YZ Index · AI Model Change Intelligence

Which AI model should you use today?
We benchmark them every week.

11 models · 212 questions randomly sampled · Real code execution · Citation verification · Rolling average rankings · Don't trust press releases, check continuous performance.

Code Sandbox Execution Citation Accuracy Check Statistical Significance Ranking No Vendor Sponsorship
Who to Use Right Now
#1 Overall (Rolling Average) Grok 3
Biggest Rise This Week 文心一言 4.0 +15
Latest Benchmark 2026-04-27 SGT
judge v6

Who to Use Right Now

Start with the overall ranking, then drill into the dimension you care about.

The full leaderboard shows not just who's leading, but how stable that lead is. View Full Leaderboard

Who's Up, Who's Down

One-time spikes don't count. We care about whether sustained performance has shifted.

Biggest change this week: 文心一言 4.0 rose 15 pts。
View Full Change Report
Biggest Gain
文心一言 4.0
+15
Incident Reports
This week 2 incidents
Pricing Changes
0 updates

Don't just look at the overall score — consider your use case

Top Pick
豆包 Pro
92.2 pts
Runner-up
Gemini 2.5 Pro
89.4 pts
Third Choice
Grok 3
88.9 pts
Top Pick
Gemini 2.5 Pro
47.2 pts
Runner-up
Claude Opus 4.6
46.3 pts
Third Choice
豆包 Pro
46.3 pts
Top Pick
Grok 3
84.4 pts
Runner-up
Claude Sonnet 4.6
81.1 pts
Third Choice
Claude Opus 4.6
79.7 pts
Top Pick
DeepSeek V3
99.7 pts
Runner-up
文心一言 4.0
98.5 pts
Third Choice
豆包 Pro
93 pts
Top Pick
豆包 Pro
38.9 pts
Runner-up
Gemini 2.5 Pro
36.6 pts
Third Choice
Claude Opus 4.6
36.6 pts

View Full Recommendations by Use Case

Worth reading today — beyond the hype

We only feature content that impacts capability, pricing, stability, or model selection.

Featured
News
Musk and Page's AI Safety Dispute: When "Speciesism" Becomes a Point of Divergence for Tech Giants
In recent OpenAI-related court proceedings, Elon Musk revealed that Google co-founder Larry Page labeled him a "speciesist" for his AI safety concerns, highlighting a fundamental ideological divide between the two tech giants. This disclosure has sparked intense discussions on the future direction of AI development, pitting human-centric safety against views of AI as an independent evolutionary form.
Featured
News
Apple iOS 27 Heavyweight Preview: AI Photo Editing Features Fully Revolutionized, Challenging Android's Dominant Position
Apple is set to introduce groundbreaking AI photo editing features in iOS 27 and macOS 27, offering users advanced image processing capabilities like smart expansion, AI enhancement, and image reconstruction, all powered by Apple Intelligence with on-device processing for privacy. This move aims to counter Android's lead in AI photography and reshape the market competition.
Featured
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当机器人迎来ChatGPT时刻,别忘了这些钳子
从分拣鸡块到拧灯泡,Eka公司的机器人表现出了惊人的逼真度。但这是否意味着它们真正拥有了物理智能?本文深入探讨了机器人技术的最新突破,以及这些“灵巧钳子”如何预示着一个新时代的到来——当机器人学会像人类一样感知和操作世界时,我们该如何理解这种“智能”的本质?
News
科技巨头证明AI基建投入见效,但账单却更高了
2026年财报季揭示了一个核心事实:微软、谷歌、Meta和亚马逊的云业务均超预期,AI基础设施支出持续攀升。四巨头合计承诺了6300亿至6500亿美元的投资,但市场反应却喜忧参半——AI投入确实带来了增长,但高昂的账单也引发了投资者对回报周期的担忧。本文深度解析这一趋势背后的行业逻辑。
News
AI代理治理成焦点:监管机构警示控制缺口
澳大利亚金融监管机构警告金融机构,AI代理的治理和保障实践存在严重不足。随着银行和养老金受托人在内部和面向客户的操作中扩大AI应用,澳大利亚审慎监管局在2025年底对部分大型受监管实体进行了针对性审查,发现AI治理存在显著控制缺口。这一警示凸显了全球金融业在AI快速部署中的监管挑战。
News
传授AI色情制作牟利,三名亚利桑那女性起诉
三名亚利桑那州女性起诉一群男子,指控他们未经授权使用其照片创建AI色情网红,并通过在线课程向他人传授制作方法,从中牟利。这起案件揭示了AI技术滥用与数字性侵的新趋势,引发对法律和伦理边界的深度讨论。

Not all AI news is worth reading. What matters is what changes your judgment. View All News

Why This Leaderboard Is Worth Your Attention

Not because we're loud, but because our methods are open, rules are fixed, and results are traceable.

Real Code Execution
Looking like it can code isn't enough. We run the code in a sandbox. If it doesn't pass, it's zero.
Citation Verification
For long-document questions, we don't just check if the answer looks right — we verify citations trace back to the source.
Statistical Rankings
We don't judge on a single run. Rankings are based on rolling averages, avoiding luck-driven fluctuations.
No Sponsored Benchmarks
No co-evaluations, no pre-test consultations, no favoritism. Whatever the results are, that's what we publish.

View Methodology

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The leaderboard answers "who's stronger." Research Lab answers "why." Model safety, edge deployment, performance teardowns — not rehashing papers, but conclusions from our own testing.

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