As of end 2024, AI model makers have very little moat, with many similar models and a price war.
Resolved true The record shows it happened or was so.
Factual: Statements about the present or the past, checked against the record: did they hold up?
What would count as true or false
Judged as of the end of 2024. True: evidence from late 2024 shows several developers offering models of similar capability (the top models clustered closely on major leaderboards) and repeated, substantial price cuts across providers consistent with a price war. Mostly true: the top models were similar and prices fell, but one provider held a modest yet noticeable lead or the price cuts were less sharp than 'war' implies. Mixed: either many similar models existed but there was no clear price competition, or there was price competition while one firm held a clear capability lead. Mostly false: one developer held a clear, recognised technical lead, though prices were falling. False: model makers held strong moats, with distinct capability leads and stable or rising prices.
Set before the research began.
Evidence (4)
-
E1 Top AI Stories of 2024! Agents Rise, Prices Fall, Models Shrink, and more... DeepLearning.AI (The Batch) · 25 December 2024
“AI providers waged a price war to attract paying customers. A leading indicator: From March 2023 to November 2024, OpenAI cut the per-token prices of cloud access to its models by nearly 90 percent even as performance improved, input context windows expanded, and the models became capable of processing images as well as text.”
-
E2 This Week in AI: AI is rapidly being commoditized | TechCrunch TechCrunch · 28 August 2024
“For one, there’s not much to set the various flagship models apart in terms of capabilities.”
-
E3 Technical Performance Stanford Institute for Human-Centered AI (AI Index Report 2026) · 16 August 2026
“This gap narrowed steadily through 2024 as Google, Anthropic, and others released stronger models.”
-
E4 Kingy AI Price Index · October 2024 Kingy AI · 19 October 2026
“The median frontier model cost $3.00 per million tokens, down from $5.25 in September. Google and Mistral AI cut their list prices.”
Reasoning
The Batch's 2024 year-end review says that "AI providers waged a price war" and that OpenAI cut per-token prices by nearly 90% between March 2023 and November 2024 (E1). Kingy AI's October 2024 price index records Google and Mistral AI also cutting list prices (E4), so price cuts came from several providers. On capability, TechCrunch reported in August 2024 that there was "not much to set the various flagship models apart" (E2), and the Stanford AI Index says the gap narrowed steadily through 2024 as Google, Anthropic and others released stronger models (E3). Together, independent sources show both close capability among the top models and a price war across providers by late 2024.
Cite this claim
Gary Marcus, “As of end 2024, AI model makers have very little moat, with many similar models and a price war.” (said 1 January 2025). Verdict: resolved true. Reliability API, claim c_30fc612c7546, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_30fc612c7546
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More factual claims by Gary Marcus
-
Mixed
“companies like Anthropic are ending their all you can eat buffet, which will make many customers think twice.”
-
Mixed
“But everybody is building essentially the same technical solution with essentially the same data, so there is no moat.”
-
Mostly true
“Still more reports have coming out questioning the RoI for corporate customers.”
-
Mostly true
“The company has not returned any profits, and is not expecting to do so until at least 2029, but has a burn rate in the billions, and still lacks a clear technical moat.”
-
Mostly true
“And current-sized models, already expensive, aren’t reliable enough for many jobs.”
Current-sized LLMs are expensive and not reliable enough for many jobs.
Verdicts are made automatically; how verdicts are made.