Urdais

Model Economics

Demo data

The economics of machine intelligence.

Price, consumption, market share, and capability across the model economy.

Token Price

Cost of a standardized 1M-token workload

$30.00 per 1M tokens

    Token Volume Index

    Observed model consumption over time

    UTVI · Urdais Token Volume Index · updated Sep 4, 2026 · 16:00 UTC

    17.45T tokens/day +13.3% 1M

      Market Share

      Observed token-volume share · trailing 30 days

      1. 01Google22.2%3.64T/day
      2. 02OpenAI20.8%3.41T/day
      3. 03Anthropic16.0%2.63T/day
      4. 04DeepSeek12.2%1.99T/day
      5. 05xAI7.3%1.20T/day
      6. 06Alibaba5.4%889.92B/day
      7. 07Meta5.0%815.84B/day
      8. 08Moonshot AI3.8%617.21B/day
      9. 09Zhipu AI3.4%557.68B/day
      10. 10MiniMax2.6%419.23B/day
      11. 11Xiaomi1.4%227.43B/day

      Model Frontier

      Capability against price

      • Open-weight
      • Proprietary
      • Frontier
      • Size = observed volume, trailing 30 days

      Blended price is a provisional normalised average of input and output economics; the capability score is a 0–100 demo measure, not a benchmark. A model is on the frontier when no other model is both cheaper and more capable.

      Open-weight vs Proprietary

      Volume share, capability gap, and price gap

      Volume share

      Observed token volume, trailing 30 days

      Open-weight
      37.6%
      Proprietary
      62.4%

      Capability gap

      Most capable model in each class, demo capability score

      Proprietary frontier
      94.2
      Open-weight frontier
      91.3
      Gap
      2.9proprietary leads

      Price gap

      Median blended price, models with capability ≥ 80

      Proprietary (8 models)
      $5.00
      Open-weight (8 models)
      $0.90
      Gap
      5.6×proprietary median per 1M tokens