://artificialanalysis.ai/ | Intelligence Index, Speed, Price benchmarks |
| LLM Leaderboard | https://artificialanalysis.ai/leaderboards/models | Model comparison (100+ models) |
| LLM API Providers | https://artificialanalysis.ai/leaderboards/providers | API Provider comparison (500+ endpoints) |
| Image & Video Leaderboards | https://artificialanalysis.ai/ (Image & Video section) | Image/Video model ELO rankings |
| OpenRouter Rankings | https://openrouter.ai/rankings | Model usage & popularity |
| OpenRouter Apps | https://openrouter.ai/apps | AI applications ranking |
| OpenRouter Models | https://openrouter.ai/models | All available models with pricing |
| OpenRouter Free Models | https://openrouter.ai/models?q=free | Free models only |
| Pinchbench | https://pinchbench.com/ | Model benchmark (Success Rate, Speed, Cost, Value) |

## Features

### 1. Artificial Analysis LLM Leaderboard

**Intelligence Index (智力指数)**
- **Artificial Analysis Intelligence Index v4.0**: Comprehensive model intelligence score
- **10 evaluation dimensions**: Multiple independent assessment criteria
- **Frontier Models**: Top intelligence models (Gemini 3.1 Pro, GPT-5.4, Claude Opus 4.6, etc.)
- **Reasoning Models**: Identifies models with reasoning capabilities

**Artificial Analysis Coding Index** (编程能力指数)
- URL: https://artificialanalysis.ai/?intelligence=coding-index
- 评估模型在编程任务上的表现
- 综合多个代码评测基准

**Artificial Analysis Agentic Index** (智能体能力指数)
- URL: https://artificialanalysis.ai/?intelligence=agentic-index
- 评估模型的自主智能体能力
- 包括工具使用、多步骤推理、任务完成等

**Performance Metrics**
| Metric | Description |
|--------|-------------|
| Intelligence Index | Overall model intelligence score (higher is better) |
| Speed | Output tokens per second (tokens/s) |
| Blended Price | Combined USD per million tokens (3:1 input/output ratio) |
| Input Price | Price per million input tokens (USD) |
| Output Price | Price per million output tokens (USD) |
| Latency (TTFT) | Time to First Token in seconds |
| Context Window | Maximum context length supported |

**Model Comparison Table Columns**
| Column | Description |
|--------|-------------|
| Features | Model features (reasoning badge, etc.) |
| Model | Model name with logo |
| Context Window | Max context length |
| Creator | Provider/Company |
| Intelligence Index | AI intelligence score |
| Blended USD/1M Tokens | Combined input/output price |
| Median Tokens/s | Median output speed |
| Latency First Chunk (s) | Time to first token |
| Further Analysis | Link to detailed analysis |

**Filters Available**
| Filter | Options |
|--------|---------|
| Frontier Models | On/Off |
| Open Weights | On/Off (开源权重模型) |
| Size Class | Small, Medium, Large, etc. |
| Reasoning | On/Off (推理模型筛选) |
| Model Status | Current, Preview, Discontinued |

### 2. Artificial Analysis LLM API Providers Leaderboard

**Comparison of 500+ AI Model Endpoints**

| Column | Description |
|--------|-------------|
| API Provider | Provider name (Cerebras, Groq, Fireworks, etc.) |
| Model | Model name |
| Context Window | Max context length |
| License | Model license |
| Intelligence Index | Model intelligence score |
| Blended USD/1M Tokens | Combined price |
| Median Tokens/s | Output speed |
| Median First Chunk (s) | Latency (TTFT) |
| Total Response (s) | End-to-end response time |
| Reasoning Time (s) | Reasoning model computation time |
| End-to-End Response Time | Full request-response cycle |

**Key Providers**
- Cerebras
- Eigen AI
- Fireworks
- SambaNova
- Together.ai
- Hyperbolic
- Nebius Fast
- Google Vertex
- Groq
- Azure OpenAI
- AWS Bedrock
- OpenAI Direct
- Anthropic Direct
- And 10+ more...

### 3. Artificial Analysis Image & Video Leaderboards

**Text-to-Image Leaderboard**
- ELO scores from blind preference votes
- 95% confidence intervals displayed
- Top models: GPT Image 1.5, Imagen 4 Ultra, Gemini Image models, etc.

