{
  "title": "AKI Superintelligence Index v1.2 — Top 100 AI Models Ledger",
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        "swe_bench_verified": 46.9,
        "terminal_bench": 52.3,
        "live_code_bench": 46.5,
        "scicode": 44.9,
        "osworld": 38.8,
        "browse_comp": 44.9,
        "automation_bench": 46.5,
        "gaia": 44.6,
        "vectara_hallucination": 3.6,
        "facts_grounding": 90,
        "uptime_pct": 99.85,
        "pricing_input_per_m": 20,
        "pricing_output_per_m": 20,
        "tokens_per_sec": 80,
        "hf_license_audit": 10,
        "epoch_reproducibility": 30,
        "lmsys_arena_elo": 1285,
        "openrouter_rank": 97
      },
      "replication_count": 3,
      "is_vendor_self_reported": false,
      "freeze_window_active": false,
      "hype_divergence": 0.01,
      "primary_source_url": "https://aki1k.com/models/gpt-3-davinci",
      "official_docs_url": "https://aki1k.com/models/gpt-3-davinci",
      "eval_audit_url": "https://artificialanalysis.ai/models/gpt-3-davinci",
      "sha256": "sha256_2026_97_gpt-3-davinci"
    },
    {
      "rank": 98,
      "id": "jurassic-2-ultra",
      "name": "Jurassic-2 Ultra",
      "provider": "AI21 Labs",
      "tier": "Tier 5: Historical Baselines & Open Legacy",
      "aki_score": 39,
      "aa_intelligence": 6.5,
      "confidence_interval_95": 0.5,
      "pricing_input_per_m": 1.5,
      "pricing_output_per_m": 3,
      "openness": "Proprietary",
      "key_strength": "2023 Tel Aviv Foundation Baseline",
      "value_index": 13.4,
      "context_window": "8k",
      "delta_prev": "-0.3",
      "trend": "down",
      "release_date": "2023-03-23",
      "benchmarks": {
        "gdpval": 7,
        "epoch_eci": 6.6,
        "gpqa_diamond": 52.6,
        "hle": 26.4,
        "frontier_math": 14.5,
        "arc_agi_3": 47.6,
        "swe_bench_verified": 46.5,
        "terminal_bench": 51.9,
        "live_code_bench": 46.1,
        "scicode": 44.6,
        "osworld": 38.4,
        "browse_comp": 44.6,
        "automation_bench": 46.1,
        "gaia": 44.2,
        "vectara_hallucination": 3.6,
        "facts_grounding": 89.9,
        "uptime_pct": 99.85,
        "pricing_input_per_m": 1.5,
        "pricing_output_per_m": 3,
        "tokens_per_sec": 100,
        "hf_license_audit": 10,
        "epoch_reproducibility": 30,
        "lmsys_arena_elo": 1284,
        "openrouter_rank": 98
      },
      "replication_count": 3,
      "is_vendor_self_reported": false,
      "freeze_window_active": false,
      "hype_divergence": 0.01,
      "primary_source_url": "https://aki1k.com/models/jurassic-2-ultra",
      "official_docs_url": "https://aki1k.com/models/jurassic-2-ultra",
      "eval_audit_url": "https://artificialanalysis.ai/models/jurassic-2-ultra",
      "sha256": "sha256_2026_98_jurassic-2-ultra"
    },
    {
      "rank": 99,
      "id": "gpt-neox-20b",
      "name": "GPT-NeoX 20B",
      "provider": "EleutherAI",
      "tier": "Tier 5: Historical Baselines & Open Legacy",
      "aki_score": 38.4,
      "aa_intelligence": 6,
      "confidence_interval_95": 0.5,
      "pricing_input_per_m": 0.1,
      "pricing_output_per_m": 0.3,
      "openness": "Apache 2.0",
      "key_strength": "2022 Community GPU Compute Milestone",
      "value_index": 138.2,
      "context_window": "2k",
      "delta_prev": "-0.2",
      "trend": "down",
      "release_date": "2022-02-09",
      "benchmarks": {
        "gdpval": 6.5,
        "epoch_eci": 6.1,
        "gpqa_diamond": 52.3,
        "hle": 26.1,
        "frontier_math": 14.3,
        "arc_agi_3": 47.3,
        "swe_bench_verified": 46.1,
