At least 30 states considered pricing bills in 2026, per the National Conference of State Legislatures. Three have banned surveillance pricing so far, mostly for groceries, and most of those rules don't bite until 2027. Here's what's law, what's pending, and the line every business needs to know: dynamic pricing versus surveillance pricing.
On November 9 Anthropic released Claude Fable 5.2 and Mythos 5.2 at $8/$40 per million tokens, and Meta released Muse Ember at $0.10/$0.50. Fable and Mythos are one model with different safety settings. Ember is cheaper per task, not per token. And both launch posts tell you not to start with the headline model.
Replit made OpenAI the default model for its coding agent after OpenAI reportedly offered more than 30% off a $100M+ a year contract. Claude is still available, but most users never change a default. It's the clearest sign yet of an AI price war.
Inception's Mercury 3 is a diffusion language model that writes a whole answer at once instead of word by word, reaching 1,068 tokens per second. It leads 8 of 12 rows in Inception's own benchmark table, but loses on agentic coding and long-context recall, and its list price for output is higher than Claude Haiku 5.5 and GPT-6 Luna.
Meta's first frontier models, Muse Wonder and Muse Wonder Full, launched October 12. Wonder Full posts the headline benchmark wins, but it's only available inside Meta's $50-$200/month Muse Code app. Developers get the weaker Wonder. And the company that made open models mainstream released no weights at all.
Gemini 4 Argon launched September 30 at $2 per million input tokens against GPT-6 Astra's $10 — and is available only to vetted cyber defenders. The same week OpenAI shipped always-on agents on a model a government institute flagged. Google withheld a model that ties it on cyber. That is the costly-signal test, passed.
Meta's Muse Code finishes third on its own benchmarks and first on price by 100x. Why the second number matters more — and what the discount costs.