Why OpenAI is resetting frontier AI prices

OpenAI cut the price of its top-tier model GPT-5.6 Sol by more than 20% for the next three months, lowering input costs to $4 per million tokens and output to $20 per million tokens, undercutting Anthropic's Fable 5 and Opus 5. The move follows earlier reductions on GPT-5.6 Terra and Luna and comes as Gartner research projects agent inference costs could rise fivefold by 2028, with enterprise spending data from Ramp showing most business AI spend is on less powerful models.

penAI is usually the AI industry's trendsetter. Its latest focus is all about making tokens more affordable. Last week, the company announced that it would cut prices of GPT-5.6 Sol https://x.com/OpenAI/status/2090885187634905500 , its highest performing model, by more than 20% for developers for the next three months. The model is now priced at $4 per million input tokens and $20 per million output tokens for standard short-context use, compared to previous pricing of $5 per 1 million input tokens and $30 per 1 million output tokens. It's also far below the costs of Fable 5, the most powerful model from rival Anthropic, which runs at $10 per million input tokens and $50 per million output tokens. Sol is now also cheaper than Opus 5, Anthropic's most recent model, which comes out to $5 per million input tokens and $25 per million output tokens. It's not the first time OpenAI has slashed prices for its models. Last month, the company chopped prices https://www.cnbc.com/2026/07/30/open-ai-price-cut-gpt.html for GPT-5.6 Terra, its mid-tier model, and GPT-5.6 Luna, its lightweight, efficient model, by 20% and 80%, respectively. Though these price cuts help it stay competitive with Anthropic, they also may be edging the company beyond cheaper Chinese alternatives: In a post on X https://x.com/ttunguz/status/2091919058598031541 , Tomasz Tunguz, venture capitalist at VC firm Theory, noted that OpenAI's Luna is price competitive with DeepSeek's latest model intelligence-to-dollar. Additionally, according to benchmark platform Arena https://x.com/arena/status/2091971806190325828 , Sol's price decrease has improved its performance in agentic benchmarks for coding and work. These price cuts come as enterprises begin to seriously question their AI spending, with agents poised to increase inference costs up to fivefold, according to recent Gartner research https://www.thedeepview.com/articles/running-ai-agents-will-cost-5x-more-by-2028 . And the evidence is already starting to pile up that companies are shifting away from implementing frontier AI at any cost: - In mid-August, data from payments platform Ramp https://www.thedeepview.com/articles/ai-scaling-laws-collide-with-enterprise-economics indicated that most of business spending on Anthropic models wasn't on its ultrapowerful model Fable 5, comprising only 6% of token spend. - For comparison, OpenAI's GPT-5.6 Sol comprised 25% of tokens used by OpenAI Ramp customers. - Meanwhile, Anthropic's less powerful Opus 5 https://www.implicator.ai/anthropic-opus-5-overtakes-fable-5-corporate-spending/?utm source=thedeepview&utm medium=newsletter&utm campaign=how-a-mystery-model-surprised-the-ai-industry has surpassed Fable 5 in business spending. Our Deeper View Though OpenAI tends to be one of the industry's tastemakers, it may also be reading the tea leaves from the fact that enterprises are pulling back spending on powerful frontier models, and are largely comfortable settling for efficiency over capability for many tasks. It's why small models, domain-specific models, and open-source alternatives are gaining so much traction. However, as getting enterprises to adopt frontier intelligence is a major part of the company's strategy, these discounts might be a way to get people to see beyond the price tag. Even if these companies don't need Thor's hammer to kill a fly, by selling Thor's hammer on the cheap, it seems that OpenAI wants them to give it a shot anyway. Plus, with OpenAI putting its best models on sale, perhaps Anthropic will follow in its footsteps.