Hey, big spender – OpenAI has a new SKU just for you
What's happening
OpenAI has introduced a new paid SKU priced at $125 a month, positioned for heavy spenders. At the same time GPT-5.6 launched with two variants, Sol and Luna: Sol is described as the flagship for deep, multi-step reasoning and complex programming, while Luna is the lightweight, high-volume, low-latency model handling most token consumption. OpenRouter data and Reddit posts show GPT-5.6 Luna driving a surge in token usage, making OpenAI the #5 model by token usage and the first US-based model to hit that rank, and lifting OpenAI to the #3 largest lab by token consumption on OpenRouter, surpassing Anthropic. Separately, OpenAI reports internal agentic token usage rose roughly 22x in six months and research compute devoted to internal coding inference grew 100x.
Why it's trending
Because OpenAI is rolling a premium $125/month SKU while GPT-5.6 Luna is rapidly increasing token consumption, showing a split between high-cost reasoning (Sol) and high-volume execution (Luna).
Signal1.5× its usual volume, confirmed across 2 independent source types.
Story volume
Stories per dayAngles you could write
If you think OpenAI's $125 tier is for power users, think again: it's a play to monetize Sol-level spending while Luna eats tokens by the billions.
+2 more angles for this topic with an account — all it takes is your email.
Original sources6
- Hey, big spender – OpenAI has a new SKU just for you
$125 a month? So, how good are those open-weight models getting, again?
The RegisterAug 10 - OpenAI is now the #3 largest lab by token consumption on OpenRouter, surpassing Anthropicr/OpenAIAug 11
- The overlooked GPT-5.6 metric: OpenAI’s internal AI usage jumped 22x in six months
Everyone is focused on the benchmark scores, but one number in OpenAI’s GPT-5.6 release caught my attention much more. OpenAI says its internal agentic token usage increased roughly 22x over the last six months, while the share of research compute going toward internal coding inference grew 100x. That feels more significant than another model gaining a few points on a benchmark. The company buildi
r/OpenAIAug 10
+3 more sources for this topic
Create an account to follow the full coverage in the live radar.
More rising in AI & Tech
- ‘Gambling with our lives’: Anthropic researcher quits, warns against self-improving AISurging5.3Surging5.3 momentum
- AI Chip Stocks Diverge Ahead of Nvidia Earnings as AMD and Intel SurgeClimbing3.9Climbing3.9 momentum
- DeepSeek's new model sets a template for powerful LLMs that run leanClimbing2.6Climbing2.6 momentum
- Anthropic Just Asked the AI Industry to Slow Down. Nothing in It Asks Anyone to Buy Fewer Nvidia Chips.Climbing2.3Climbing2.3 momentum
- Big AI sets out its terms for regulatory capture and calls it ‘Pace the frontier’Surging6.0Surging6.0 momentum
- Y Combinator’s Garry Tan wants U.S. open-weight AI labs to ‘distill’ frontier models, tooSteady1.0Steady1.0 momentum