Usage rankings
Models by task
Seven-day request and token shares from a sampled classifier across Code, Data, Agent, and General. These are not absolute volumes or global demand.
Classified-sample requests35.5%
Classified-sample tokens11.4%
Within category58.5%
Category tokens35.5%
Classification · Top models
- 1TypeSafe: Jev 1.13typesafe/jev-1.13-2026091720.2% req9.3% tok
- 2TypeSafe: Jev 1.14typesafe/jev-1.14-2026101412.0% req9.6% tok
- 3openai/gpt-6-luna-20260922openai/gpt-6-luna-202609227.0% req5.8% tok
- 4Perplexity: Decider V1.2perplexity/pplx-decider-v1.2-202610166.0% req5.6% tok
- 5deepseek/deepseek-v4.1-flash-20261017deepseek/deepseek-v4.1-flash-202610174.7% req12.9% tok
- 6deepseek/deepseek-v4.1-flash-20260910deepseek/deepseek-v4.1-flash-202609104.0% req4.3% tok
- 7z-ai/glm-5.3-flash-20260826z-ai/glm-5.3-flash-202608262.8% req5.3% tok
- 8Crouton Alphastealth/crouton-alpha2.7% req5.6% tok
- 9anthropic/claude-haiku-5.5-20261007anthropic/claude-haiku-5.5-202610072.5% req1.2% tok
- 10deepseek/deepseek-v4-flash-20260731deepseek/deepseek-v4-flash-202607312.4% req1.8% tok
Source: OpenRouter (openrouter.ai/rankings), as of 2026-11-11.
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