OpenAI and Anthropic launch lower-cost AI models on same day, escalating price war

Two of America's top AI laboratories released lower-cost versions of their flagship models on the same day, marking a decisive shift in the industry from a pure capability arms race to a dual-front competition in both price and performance.

On Tuesday, Anthropic launched its new-generation model, Claude Opus 5.5, with usage costs approximately 40% lower than its predecessor. On the same day, OpenAI introduced two budget versions of ChatGPT-6—Sol and Luna—priced 50% lower than the ChatGPT-5.6 series. The near-simultaneous timing of these releases underscores the intensity of competition in the current AI market.

Competitive Pressure from Chinese Open-Weight Models

Behind this wave of price cuts is mounting pressure from Chinese "open-weight" models, which allow users to customize and run them on local hardware. Meanwhile, Anthropic is actively preparing for a planned IPO this fall, which is expected to be one of the largest in history. OpenAI, after experiencing a slowdown in growth earlier this year, is betting on price reductions to reignite momentum.

Pricing Details: Anthropic vs. OpenAI

Anthropic – Opus 5.5

• Input tokens: $4 per million tokens
• Output tokens: $20 per million tokens
• By comparison, its current strongest model, Fable 5.1, is priced at $10 per million input tokens and $50 per million output tokens—matching OpenAI's flagship model, Astra.
• Anthropic states that Opus 5.5 performs comparably to Fable 5.1 on most tasks.

OpenAI – Sol and Luna

• Sol: $2 per million input tokens, $10 per million output tokens
• Luna (lightweight version): $0.10 per million input tokens, $0.50 per million output tokens
• OpenAI had already released its strongest model, Astra, earlier this month. Sol and Luna follow as lower-cost supplements to the same series.

Strategic Implications

After a period of intense, capability-driven competition, both US AI labs are increasingly shifting their focus to the combined value of price and performance, aiming to attract cost-sensitive enterprise clients.

Chinese open-weight models pose a growing competitive threat. According to data from cloud application company Vercel, these customizable, locally run models are capturing market share from US labs. In response, OpenAI has cut model prices multiple times in recent months and claims its Astra model is the most powerful on the market.

OpenAI has previously stated that it is unlikely to go public before 2027. After a growth slowdown earlier this year, price cuts have become a core strategy to reignite expansion.

For Anthropic, the launch carries strategic weight beyond pricing. The company is actively expanding its customer base in preparation for a fall IPO, which is expected to be one of the largest tech IPOs in history. Investors widely believe that the release of a new model could serve as a catalyst for the company to formally file its prospectus.

The key question for the market remains: Can Anthropic sustain its rapid growth trajectory in the coming years amid intensifying competition and growing customer price sensitivity?

Safety Commitments: Risk Management Alongside Price Cuts

Notably, these releases come amid rising attention to AI safety.

Opus 5.5 is the first new model launched by Anthropic since CEO Dario Amodei publicly called on AI labs to "keep pace with the frontier" and introduced deep third-party testing. This follows warnings from researchers that an unconstrained race toward self-improving superintelligence could pose risks to humanity.

Anthropic stated that the new model underwent "extensive alignment testing, pre-release external evaluations, and the implementation of safeguards in high-risk areas such as cybersecurity and biology."

On Tuesday, OpenAI also announced priorities for further collaboration with independent evaluators, covering areas such as model training, safety protections, risk preparedness, and incident investigation. The previous week, Anthropic announced a partnership with Accenture for safety testing.

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