Chinese AI models threaten US industry by being up to 90% cheaper — and they're driving Google, OpenAI, and Anthropic out of the open market

Some Chinese models are said to be 90% cheaper than their US counterparts Open-weight models are also better suited to local deployment Price- and quality-driven markets exist within the AI sector A new report from Juniper Research has revealed how rapid improvements and dramatically lower operating

<![CDATA[ <article> <ul><li><strong>Some Chinese models are said to be 90% cheaper than their US counterparts</strong></li><li><strong>Open-weight models are also better suited to local deployment</strong></li><li><strong>Price- and quality-driven markets exist within the AI sector</strong></li></ul><p>A new report from <a href="https://www.juniperresearch.com/resources/free-research/beyond-the-headlines-what-the-ai-bubble-really-means" target="_blank">Juniper Research</a> has revealed how rapid improvements and dramatically lower operating costs for Chinese AI models could be impacting the uptake of counterpart US models.</p><p>The paper details how Chinese AI models can now cost as much as 90% less to run than leading US alternatives, which is already affecting where developers choose to run their AI workloads.</p><p>Looking ahead, the battle is becoming less about who can build the highest-performance, lowest-cost models and more about who can make inference cheaper.</p><h2 id="chinese-ai-models-are-seriously-undercutting-us-models">Chinese AI models are seriously undercutting US models</h2><p>Juniper's research focuses on API platform and marketplace OpenRouter, which last year saw around 70% of work being conducted with US AI models from the likes of OpenAI, Google and Anthropic. Their combined share has since fallen drastically to around 30%, the paper notes, noting the clear willingness to move workloads away from US firms to cheaper alternatives.</p><p>More broadly, Juniper says two distinct markets have started to emerge within AI spend – a price-driven one where customers prioritize cheaper inference and a quality-driven one where customers are willing to pay more for higher accuracy and reasoning.</p><p>While US companies still appear to dominate the quality-driven market, emerging Chinese models deliver better on the price-driven front.</p><p>Juniper also noted that open-weight models are challenging the idea that inference needs to be sent a cloud provider. Now that many small models can be deployed locally, cloud providers could also be set to lose out on the major revenue they've been experiencing in recent years.</p><p>While what comes next is unclear, it's likely that a growing market could lead to a space where cheaper Chinese models and higher-performance US models could coexist, but one thing's for certain. US dominance is certainly being challenged.</p><figure class="van-image-figure pull-right inline-layout" data-bordeaux-image-check ><div class='image-full-width-wrapper'><div class='image-widthsetter' style="max-width:676px;"><p class="vanilla-image-block" style="padding-top:31.51%;"><img id="diM9tpwF2Lz85R8q85CT78" name="tr-g_news" alt="Google logo on a black background next to text reading 'Click to follow TechRadar'" src="https://cdn.mos.cms.futurecdn.net/diM9tpwF2Lz85R8q85CT78.jpg" mos="" align="right" fullscreen="" width="676" height="213" attribution="" endorsement="" class="pull-rightinline"></p></div></div></figure> </article> ]]>