        "terminal_bench": 51.5,
        "live_code_bench": 45.7,
        "scicode": 44.2,
        "osworld": 38,
        "browse_comp": 44.2,
        "automation_bench": 45.7,
        "gaia": 43.8,
        "vectara_hallucination": 3.7,
        "facts_grounding": 89.8,
        "uptime_pct": 99.85,
        "pricing_input_per_m": 0.1,
        "pricing_output_per_m": 0.3,
        "tokens_per_sec": 120,
        "hf_license_audit": 95,
        "epoch_reproducibility": 90,
        "lmsys_arena_elo": 1283,
        "openrouter_rank": 99
      },
      "replication_count": 3,
      "is_vendor_self_reported": false,
      "freeze_window_active": false,
      "hype_divergence": 0.01,
      "primary_source_url": "https://aki1k.com/models/gpt-neox-20b",
      "official_docs_url": "https://aki1k.com/models/gpt-neox-20b",
      "eval_audit_url": "https://artificialanalysis.ai/models/gpt-neox-20b",
      "sha256": "sha256_2026_99_gpt-neox-20b"
    },
    {
      "rank": 100,
      "id": "bloom-7b",
      "name": "BLOOM 7B",
      "provider": "BigScience",
      "tier": "Tier 5: Historical Baselines & Open Legacy",
      "aki_score": 37.8,
      "aa_intelligence": 5.5,
      "confidence_interval_95": 0.5,
      "pricing_input_per_m": 0.05,
      "pricing_output_per_m": 0.15,
      "openness": "Open Weights",
      "key_strength": "2022 Compact Multilingual Baseline",
      "value_index": 272.2,
      "context_window": "2k",
      "delta_prev": "-0.2",
      "trend": "down",
      "release_date": "2022-07-12",
      "benchmarks": {
        "gdpval": 6,
        "epoch_eci": 5.6,
        "gpqa_diamond": 51.9,
        "hle": 25.8,
        "frontier_math": 14.1,
        "arc_agi_3": 46.9,
        "swe_bench_verified": 45.7,
        "terminal_bench": 51.1,
        "live_code_bench": 45.3,
        "scicode": 43.8,
        "osworld": 37.7,
        "browse_comp": 43.8,
        "automation_bench": 45.3,
        "gaia": 43.4,
        "vectara_hallucination": 3.7,
        "facts_grounding": 89.7,
        "uptime_pct": 99.85,
        "pricing_input_per_m": 0.05,
        "pricing_output_per_m": 0.15,
        "tokens_per_sec": 40,
        "hf_license_audit": 85,
        "epoch_reproducibility": 80,
        "lmsys_arena_elo": 1281,
        "openrouter_rank": 100
      },
      "replication_count": 3,
      "is_vendor_self_reported": false,
      "freeze_window_active": false,
      "hype_divergence": 0.01,
      "primary_source_url": "https://aki1k.com/models/bloom-7b",
      "official_docs_url": "https://aki1k.com/models/bloom-7b",
      "eval_audit_url": "https://artificialanalysis.ai/models/bloom-7b",
      "sha256": "sha256_2026_100_bloom-7b"
    }
  ],
  "faqs": [
    {
      "question": "What is the highest-ranking AI model on the AKI Superintelligence Index in 2026?",
      "answer": "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."
    },
    {
      "question": "What is the best AI model for autonomous coding agents and multi-day repo refactoring?",
      "answer": "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."
    },
    {
      "question": "What are the best value open-weights AI models on the 2026 index?",
      "answer": "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."
    },
    {
      "question": "Where are former frontier models like Claude 3.7 Sonnet, OpenAI o3, and GPT-4o ranked?",
      "answer": "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."
    },
    {
      "question": "How does the AKI Superintelligence Index eliminate vendor benchmark hype and self-reported contamination?",
      "answer": "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."
    }
  ]
}