Anthropic’s Fable 5 accounts for just 6% of purchased tokens as cheaper Opus 5 steals the show

Anthropic built its most powerful AI model ever, slapped a premium price tag on it, and watched customers shrug. Claude Fable 5, the company’s flagship “Mythos-class” model launched on June 9, 2026, has captured just 6% of total tokens purchased in its first two months on the market.

For a model positioned as the pinnacle of Anthropic’s AI capabilities, that’s a remarkably thin slice of the pie. Even measured by revenue, where Fable 5’s higher prices should inflate its share, the model accounts for only 11.4% of earnings.

The price tag problem

Fable 5 costs $10 per million input tokens and $50 per million output tokens. Anthropic released Claude Opus 5 on July 24, barely six weeks after Fable 5’s debut, priced at exactly half: $5 per million input tokens and $25 per million output tokens.

Opus 5 matches or exceeds Fable 5’s performance across many benchmarks. When a model that costs 50% less delivers comparable results, the math isn’t complicated. Developers and enterprises ran the numbers and made the obvious call.

Anthropic frames this as intentional segmentation rather than cannibalization. Fable 5 is designed for “long-horizon projects,” the kind of complex, multi-step reasoning tasks where marginal improvements in capability justify the premium. Opus 5, meanwhile, handles “everyday high-value work” for broader enterprise needs.

What this means for Anthropic’s strategy

The company has already started adjusting how users access Fable 5, including temporary subscription inclusions and shifts to usage-based credits. These aren’t the moves of a company watching its premium product fly off the shelves. They’re the moves of a company trying to get more people to actually try the thing.

Anthropic appears to be settling into a dual-market approach. The strategy banks on a small cohort of power users paying the Fable 5 premium. Meanwhile, Opus 5 and other lower-tier models handle the volume.

If Fable 5’s share stays in the single digits, it raises questions about whether Anthropic can sustain the economics of developing ultra-premium models. A model that generates 11.4% of revenue while presumably consuming a disproportionate share of compute resources to develop is a tough business case to defend indefinitely.

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