DeepSeek is positioning its AI agents as a cost-effective option by permanently reducing prices for its flagship model, DeepSeek V4 Pro. The price drop makes permanent a previously time-limited 75% discount promotion. The new pricing ranges from $0.003625 to $0.87 per one million tokens, down from $0.0145 to $3.48 per one million tokens. The change follows the release of V4 models, Pro and Flash, which were presented as enabling an era of cost-effective 1M context length. The lower costs can benefit enterprise accounts and power users processing millions of tokens daily. The pricing also offers a more affordable alternative to models such as OpenAI’s GPT-5 and Google’s Gemini 3.5 Flash, and may pressure competitors amid prior accusations of distillation attacks.
"DeepSeek is leaning hard into being the “cost-effective” choice for AI agents. According to its website, the Chinese startup is dropping the price for its latest flagship model, DeepSeek V4 Pro, to a fourth of its original price. This latest price update makes permanent the 75 percent discount promotion that was previously supposed to end on May 31, 2026."
"As seen on the website's pricing page, the DeepSeek V4 Pro prices now range from $0.003625 to $0.87 per one million tokens, compared to the previous range between $0.0145 to $3.48 for every million tokens. The company's decision to permanently reduce the price comes a month after it released its V4 models, Pro and Flash, which it claimed would welcome the “era of cost-effective 1M context length.”"
"DeepSeek's deep discounts should prove to be a major cost savings for enterprise accounts or power users who go through millions of tokens in a day. The major price drop also presents a more affordable alternative to other popular AI models, like OpenAI's GPT-5 or the recently released Gemini 3.5 Flash from Google. DeepSeek's price undercutting might provoke competitors, like Anthropic, who previously accused the Chinese company of “ distillation attacks” that improperly learn from Claude's more capable AI models."
Read at Engadget
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