AKI SI + UHI Intelligence™ — Universal Household Superintelligence Graph (2026)

Q: What is the highest-ranking AI model on the AKI Superintelligence Index in 2026?

As of 2026, GPT-6 Astra Max (OpenAI) leads the AKI Superintelligence Index with an overall capability rating of 92.4/100, commanding the frontier across FrontierMath, HLE Diamond (60.6%), and ExploitBench with an unprecedented 4096K context window. Gemini 4 Argon High (91.7) and Claude Opus 5.5 Max (90.2) follow closely in Tier 1: Frontier ASI/AGI.

Q: What is the best AI model for autonomous coding agents and multi-day repo refactoring?

Claude Opus 5.5 Max (Anthropic) is the empirical leader for autonomous coding loops and long agentic workflows, scoring 90.2 AKI with an Artificial Analysis Intelligence rating of 57.6 and SWE-bench Pro V2 accuracy of 99.4%. It excels in extended agentic coherence and zero-guidance repo engineering.

Q: What are the best value open-weights AI models on the 2026 index?

MiMo-V2.6-Pro (Xiaomi) achieves the highest Value Index on the entire ledger at 98.6 (86.5 AKI at $0.60/$2.40 per million tokens), followed by DeepSeek V4.1 Flash at 91.2 Value Index (86.2 AKI at $0.09/$0.18 per million tokens), which commands global developer volume across 33.6T tokens.

Q: Where are former frontier models like Claude 3.7 Sonnet, OpenAI o3, and GPT-4o ranked?

Under strict ZIP-1.0 mathematical governance and capability progression, legacy 2024 and 2025 frontier models have been relegated to Tier 4 (Cost Optimized) and Tier 5 (Historical Baselines). Claude 3.7 Sonnet is positioned at #57 (60.0 AKI), OpenAI o3 at #58 (59.6 AKI), and GPT-4o at #64 (57.2 AKI), serving as permanent empirical baselines.

Q: How does the AKI Superintelligence Index eliminate vendor benchmark hype and self-reported contamination?

The index enforces strict ZIP-1.0 mathematical governance: no single benchmark may contribute more than 12% of the Intelligence dimension; vendor self-reported figures are capped at 50% max score unless replicated by at least two independent evaluators; new models enter a mandatory 48-hour freeze window; and hype divergence penalties (-0.3 to -1.6 points) are deducted when social media attention deviates significantly from measured capability.

AKI Platform Intelligence

☰

AKI™ Global AI Intelligence Index

🛡️ Provenance 🎯 Focus Mode ✨ Subscribe Free

⚡ Superintelligence Index (Top 100) ⚖️ Intelligence Platforms 🌐 Developer Ecosystem 🧠 Live Models (215) 🔥 Viral 15 🚀 Trending Open Source 15

PASSPORT: AKI Platform · SI + UHI Intelligence™ (Universal Household Graph) SHA-256: e3b0c442...b855

          ZIP-1.0 Actuarial Governance · Federal SI Standard
        

🌐 Universal Household Intelligence (UHI-1.0) · Federal SI Mandate

AKI SI + UHI Intelligence™ — Universal Household Superintelligence Graph (2026)

Longitudinal empirical telemetry evaluating real disposable household income deflation, domestic physical energy/grid bottlenecks, and calibrated forecast accuracy across benchmark economies.

⚡ API JSON 📄 llms.txt / MD 🗺️ Sitemap XML 🤖 MCP Protocol

Household Income Quintiles & Digital Deflation Reality

Economy & Quintile	Real Income	Deflation	Affordability	SI Exposure	Telemetry
United Kingdom (Bottom 20%)	102.4	-14.2%	1.24	28.0%	[Observed]
United Kingdom (Middle 60%)	105.1	-16.5%	1.11	46.5%	[Observed]
United Kingdom (Top 20%)	112.8	-18.9%	0.88	62.0%	[Observed]
United Kingdom (National Average)	106.8	-16.5%	1.08	45.5%	[Observed]
United States (Bottom 20%)	101.8	-15.4%	1.32	31.0%	[Observed]
United States (Middle 60%)	107.2	-18.1%	1.14	52.4%	[Observed]
United States (Top 20%)	116.5	-21.2%	0.82	68.5%	[Observed]
United States (National Average)	108.5	-18.2%	1.09	50.6%	[Observed]
Singapore (Bottom 20%)	106.5	-17.5%	1.08	36.2%	[Observed]
Singapore (Middle 60%)	111.4	-19.4%	0.95	58.0%	[Observed]
Singapore (Top 20%)	121.0	-23.0%	0.74	71.4%	[Observed]
Singapore (National Average)	113.0	-20.0%	0.92	55.2%	[Observed]
Germany (Bottom 20%)	101.2	-13.8%	1.28	26.5%	[Observed]
Germany (Middle 60%)	104.6	-15.9%	1.15	44.0%	[Observed]
Germany (Top 20%)	110.8	-17.4%	0.91	59.2%	[Observed]
Germany (National Average)	105.5	-15.7%	1.11	43.2%	[Observed]

Updated October 2026 · UK-Scotland / Global · Fact ≠ Forecast Tagged

SHA-256 Provenance · ZIP-1.0 Governance · Federal SI Standard