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A developer used an HTTP proxy to capture full API requests across four Claude Code versions and found that v2.1.100 adds roughly 20,000 invisible server-side tokens to every request - inflating billing by 40% with no user visibility.
OpenAI released GPT-5.4 mini and nano on March 17, bringing near-flagship performance at 70% and 92% lower cost respectively.
Google's Gemini 3.1 Flash-Lite delivers frontier-class benchmarks at a fraction of the cost of Pro - but a sluggish first-token response and preview-only status mean it's not for every workload.
Anthropic is doubling Claude usage limits outside 8 AM-2 PM ET through March 27 for Free, Pro, Max, and Team plans across web, desktop, mobile, Claude Code, and Excel.
Anthropic made the 1M-token context window generally available for Claude Opus 4.6 and Sonnet 4.6, dropping the long-context pricing premium entirely - a 900K-token request now costs the same per token as a 9K one.
At BlackRock's Infrastructure Summit, Sam Altman laid out OpenAI's vision of selling AI compute by the token like a metered utility, backed by a $110 billion war chest and the Stargate buildout.
Google Antigravity Pro subscribers report 5-7 day lockouts on premium models after quota changes replaced five-hour refreshes with weekly caps and AI credit overages, sparking backlash across developer forums.
DeepSeek V3.2 is a 671B-parameter MoE model activating 37B per token that delivers frontier-class reasoning and coding at the lowest API price in the industry - $0.14/$0.28 input, $0.42 output per million tokens.
Developers on Anthropic's $100-$200/month Claude Max plans report that Opus 4.6's adaptive thinking and 1M token context window consume session quotas up to 9x faster than before, with some hitting limits in 15 minutes.
We estimate that Moltbook's 46,000 active AI agents consume 1-4 billion tokens per day, costing up to $20,000 daily in inference and emitting as much CO2 as dozens of American homes - and 93% of those comments get zero replies.
DeepSeek releases V3.2 under MIT license with 671B MoE architecture, matching GPT-5 at one-tenth the cost and achieving gold-medal performance on IMO and IOI competitions.
