DeepSeek slashes prices for new AI model as the Chinese startup rolls out aggressive discounts aimed at attracting developers and expanding adoption of its latest systems. The move includes steep price cuts for DeepSeek-V4-Pro and lower costs across its broader API lineup.
Why DeepSeek slashes prices for new AI model
According to the company, developers can access DeepSeek-V4-Pro at a 75% discount until May 5.
DeepSeek also said it is reducing prices for input cache hits across its full API portfolio to one-tenth of the original price. That marks a significant cost reduction for users building applications on its platform.
The pricing strategy suggests the company is prioritizing market share and developer growth following the release of its new model family.
New V4 Models Target Performance and Efficiency
On Friday, DeepSeek launched a preview of its V4 model, which the company said has been adapted for Huawei chip technology.
The V4 lineup includes two versions. The Pro model is positioned as the more powerful and higher-priced option, while the Flash version is designed as a lighter and more affordable alternative.
This dual-model approach gives developers flexibility depending on their workload needs and budget.
Benchmark Claims Add Competitive Pressure
DeepSeek said the Pro version outperforms other open-source models in world-knowledge benchmarks, trailing only Google’s closed-source Gemini-Pro-3.1.
If those results hold in broader testing, the company could strengthen its position in the increasingly competitive global AI market.
Built for the Rise of AI Agents
The startup said its V4 models are particularly suited for AI agent workloads.
Unlike standard chatbots, AI agents are designed to complete more complex tasks, but they also require greater computing power. Lower pricing could make those workloads more accessible for developers experimenting with advanced automation tools.
What Comes Next
With DeepSeek slashes prices for new AI model, the company is signaling that competition in AI will not be driven by performance alone. Cost, infrastructure compatibility, and developer access are becoming just as important.
That could intensify pricing pressure across the broader AI model market in the months ahead.
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