Who is on each side · Part 05 · The grid
What does a frontier lab sell: a commodity, or a premium?
5 voices across 1 question on OpenAI and Anthropic Are Not the Same Business: one row per voice, one column per question, the side each voice holds and the published claim with its date and a verified link where one exists.
The grid
| Voice | What does a frontier lab sell: a commodity, or a premium? |
|---|---|
| Michael Spencer | OpenAI: commoditized The creator predicts Anthropic will achieve AI supremacy status in 2027 and by 2030 will have no comparable peer competitor, not Google, OpenAI, DeepSeek, or Alibaba. Open-source Chinese models are disrupting OpenAI's revenue because routing and code wrappers increasingly favor them over OpenAI's models due to cheaper token costs, forcing OpenAI to cut API prices, including an 80% cut to GPT-5.6 Lune, which the… Anthropic: not yet Anthropic's ARR grew from approximately $700 million in August 2024 to its current level, a roughly 93x increase in about two years. Cognition's Devin achieved a $1 billion annualized revenue run rate and a $40 billion valuation in under two years, making it exceptional among AI startups for this pace of revenue growth. Voices that cross sides As Devin and similar tools scale, they drive increased token usage of Anthropic's models, creating a compounding benefit to Anthropic. Europe's dream of sovereign AI leadership is fading because Mistral, despite raising 3.5 billion dollars at a 21 billion euro valuation, has been unable to compete with the United States or China in open-source AI models. |
| Massif Capital | OpenAI: commoditized Chinese open-weight models climbed from under 2% of token traffic in late 2024 to a majority of usage among top models in 2026, driven by the revealed preference for models running on infrastructure the user controls. In June 2026, the Commerce Department suspended access to Anthropic's Fable 5 and Mythos 5 models for all non-US persons, invoking export-control authority, with practical effect of a global suspension that lasted under three weeks before… |
| Christian Catalini | Anthropic: not yet Training runs account for only 10 to 23 percent of AI labs' total compute costs, with the remainder tied to tacit knowledge in data curation, infrastructure, and learning from failed experiments. The demand curve for AI capabilities is heterogeneous: commodity intelligence will become price-competitive across many applications, while convex-payoff domains like finance and frontier research can sustain premium pricing for marginal capability… |
| Wyndo | Voices that cross sides The creator cites Artificial Analysis benchmark results as evidence of rapid open-weight model improvement: Kimi K3 scored 57 on its Intelligence Index (13 points above Kimi K2.6, per the July 17 evaluation), and DeepSeek V4 Flash 0731 scored 10… The traditional split of using a strongest frontier model (Opus) for reasoning/judgment and a faster cheaper model (Sonnet) for execution has become less clearly justified because the capability gap between 'thinking' and 'executing' models has… |
| Ed Elson | Voices that cross sides Because OpenAI and Anthropic pay their bills with venture funding of which Big Tech supplies roughly 40%, revenue Big Tech books from them is partly recycled from itself and not real growth. If Big Tech depends heavily on OpenAI and Anthropic for revenue growth, that growth is unsustainable because both customers are massively unprofitable and may not survive. |
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