Site has extremely detailed stats by day/week for every model. Programming is by far the largest consumer of tokens, and in fact entire token growth in 2025 was only from programming. Other categories very flat. It is also a category where you would pay for better performance.

IMO, its relevant to this sub in that one of the top models, minimax, fits in under 256gb, but also that the trends are for cost effectiveness rather than “the absolute best”. There is a tangent insight as to whether US datacenter frenzy is needed.

kimi k2.5 being free on openclaw is a big reason for its total dominance. In week of Feb 2, minimax was only other top model to increase token usage. Opus 4.6 release seems to be extremely flat in reception.

Agentic trend tends to make LLM models disposable, since better ones are released every week, and the agents/platforms that can switch on the fly while keeping context, is something you can invest in improving while not being obsolete next month.

  • pkjqpg1h@lemmy.zip
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    3 days ago

    General ranking (weekly) (higlighted models are open-weight)

    General ranking (weekly)

    1. Kimi K2.5 - 1.45T tokens
    2. Gemini 3 Flash Preview - 737B tokens
    3. DeepSeek V3.2 - 711B tokens
    4. Claude Sonnet 4.5 - 678B tokens
    5. MiniMax M2.1 - 454B tokens
    6. Gemini 2.5 Flash - 449B tokens
    7. Grok 4.1 Fast - 421B tokens
    8. Trinity Large Preview - 388B tokens
    9. Gemini 2.5 Flash Lite - 358B tokens
    10. Claude Opus 4.5 - 345B tokens
    11. Grok Code Fast 1 - 314B tokens
    12. Claude Opus 4.6 - 275B tokens
    13. gpt-oss-120b - 266B tokens
    14. GPT-5 Nano - 265B tokens
    15. Gemini 2.0 Flash - 175B tokens
    16. GLM 4.7 - 171B tokens
    17. Gemini 3 Pro Preview - 169B tokens
    18. Pony Alpha (GLM-5) - 147B tokens
    19. GPT-5.2 - 145B tokens
    20. Claude Haiku 4.5 - 132B tokens

    Wow 46% of tokens are now going through open-weight models thats amazing.

    • humanspiral@lemmy.caOP
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      3 days ago

      and the just the top 3 open ones are 50% in programming subsection, which I still think is most relevant to “performance/value”. More than these models growth, I was impressed by downtrend in big US provider models.