OpenAI and Anthropic slash API prices 80% in AI model cost war
In brief
- OpenAI cut GPT-5.6 Luna prices 80% to $0.20/$1.20 per million tokens July 30
- Anthropic made Claude Sonnet 5 introductory pricing permanent at $2/$10 per million tokens
- DeepSeek V4 Flash undercuts US pricing by 5-9x, forcing aggressive US responses
- Enterprises now route routine tasks to cheap models and specialized work to premium tiers
The price cuts accelerate
OpenAI cut prices on GPT-5.6 Luna by 80% on July 30, bringing costs down to $0.20 per million input tokens and $1.20 per million output tokens. The company's higher-end GPT-5.6 Terra also declined 20% to $2 input and $12 output per million tokens. Anthropic followed on August 10, making the introductory pricing for Claude Sonnet 5 permanent at $2/$10 per million tokens.
Then September 22 brought a second wave. OpenAI launched GPT-6 Sol and Luna at $2/$10 and $0.10/$0.50 respectively, roughly 50% lower than previous generation pricing. Anthropic countered with Claude Opus 5.5 at $4/$20 list pricing, though built-in efficiency improvements deliver around 40% effective savings for users.
Why the cuts matter
The strategy's logic is straightforward. Cutting prices aggressively boosts adoption and usage metrics, but it also compresses margins. The bet is that lower prices drive higher volume, and higher volume eventually compensates for thinner margins on each individual API call.
Enterprises are increasingly splitting their workloads into tiers. Cheap proprietary models handle routine tasks like summarization and classification. Premium models stay reserved for specialized work where accuracy and reasoning matter most. This tiered approach makes pricing wars particularly potent — a 50% cut on entry-level models can unlock entire new use cases.
The Chinese challenge
But OpenAI and Anthropic aren't just competing with each other. DeepSeek V4 Flash offers pricing as low as roughly $0.14/$0.28 per million tokens, undercutting American counterparts by a wide margin. Some Chinese models now approach US mid-tier capabilities at five to nine times lower costs.
The aggressive pricing from OpenAI and Anthropic signals they're treating cost competition as an existential threat. Both companies are widely expected to pursue IPOs, which means growth metrics matter — a lot. Demonstrating that lower prices drive adoption (rather than just eroding profitability) becomes a critical narrative for investors.
