Claude Opus 5.5 Pricing: Full Cost Breakdown (2026)

Julian Goldie — founder, AI Profit Boardroom
By Julian Goldie · 8 min read
Get The AI Profit Stack Join AIPB →
🎯 1,000+ done-for-you AI agent workflows 📅 4 live coaching calls every week 🛡️ 7-day refund + 30-day ROI guarantee 👥 3,400+ AI operators inside

Claude opus 5.5 pricing lands at 4 dollars per million input tokens and 20 dollars per million output tokens — 20 per cent below Claude Opus 5's 5 and 25 dollars — with cache reads at 0.20 dollars per million, and Anthropic says the model works out about 40 per cent cheaper to run than Opus 5 on typical workloads, per the official announcement published on 22 September 2026.

📺 Watch: Claude Opus 5.5 AI Full COURSE 1 HOUR (Build & Automate Anything)

🔥 Get the Agent OS as a free bonus: AI Profit Boardroom members get the full Agent OS zip, prompt libraries, daily tutorials and weekly live coaching calls. → Get inside

Every number in this breakdown comes from that announcement and from Anthropic's own model documentation, so you can plan budgets against it rather than guessing from screenshots. The short version for anyone running AI automations for profit: the strongest widely available Claude model just got cheaper on every line of the rate card, and the cache line got dramatically cheaper. Here is the full picture, what it means in pounds and pence for real workloads, and how it stacks up against the rival price cut OpenAI shipped the same week.

Claude Opus 5.5 Pricing: The Full Rate Card

Anthropic published the complete schedule alongside the release. The model ID is claude-opus-5-5, and these are the standard API rates, per million tokens, in US dollars.

Line itemClaude Opus 5.5Claude Opus 5 (previous)
Input4 dollars5 dollars
Output20 dollars25 dollars
Cache reads0.20 dollars0.50 dollars
Cache writes5 dollars—
Fast mode input8 dollars—
Fast mode output40 dollars—

The headline input and output cuts are both a straight 20 per cent. The cache read cut is the outlier: 0.20 against 0.50 is a 60 per cent reduction, and as you will see below, that single line changes the economics of agent workloads more than the headline rates do.

How the New Rates Compare With Claude Opus 5

Claude Opus 5 shipped on 24 July 2026, so its flagship run lasted barely two months before Anthropic moved it to the legacy list with an explicit recommendation to migrate. The full generational comparison — knowledge cutoffs, defaults and all — is covered in the Claude Opus 5.5 vs Claude Opus 5 breakdown, but on cost alone the migration case is simple: you pay less on every metered line for a model Anthropic says performs at the level of Claude Fable 5.1 on most work. There is no pricing scenario where staying on Opus 5 saves you money.

If you want to turn cheaper frontier models into an actual income stream rather than a hobby, check out the AI Profit Boardroom → join the community turning AI workflows into revenue. Prefer 1-on-1 help with your SEO and AI stack? Book a free SEO strategy session and get a plan mapped to your site.

Cache Pricing Is the Line That Changes Your Margins

For a single chat completion, claude opus 5.5 pricing differences of a dollar per million input tokens barely register. For agents, they compound. An agent re-reads its system prompt, its tool definitions and its working context on every step, and prompt caching is what stops that repetition being billed at full rate. At 0.20 dollars per million tokens, a cached read now costs one twentieth of a fresh input read. That is why Anthropic's 40 per cent typical-workload figure is bigger than the 20 per cent headline cut: long agent sessions leaning on cached context see the 60 per cent cache saving on the bulk of their token volume. If you run overnight automations through a Hermes agent OS setup, the cache line is the one to model first, because a standing agent loop is mostly cached reads punctuated by short bursts of fresh output.

Fast Mode Pricing: Double the Rate for Quicker Output

The announcement also lists a fast mode at 8 dollars input and 40 dollars output per million tokens — exactly double the standard rates. Anthropic already claims Opus 5.5 generates output more than 30 per cent faster than Opus 5 at standard pricing, so fast mode is for the narrower case where latency directly costs you money: client-facing tools, live workflows, anything where a human is waiting on the answer. For batch SEO generation, research runs and scheduled automations, standard mode is the obvious default; paying double to make an unattended job finish sooner rarely pays for itself.

What Claude Opus 5.5 Costs in Real Workloads

Put the pieces together and a realistic monthly picture emerges. Say your automation stack pushes 50 million input tokens, 10 million output tokens and 200 million cached reads a month — a plausible shape for a small agency running content, research and reporting agents. On Opus 5 rates that is 250 dollars of input, 250 of output and 100 of cache: roughly 600 dollars. On Claude Opus 5.5 the same volume is 200 plus 200 plus 40: 440 dollars, about 27 per cent off without touching your prompts. Skew the mix further towards cached agent loops and you approach Anthropic's 40 per cent figure. The point of arithmetic like this is that model price cuts are margin you keep — the deliverables you sell do not get cheaper because your token bill did. The guide to making money with Hermes agents covers the revenue side of that equation.

Claude Opus 5.5 Pricing vs GPT-6 Sol

The same week Opus 5.5 arrived, OpenAI cut GPT-6 Sol to 2 dollars input and 10 dollars output per million tokens, per its official API pricing documentation. On raw rates, Sol is half the price of Opus 5.5. On cache, they meet: both bill cached reads at 0.20 dollars per million. So the honest framing is that Anthropic is not competing on being cheapest — it is pricing Opus 5.5 as the premium option while cutting just enough that the gap stops being a blocker. Which model earns that premium for your workload is a benchmark question, not a pricing one, and the Goldie Bench write-up is the funnel's standing resource on how these frontier brains compare on real agent tasks. For choosing a day-to-day agent brain across price tiers, the best Hermes agent LLM guide walks the whole menu.

