At a time when computing costs are rising globally, DeepSeek surprised the market by significantly cutting its API pricing just days after launching its new V4 model.
This move puts the company on a completely different path from what we’re used to seeing in tech—where costs are typically passed directly on to users.
The reductions weren’t symbolic. Cache pricing was slashed to one-tenth of its previous cost, alongside a temporary 75% discount on the V4-Pro model.
This brings the cost of processing one million tokens down to just a few cents—while major competitors still range between $12 and $25 per million tokens.
The result isn’t just a promotional offer, but a pricing gap that redefines what it means to access advanced AI models.
It opens the door for startups and developers who were previously held back by high costs.
Technically, the V4-Pro model is massive—currently considered the largest open-weights model available—alongside a lighter version called V4-Flash for those seeking a balance between performance and cost.
This reinforces the idea that the company isn’t just competing on raw power, but on flexible options tailored to different user segments.
Another interesting detail: the model runs on Huawei chips instead of NVIDIA.
This reflects a strategic shift toward reducing reliance on U.S. technology, especially amid ongoing geopolitical tensions and restrictions.
While DeepSeek acknowledges that its model lags a few months behind the latest releases from OpenAI and Google (e.g., GPT and Gemini), it delivers significantly higher computational efficiency compared to its previous versions.
This means applications that require processing long texts or large databases can now run at lower cost and with lighter infrastructure.
In short, DeepSeek isn’t just competing to build the “smartest” model—but to make AI affordable for everyone.
This may not immediately change the leaderboard, but it could reshape the entire market.