<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI Pricing on SoloSoft</title><link>https://www.solosoft.dev/tags/ai-pricing/</link><description>Recent content in AI Pricing on SoloSoft</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://www.solosoft.dev/tags/ai-pricing/index.xml" rel="self" type="application/rss+xml"/><item><title>DeepSeek V4: The Price Shock Reshaping the AI Model Race</title><link>https://www.solosoft.dev/trends/deepseek-v4-price-disruption-20260426/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/trends/deepseek-v4-price-disruption-20260426/</guid><description>&lt;p&gt;On April 24, 2026, DeepSeek released two new models — V4-Pro and V4-Flash — that immediately rattled the pricing assumptions underlying every enterprise AI budget. The V4-Pro&amp;rsquo;s output cost of $3.48 per million tokens sits at roughly one-seventh of GPT-5.5&amp;rsquo;s price and one-sixth of Claude Opus 4.7&amp;rsquo;s. For teams running at any scale — production coding assistants, RAG pipelines, customer service automation — the math is hard to ignore. This is not a modest incremental release. It is the latest entry in what is becoming a structural pricing war, one where China&amp;rsquo;s AI labs are using capital-efficient architectures and lower operating costs to compress the cost-per-intelligence unit faster than the market can absorb.&lt;/p&gt;</description></item></channel></rss>