Anthropic Reportedly Set to Release Claude Opus 5.5 with API Pricing Cut by ~20%
nashnova research
Anthropic is reportedly launching Claude Opus 5.5 this week, with API input and output prices each cut roughly 20% and cache reads down 60% — if confirmed, this would be the second round of cache price cuts in two months, driven by commercial pressure from GPT-6 Astra.
What is the new model?
According to leaks on X, Anthropic is internally testing a new model codenamed "claude-wafer-eap" — Claude Opus 5.5 — planned for release Tuesday, possibly as early as Monday.
The version number jumps from 5.2 straight to 5.5. This means → Anthropic is accelerating its release cadence, skipping at least two minor versions.
Anthropic has not officially confirmed any of this.
How much cheaper?
Leaked API pricing: $4 per million input tokens, $20 output, $0.20 cache reads.
Against current Opus 5 list prices ($5 input, $25 output, $0.50 cache reads), that is a 20% cut on input and output and a 60% cut on cache reads.
In plain terms = developers calling the same model pay one-fifth less; heavy cache users — storing frequently used content so the model doesn't recompute it each time — save even more.
Anthropic already slashed cache-read pricing by 75% on September 1 with Fable 5.1. This means → if the new cut lands, cache costs will have been chopped twice in two months — a clear price-war move.
What new capabilities?
Several users claiming early access posted 3D car models generated by Opus 5.5, including detailed grille, headlamp, and rooftop-sensor renderings of Waymo's Jaguar I-PACE.
3D modeling has been a showcase capability for the Opus line — when Anthropic launched Opus 5 in July, it demoed the model extracting geometry from mechanical drawings and generating FreeCAD 3D models.
This reflects Anthropic positioning "directly producing usable engineering files" as a differentiator, not just text-based conversation.
Why the acceleration?
Anthropic's recent blog disclosed that as of August, Claude plays a lead role in roughly 26% of internal AI R&D work — up from under 1% in February.
At any given moment, about 30,000 AI agents run in parallel on the company's most-used internal platform, handling research and engineering tasks.
This means → Anthropic is using AI at scale to accelerate its own AI development — the R&D flywheel is spinning, and the version-number jump is the outward sign.
How intense is the competitive pressure?
GPT-6 Astra reportedly drew a strong response from enterprise users and developers after launch; some prospective Anthropic IPO investors have begun reassessing the company's lead in the enterprise AI market.
Last week, platform user spending on OpenAI models surpassed Anthropic's — the first time in over two and a half years.
In plain terms = Anthropic has been seen as "the strongest technical challenger," but wallet votes show OpenAI clawing developers back. Launching a new model and cutting prices at the same time plays both the capability card and the price card.
How does safety rhetoric square with commercial reality?
Anthropic CEO Dario Amodei recently called publicly for slowing the pace of AI capability advances to buy time for safety measures.
The accelerated launch sits in direct tension with that stance. This reflects a reality: even the loudest safety advocate finds it hard to hit the brakes when market share is at stake.
All leaks remain unconfirmed; whether Pro and Max subscription tiers will see matching price adjustments is also unclear pending an official announcement.
市场有风险，内容仅供研究参考，不构成投资建议。