DeepSeek has reduced the API price of its V4-Pro model by 75%, and after the promotional period ends on May 31, 2026, this reduced price becomes the official new rate. This is not a temporary sale: it is a structural shift in the pricing floor for capable AI inference.
DeepSeek has reduced the API price of its V4-Pro model by 75%, and after the promotional period ends on May 31, 2026, this reduced price becomes the official new rate. This is not a temporary sale: it is a structural shift in the pricing floor for capable AI inference.
DeepSeek V4-Pro is a frontier-class language model whose API pricing has been cut to one-quarter of its original rate. According to DeepSeek's official documentation, after the promotional period ends on May 31, 2026 at 15:59 UTC, the promotional price will be adjusted to become the official new price. The new rates are $0.435 per million input tokens (uncached), $0.87 per million output tokens, and $0.003625 per million tokens on cache hits.
To put this in market context: Claude Haiku charges $5 per million output tokens, Claude Sonnet charges $15, and Claude Opus charges $75. DeepSeek V4-Pro at $0.87 per million output tokens is dramatically cheaper than all of them. This is not a marginal discount: it is an order-of-magnitude difference.
The pricing change is straightforward: DeepSeek's official API documentation confirms that after the promotional period, the reduced rate becomes the standard price. The key rates are $0.435 per million input tokens without cache, $0.87 per million output tokens, and $0.003625 per million tokens on cache hits. The cache hit rate is particularly notable because applications that reuse context across requests can benefit from near-zero input costs.
It is important to note that this should not be described as a "permanent" price in the sense that it can never change. DeepSeek can adjust pricing in the future. The accurate framing is that the promotional price becomes the new official price, but the company retains the right to modify it later.
Cheaper does not automatically mean better. DeepSeek V4-Pro has strong benchmarks and is competitive on many tests, but when deploying into a real product, you still need to evaluate latency, stability, tool-calling reliability, and actual coding performance in your specific workflow. Price is one factor; quality and reliability are others. The pricing comparisons with Claude and OpenAI are provided as market context, not as a quality ranking. Different models excel at different tasks, and the cheapest option is not always the right one for production workloads. Additionally, vendor-published benchmarks should be treated with appropriate skepticism: they reflect the vendor's framing and selected tests.
This pricing change matters most for developers and startups building token-intensive applications: coding agents, long-document analysis, RAG pipelines, enterprise chatbots, and batch data processing. If your application's viability has been gated by API cost, DeepSeek's new pricing may unlock it. For teams already using Claude or OpenAI, it is worth benchmarking DeepSeek on your actual workload to see if the cost savings hold without unacceptable quality tradeoffs.
The broader signal here is clear: capable AI inference is getting cheaper, and the applications that become possible at lower price points are expanding. Whether DeepSeek maintains this pricing or competitors respond, the floor has moved.