Anthropic Offers AI Products to U.S. Government for $1, Outpacing Competitors with 74.5% Accuracy

Anthropic, a leading artificial intelligence company, has reportedly planned to offer its products to the U.S. federal government at an exceptionally low price of just one dollar. This aggressive pricing strategy is part of a broader effort to secure a larger share of the government's business, which is seen as a significant client in the AI market. The move comes as the U.S. government has been actively promoting the adoption of AI technologies within federal agencies, a goal set by the Trump administration.

Anthropic's strategy is not only aimed at capturing a larger market share but also at responding to the intense competition within the AI industry. The company recently released an upgraded version of its flagship AI model, Claude Opus 4.1, just ahead of OpenAI's anticipated launch of GPT-5. This new model achieved a 74.5% accuracy rate in the SWE-bench Verified benchmark test, outperforming competitors like OpenAI's o3 model and Google's Gemini 2.5 Pro. This move is seen as a preemptive strike to maintain Anthropic's dominance in the coding market, where OpenAI's GPT-5 was expected to pose a significant challenge.

The competitive landscape in the AI sector is further intensified by the actions of other major players. OpenAI, for instance, has introduced two new open-weight AI inference models, which are designed to attract developers and gain support from the federal government. This follows a directive from the Trump administration encouraging AI developers to open-source more of their technologies to promote the global adoption of AI that aligns with American values.

Anthropic's decision to offer its products at such a low price is a bold move that reflects the company's confidence in its technology and its willingness to invest in securing long-term government contracts. The strategy also underscores the broader trend of AI companies aggressively pursuing government business as a means of validating their technologies and securing stable revenue streams. As the AI industry continues to evolve, such competitive maneuvers are likely to become more common, driving innovation and shaping the future of AI adoption in both the public and private sectors.