The top AI models for work and productivity, ranked by a composite score that rewards automation-ready capabilities like function calling, 流式输出, JSON output, web search, large context windows和high output capacity。
271
Productivity Models
271
Function Calling
65
Web Search
24
Free Models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 ProOpenAI | 111 |
| 2 | GPT-5.4OpenAI | 111 |
| 3 | GPT-5.2 ProOpenAI | 110 |
| 4 | Claude Opus 4.6 (Fast)Anthropic | 109 |
| 5 | Claude Opus 4.6Anthropic | 109 |
| 6 | GPT-5.3-CodexOpenAI | 108 |
| 7 | GPT-5 ProOpenAI | 108 |
| 8 | Gemini 3 Flash PreviewGoogle | 107 |
| 9 | GPT-5.1-Codex-MaxOpenAI | 107 |
| 10 | GPT-5.3 ChatOpenAI | 106 |
| 11 | Grok 4.20xAI | 106 |
| 12 | GPT-5.2-CodexOpenAI | 106 |
| 13 | GPT-5.2OpenAI | 106 |
| 14 | o3 Deep ResearchOpenAI | 106 |
| 15 | o3 ProOpenAI | 106 |
| 16 | o3OpenAI | 106 |
| 17 | GPT-5.1 ChatOpenAI | 106 |
| 18 | Grok 4xAI | 105 |
| 19 | Claude Sonnet 4.6Anthropic | 104 |
| 20 | Claude Opus 4.5Anthropic | 104 |
| 21 | GPT-5 CodexOpenAI | 104 |
| 22 | GPT-5OpenAI | 104 |
| 23 | GPT-5.1OpenAI | 103 |
| 24 | GPT-5.1-CodexOpenAI | 103 |
| 25 | GPT-5.1-Codex-MiniOpenAI | 103 |
| 26 | Gemini 2.5 ProGoogle | 103 |
| 27 | Gemini 2.5 Pro Preview 06-05Google | 103 |
| 28 | Gemini 2.5 Pro Preview 05-06Google | 103 |
| 29 | Claude Sonnet 4.5Anthropic | 101 |
| 30 | o4 Mini Deep ResearchOpenAI | 100 |
Models with function calling can automate repetitive workflows end-to-end - scheduling meetings, filing reports, updating spreadsheets, and triggering downstream actions without manual intervention. The best productivity models invoke multiple tools in sequence to complete complex multi-step tasks.
Large context windows (128K+ tokens) allow models to ingest entire contracts, reports, or knowledge bases in a single prompt. Combined with JSON output mode, they extract structured data from unstructured documents - turning PDFs into actionable summaries and spreadsheets automatically.
Streaming-capable models deliver real-time responses for drafting emails, composing meeting notes, and generating professional correspondence. High output capacity (16K+ tokens) ensures detailed, thorough responses rather than truncated summaries when handling lengthy communication threads.
Web search capabilities let AI models pull live data during workflows - checking current prices, verifying facts, or researching competitors without leaving your automation pipeline. Combined with function calling and JSON output, this enables fully autonomous research-to-action workflows.
Compare specific models head-to-head, explore pricing details, or filter by capabilities on the full leaderboard.
邮件起草（每天节省30-60分钟）、会议总结（每次节省15-30分钟）、文档起草（快2-5倍）和研究综合（快3-10倍）。从这些高频任务开始获得最直接的生产力提升。
AI补充而非替代Notion、Todoist等工具。使用AI进行内容生成和分析，保留结构化工具进行任务管理和排程。
在开始AI会话前设定具体任务。对重复任务使用模板。批量处理类似的AI任务。为开放式探索设定时间限制。
流式传输用于实时起草。网络搜索用于即时研究。大上下文用于一次性处理长文档。函数调用用于自动化多步骤工作流。