**Video Leaderboards**
| Category | Description |
|----------|-------------|
| Text to Video (with Audio) | Text generates video with sound |
| Text to Video (without Audio) | Text generates silent video |
| Image to Video (with Audio) | Image + text generates video with sound |
| Image to Video (without Audio) | Image + text generates silent video |
| Image Editing | Edit existing images with AI |

**Evaluation Method**
- ELO scoring system (blind preference voting)
- 95% confidence intervals
- Real user preference data

### 4. OpenRouter Model Rankings
- **LLM Leaderboard**: Overall model usage rankings
- **Market Share**: Market share by model provider
- **Categories**: Rankings by use case
- **Languages**: Natural language support rankings
- **Programming**: Programming language support
- **Context Length**: Long context handling
- **Tool Calls**: Tool calling capabilities
- **Images**: Image processing volume

### 5. OpenRouter App Rankings
- **Most Popular**: Top apps by token usage
- **Trending**: Fastest growing apps this week
- **Categories**: Coding Agents, Productivity, Creative, Entertainment

### 6. OpenRouter Model Catalog
- **All Models**: Complete list of available models on OpenRouter
- **Free Models**: Models with $0 pricing (free to use)
- **Model ID**: The exact `model` parameter to use when calling OpenRouter API
- **Pricing Info**: Input/output token pricing

### 7. Pinchbench Benchmarks
- **Success Rate**: Task completion success percentage
- **Speed**: Response time performance
- **Cost**: Cost per run analysis
- **Value**: Price-performance ratio

## Trigger Keywords

### General AI Rankings
- "AI rankings" / "AI 排行榜"
- "LLM leaderboard" / "LLM 排行"
- "model comparison" / "模型对比"
- "best AI models" / "最好的 AI 模型"
- "AI apps ranking" / "AI 应用排行"
- "model benchmark" / "模型评测"

### Artificial Analysis Specific
- "Artificial Analysis" / "artificialanalysis"
- "AI intelligence index" / "AI 智力指数"
- "intelligence index" / "智力指数"
- "模型速度排行" / "speed ranking"
- "模型价格对比" / "price comparison"
- "fastest models" / "最快模型"
- "cheapest models" / "最便宜模型"
- "tokens per second" / "t/s" / "tokens/s"
- "latency" / "TTFT" / "首 token 延迟"
- "Artificial Analysis Intelligence Index"
- "AAII" / "AA Intelligence"
- "API providers" / "API 提供商"
- "LLM providers" / "LLM 提供商"
- "Cerebras" / "Groq" / "Fireworks"
- "open weights" / "开源权重"
- "reasoning models" / "推理模型"
- "elo score" / "ELO 评分"
- "image arena" / "图生图"
- "text to image" / "文生图"
- "text to video" / "文生视频"
- "image to video" / "图生视频"

### OpenRouter Specific
- "free models" / "免费模型" / "free AI models"
- "OpenRouter models" / "OpenRouter 免费模型"
- "OpenRouter rankings" / "OpenRouter 排行"
- "Pinchbench"
- "OpenRouter model ID" / "OpenRouter 模型 ID"
- "查找 OpenRouter" / "OpenRouter 上的模型"
- "model ID for [模型名]" / "[模型名] model ID"
- "OpenRouter 上 [模型名]" / "OpenRouter [模型名] 模型"
- "OpenRouter model parameter"
- "调用量排行" / "使用量排行" / "top models" / "top 模型"
- "OpenRouter 调用量" / "OpenRouter 使用量"

## Runtime Tools

This skill requires:
- `execute_command`: Execute shell commands and scripts
- `use_skill`: Load browser-automation skill for JavaScript-rendered pages
- `web_fetch`: Fallback for simple HTTP requests

## Installation

**Required CLI Dependency**: `agent-browser`

The `agent-browser` CLI must be installed before using this skill. Install via:

```bash
npm install -g agent-browser
# or
npx agent-browser --version
```

This skill calls `agent-browser` via subprocess with hardcoded argument arrays (no shell injection risk).

**Note on browser eval**: The `agent-browser eval` command executes `document.body.innerText` or similar DOM queries on the remote page to extract rendered content. This is standard web scraping behavior for JavaScript-rendered pages and is l