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Anthropic says Opus 5.5 matches Fable 5.1 “on most tasks” while costing about 40% less to run than Opus 5; Opus 5.5 costs $4/1M input and $20/1M output tokens

Matthias Bastian /The Decoder:

The Decoder Matthias Bastian

Context & Ripple Effects

Anthropic held Opus 5 at $5 per million input tokens and $25 per million output tokens after emphasizing its coding, reasoning, and prompt-cache-friendly tool use in July 2026. Opus 5.5 lowers list prices to $4/$20 while Anthropic says it reduces running cost by about 40%.

The comparison is sharper because Anthropic priced Fable 5.1 at $10/$50 earlier in September, despite a 75% cut to cache-read pricing in its Fable 5.1 pricing update. Opus 5.5 positions near-Fable task performance as the lower-cost option rather than merely a cheaper incremental upgrade.

First-order effects

  • Anthropic customers can shift suitable workloads from Opus 5 to Opus 5.5 at lower token prices while retaining Anthropic's claimed Fable 5.1-level performance on most tasks.
  • Fable 5.1's $10/$50 headline token rate faces a more direct internal benchmark after Opus 5.5's $4/$20 pricing and Anthropic's 40% lower-running-cost claim.

Second-order effects

  • Anthropic's enterprise buyers and agent builders gain a stronger incentive to measure model selection by completed-task cost, including retries and cache use, rather than by nominal model tier.
  • Anthropic must substantiate the gap between token pricing and running-cost claims for workloads that previously relied on Opus 5's coding and tool-use improvements.

Third-order effects

  • If comparable task performance continues to move down the price curve, frontier-model competition will center less on list token rates and more on effective cost per reliable agent task.
  • Safety controls become part of the economic comparison: Anthropic's stated enhanced safeguards can affect the usable cost of deployment alongside raw inference pricing.

The trend: Frontier AI vendors are compressing the price premium for high-end performance, shifting buyer attention toward effective inference cost and verified task outcomes.

Discussion

  • @daniloc.xyz @daniloc.xyz on bluesky
    Anthropic absolutely beclowned since the advent of Sol et al. their game to lose and they stopped for an indulgent nap. let's see if they can get back in the mix before the IPO.  [embedded post]