Largest AI models will see a 100x leap in size by 2026, driven largely by Chinese research efforts using quantization breakthroughs.

Largest AI models will see a 100x leap in size by 2026, driven largely by Chinese research efforts using quantization breakthroughs. | DeepSeek V5 / Qwen 3 benchmark releases

Key catalyst: DeepSeek V5 / Qwen 3 benchmark releases

Watch events: DeepSeek V5 release; Qwen 3 scale; MoE ternary-weight model benchmark releases

DeepSeek V4 (Mar 2026) used FP4 training + ternary inference achieving GPT-4-class performance at ~1/40th the cost. Qwen/DeepSeek scaling laws validate quantization-first Chinese approach.

Beneficiaries (24)

Adverse (6)

{
  "nia": false,
  "qty": "100x model size",
  "mode": "FORECAST",
  "role": "Host-VC",
  "context": "Blundin forecasts 100x model-size leap by 2026 via FP4/ternary quantization, proving embargoed nations can stay competitive via algorithmic bypasses.",
  "to_year": 2026,
  "conv_cues": "staggering; predicts",
  "direction": "NUMERIC_TARGET",
  "from_year": 2026,
  "timeframe": "2026",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "DeepSeek V4 release confirmed",
      "notes": "HIT — DeepSeek V4 launched. Total params went from V3's 671B → V4-Pro's 1.6T (~2.4x), not 100x. Prediction's 100x claim is OVER-stated; partial signal.",
      "source": "https://medium.com/@leucopsis/deepseek-v4-review-a23ce940151c and BentoML guide. V4 Pro exposed via API on April 24, 2026.",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://medium.com/@leucopsis/deepseek-v4-review-a23ce940151c",
      "expected_date": "2026-04-24",
      "observed_date": "2026-04-24",
      "research_origin": "deep_research",
      "measurement_criterion": "DeepSeek-AI publicly releases V4 with V4-Pro at 1.6T total parameters, 49B activated per token (vs V3 at ~671B/37B)"
    },
    {
      "kind": "llm_pre_event",
      "label": "Quantization breakthrough — V4 reduces inference FLOPs to 27% of V3.2",
      "notes": "HIT — V4-Pro reduces single-token FLOPs to 27% of V3.2. Confirms Blundin's quantization-breakthrough theme.",
      "source": "DeepSeek V4 technical paper, Medium reviews",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://medium.com/@leucopsis/deepseek-v4-review-a23ce940151c",
      "expected_date": "2026-04-24",
      "observed_date": "2026-04-24",
      "research_origin": "deep_research",
      "measurement_criterion": "DeepSeek V4 paper/post claims FLOPs/token reduced to ≤30% of prior generation via Compressed Sparse Attention or peer architecture"
    },
    {
      "kind": "prereq",
      "label": "Nvidia became the world's first $5 trillion company (late 2025), operating a near-monopoly on advanced AI chips.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -4,
      "source_id": "SEM_011",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Nvidia Data Center revenue +66% YoY, contributing ~90% of $57B fiscal Q3 revenue; >$4.5T market cap entirely underpinned by AI silicon.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -3,
      "source_id": "SEM_027",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Nvidia's Arizona-based TSMC factory successfully fabricated cutting-edge semiconductors on US soil for first time in decades (October 2025).",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -2,
      "source_id": "SEM_014",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) a",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -1,
      "source_id": "SEM_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "event",
      "label": "Largest AI models will see a 100x leap in size by 2026, driven largely by Chinese research efforts using quantization breakthroughs.",
      "status": "partial",
      "weight": 1,
      "ordinal": 0,
      "source_id": "SEM_021",
      "expected_date": "2026-05-01",
      "observed_date": "2026-05-01"
    },
    {
      "kind": "llm_pre_event",
      "label": "Qwen 3.6 release with sub-10B competitive frontier",
      "note
... (truncated)