Why do you need an API key to tokenize the text? Isn't it supposed to be a cheap step that everything else in the model relies on?

  Error: {"type":"error","error":{"type":"invalid_request_error","message":"Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits."},"request_id":"req_011CaGaBf6uTHfbmdZ39nx1Z"}

Anthropic was pulling ahead of their peers, but if they can't hear their customer's complaints about negatively changing value between releases they're going to undermine their position until no advantage is left.

Interesting findings. Might need a way to downsample images on upload to keep costs down.

I just asked Claude about defaulting to 4.6 and there are several options. I might go back to that as default and use --model claude-opus-4-7 as needed. The token inflation is very real.

An interesting question is whether the tokenizer is better at something measurable or just denser. A denser tokenizer with worse alignment to semantic boundaries costs you twice, higher bill and worse reasoning. A denser tokenizer that actually carves at the joints of the model's latent space pays for itself in quality. Nobody outside Anthropic can answer which it is without their eval suite, so the rugpull read is fair but premature. Perhaps the real tell will be whether 4.7 beats 4.6 on the same dollar budget on the benchmarks you care about, not on the per-token ones Anthropic publishes.

Okay, but what about output tokens?

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