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Anthropic says Opus 4.7 uses “an updated tokenizer that improves how the model processes text”, but “the tradeoff is that the same input can map to more tokens”

Anthropic has announced its latest AI model with Claude Opus 4.7.  The new version arrives two months …

9to5Mac Zac Hall

Discussion

  • @bogdanionutcir2 Bogdan Ionut Cirstea on x
    seems probably good for safety, especially if most capabilities gains came from pretraining
  • @topmass Matthew on x
    opus 4.7 tokenizer is new and uses more tokens for the same inputs... AND the new default reasoning effort inside of claude code will be high - get ready to tear through your limits! [image]
  • @natolambert Nathan Lambert on x
    There's good discussion around this one ways that it could just be adaptation at midtraining, but base model is the simplest explanation so that's my bet.
  • @myainotez @myainotez on x
    New Opus is out, they mention a new tokenizer too. Maybe we will have breadcrumbs of mythos in this one
  • @bspk_ @bspk_ on x
    New base model!
  • @schiste Christophe Henner on x
    Oh gosh, they removed 4.6 altogether from selectors. So I have to say, this does looks a lot like a downsell disguised in an upsell. A few upgrades, but a new tokenizer eating tokens much faster. Well, we knew the time to stop brut forcing things with Opus had to end. [image]
  • @maximelabonne Maxime Labonne on x
    My bet is that Mythos uses a new tokenizer, and they switched Opus over to it (through midtraining) for distillation
  • @andrew_n_carr Andrew Carr on x
    4.7 has a new tokenizer (in-part) because of the 3x vision scaling improvements
  • @realsigridjin Sigrid Jin on x
    opus 4.7 has a new tokenizer which means a new base model underneath, not just a post-training refresh [image]
  • @eliebakouch Elie on x
    my take: opus 4.7 is a distilled version of mythos
  • @kunchamsathwik @kunchamsathwik on x
    Claude Opus 4.7 launched Thing I noticed: 1. They changed the tokenizer which may map to 35% more tokens. 2. Model by default thinks more. Overall, higher token use and faster rate limit hits. [image]
  • @realsigridjin Sigrid Jin on x
    tldr; @ClaudeDevs opus 4.7 just shipped as expected > the tokenizer changed. same input maps to 1.0 to 1.35x more tokens depending on content type > output tokens also go up at higher effort, the model thinks longer on later turns in agentic loops > new effort level called
  • r/ClaudeAI r on reddit
    Opus 4.7 Released!