Usage rankings

Context Length

Context Length · 10K bucket

Observed tokens

Observed token floor for daily Top-50 requests in the 10K context bucket, not request count or maximum model context.

7-day observed tokens14.4T
Other outside Top 5011.0%
  1. 1
    TypeSafe: Jev 1.13typesafe/jev-1.13-20260917
    1.7T11.6%
  2. 2
    TypeSafe: Jev 1.14typesafe/jev-1.14-20261014
    1.1T7.8%
  3. 3
    openai/gpt-6-luna-20260922openai/gpt-6-luna-20260922
    1.1T7.5%
  4. 4
    deepseek/deepseek-v4.1-flash-20261017deepseek/deepseek-v4.1-flash-20261017
    929.6B6.5%
  5. 5
    DeepSeek: DeepSeek V4 Flash 0423deepseek/deepseek-v4-flash-20260423
    747B5.2%
  6. 6
    deepseek/deepseek-v4.1-flash-20260910deepseek/deepseek-v4.1-flash-20260910
    736.1B5.1%
  7. 7
    deepseek/deepseek-v4-flash-20260731deepseek/deepseek-v4-flash-20260731
    704.1B4.9%
  8. 8
    z-ai/glm-5.3-flash-20260826z-ai/glm-5.3-flash-20260826
    566.5B3.9%

Scope and sources

LastAI uses documented stable APIs only. The 10K context bucket, tool-using requests, and image-input activity are shown as observed token floors. Korean or Python-specific tags, tool-call counts, and image counts lack stable APIs, so proxies are separated and never used in a composite score.

Source: OpenRouter (openrouter.ai/rankings), as of 2026-11-12T05:20:08.915Z.

Methodology · external sources

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