Claude Opus 5 Launched, Underpricing and Outperforming Fable 5
On July 24, 2026, Anthropic released Claude Opus 5, which exceeds Fable 5 in most benchmarks while costing half as much. This new model is positioned as the default for Claude Max and strongest in Claude Pro, according to Decrypt.
On July 24, 2026, Anthropic introduced Claude Opus 5, priced at $5 per million input tokens, matching its predecessor Opus 4.8 and undercutting Fable 5 by 50%. In performance evaluations, Opus 5 outscored Fable 5 across several key benchmarks, achieving a score of 43.3% on the Frontier-Bench v0.1 coding evaluation, compared to Fable 5's 33.7% and OpenAI's GPT-5.6 Sol at 34.4%. Additionally, on the ARC-AGI-3 problem-solving benchmark, Opus 5 scored 30.2%, significantly higher than GPT-5.6 Sol, which managed only 7.8%.
This release signifies a strategic shift for Anthropic. Previously, Fable 5 was positioned as the everyday AI model for paying users, but its troubled launch in June—notably its removal from the market due to a vulnerability and subsequent adjustment to a credits-only model—has allowed Opus 5 to take its place. The new model is now seen as a more reliable option at a lower cost, making it more appealing for businesses.
Fabian Hedin from Lovable, a platform utilizing Opus 5, noted, "It isn’t just better on our hardest agentic coding tasks, up 22% over Opus 4.7, it’s steadier, with far less variance run to run." Such feedback highlights the model's consistent performance, a critical factor for enterprises relying on AI solutions.
Opus 5 replaces Fable 5 as the primary offering at Anthropic, dominating the performance metrics without being classified in the higher Mythos tier, which includes more restricted versions like Claude Mythos 5. This transition reflects Anthropic's response to the competitive AI landscape and its focus on providing accessible, high-performance AI tools.
Moving forward, industry watchers will be interested in how businesses adopt Claude Opus 5 compared to Fable 5 and what implications this has for pricing strategies and performance testing in the AI sector.
Summary based on original reporting by Jose Antonio Lanz at Decrypt, originally published Jul 24, 2026. SolanaWire does not republish source content.
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