Anthropic's latest model release addresses one of the biggest pain points with its models.
On Tuesday, the company announced Claude Fable 5.1 and Mythos 5.1, the latest version of the most powerful models in its line-up. While Fable is generally available, Mythos, which has additional cybersecurity capabilities, is available only through trusted access programs.
And with many enterprises clamping down on AI costs, Anthropic is taking the hint: The company said that Fable 5.1 will cost an estimated 25% less than Fable 5 for typical workloads "wherever usage is billed by token." Notably, agentic workloads will see much higher savings, Anthropic said, estimating around 45%.
- The company said that this is because it is reducing its costs for cache reads, or when the model reads inputs that it had already previously processed and stored.
- And these reduced prices don't come at the cost of performance: Anthropic claims that Fable 5.1 "sets a new standard" for coding, knowledge work, and long-running problem-solving, beating out previous generations and OpenAI's GPT-5.6 Sol on benchmarks for these tasks.
- Additionally, the models come with a new system for data retention, called Enterprise Frontier Safeguards, which gives customers the same right to privacy as a zero data retention (ZDR) policy. Anthropic also introduced safeguards that reduce false positives in cybersecurity contexts.
- However, outside of the potential caching savings, Fable 5.1’s pricing is otherwise the same as Fable 5’s at $10 per million input tokens and $50 per million output tokens. That still makes it one of the most expensive models on the market.
The model was tested by a number of Anthropic's early-access partners, including Cognition, Rakuten, Red Hat, Block, Ramp and Canva.
"Fable-level intelligence, Opus-level price, Sonnet-speed," Dan Shipper, CEO of Every and one of the early testers of the model, said in the release. "In our tests it was about twice as fast as Opus 5 and used half as many tokens, so for anyone used to using Opus as their daily driver it's an obvious upgrade."
Anthropic is highlighting cost savings with this release at a particularly opportune moment, as some enterprises grow weary of tokenmaxxing sticker shock. It's led to an uptick in the popularity of open-source models and driving down token costs. Recent data from the LLM Token Expenditure Index finds that, as of August 31, users are spending an average of 97 cents per million tokens, down from a high of $2.07 per million in late May.
Our Deeper View #
Anthropic making its most powerful flagship AI cheaper was the most consequential move it could have made at this point. Of course, it didn't technically cut prices, but rather made its models more token-efficient. Enterprises are surrounded with viable alternatives to proprietary frontier AI, whether that be Chinese open-source models, domain-specific models, or simply settling for efficient SLMs that get the job done. Additionally, rival OpenAI is trying to lure in customers with cost efficiency, too, chopping prices for its models more than once. While this is certainly good news for customers seeking out frontier AI, cutting prices may not address the elephant in the room: As model routing services become popular, customers may start to care less about which models they're actually using. That effectively turns these frontier models into interchangeable commodities rather than unique systems, meaning that the price may become the most important frontier in the race towards widespread adoption.