The Performance You Get for the Money

Price only means something against capability, so here are the benchmark figures Anthropic published with the release: 66.4 per cent on Terminal-Bench 4.0 for agentic coding, an 1846 Elo on the GDPval-AA v2.1 knowledge-work evaluation, 81.8 per cent partial completion on OSWorld 2.0 for computer use, and 67.7 per cent with tools on multidisciplinary reasoning. Anthropic's summary claim is that Opus 5.5 performs at the level of Claude Fable 5.1 — its own top-tier model — on most work, while sitting on an Opus-tier rate card. Treat vendor benchmarks as the vendor's best foot forward, as ever; the practical takeaway is that Anthropic is positioning near-flagship capability at 20 to 60 per cent lower rates than the model it replaces.

📺 Watch: Claude Opus 5.5 Agent OS is SCARY GOOD!

Where You Can Run Claude Opus 5.5

The announcement lists availability on all major platforms, including Amazon Web Services, Google Cloud and Microsoft Azure, alongside Anthropic's own API under the claude-opus-5-5 model ID. It also became the default Opus model in Claude Code from version 2.1.280, whose changelog notes 1M context and the same 4 and 20 dollar rates with 0.20 cache reads. If you already pay for a Claude subscription, there is a route that sidesteps per-token billing entirely: running the model through your existing plan inside a Hermes agent, covered step by step in the Hermes agent with Claude Code subscription guide and the Hermes Claude Opus 5.5 page. For heavier API use, the best Hermes agent models comparison helps you decide when Opus-tier is worth it over cheaper brains.

📺 Watch: Claude Opus 5.5 AI SEO: 0 to 1,300 Clicks

Is Claude Opus 5.5 Worth the Price for AI SEO?

For content and SEO automation specifically, the calculus is favourable. SEO workloads are cache-heavy — the same site context, style guides and instructions re-read across hundreds of generations — which is exactly the traffic shape the 0.20 dollar cache line rewards. Earlier Opus generations already carried these workflows profitably, as the Claude Opus 4.7 AI SEO case study documents from the funnel's own archives, and this release delivers a stronger model at lower rates into the same pipelines. The Agent OS resource shows how those pipelines are structured if you want the full operating-system view of running content agents day to day.

The bottom line on claude opus 5.5 pricing: 4 dollars in, 20 dollars out, 0.20 dollars cached, roughly 40 per cent cheaper in practice than the model it replaces, and premium-tier but no longer painfully so against OpenAI's cut-price GPT-6 Sol. If your stack is already on Claude, migrating is free money; if it is not, the cache economics are the reason to run the comparison properly.

If you want the exact agent workflows that turn these token prices into client revenue — templates, prompt libraries and weekly coaching — check out the AI Profit Boardroom → get inside the Boardroom. And if you would rather have your AI SEO roadmap built with you, book a free SEO strategy session today.

What members say about the AI Profit Boardroom

Read all 114 reviews on Skool →

★ 4.9 out of 5 from 114 member reviews on Skool

Yosuke Sato, AI Profit Boardroom member review (5 stars, paying member for 17 months): The best Skool course you get for AI! I have attended a few Skool courses before, but AI Profit Boardroom is the most active community and has great support from the management team, including Julian! You can get the most up-to-date information and practical implementations in this community. I highly recommend this!Mazzie T, AI Profit Boardroom member review (5 stars, paying member for 10 months): My mind is blown everyday with all the content and the incredible information. So much support and I love the personalised attention and quick responses. The community is great and people are very responsive and helpful.Rene Clayton, AI Profit Boardroom member review (5 stars, paying member for 9 months): The AI Profit Boardroom is a GAME CHANGER people. I could not be more thrilled that I joined!! So much support, more information than you can even consume, a huge value for what the small fee was. I have grown my business, my knowledge and my FUN!. SUCH a fantastic leader and group of humans. I am incredibly honored to be a part of this fantastic group of intelligent humans :-) THANK YOU!Arpiet Malpani, AI Profit Boardroom member review (5 stars, paying member for 8 months): Incredible learning from Julian and team. I started out in march and was able to build end to end SAAS with the help and learning from this group. I am incredibly thankful to Julian for crazy support and prompt response.James Grimm, AI Profit Boardroom member review (5 stars, paying member for 7 months): I asked Julian for help finding local business websites with little to no traffic. Julian was gracious in providing me my personal "how-to" video instruction. Wow, this is the pinnacle of customer service! I am just one of 3,400 subscribers and Julian took the time to help me personally. Thank you Julian for your assistance and outstanding custoemr support and care. James (Jim) GrimmNick Good, AI Profit Boardroom member review (5 stars, paying member for 4 months): I’m part of many AI groups and hands down, what Julian Goldie, has built here…the classroom trainings are amazing, but the community he has created is second to none (the community is worth the cost of joining!). If you’re looking to become the AI expert and build/create something meaningful, then AI Profit Boardroom is for YOU!Steven Gray, AI Profit Boardroom member review (5 stars, paying member for 4 months): Been in awhile. I’m a dad on a factory shift, not a tech bloke. Julian’s lot showed me how to use AI without drowning in tools. Avatar, voice, the workflow thinking — that’s what I needed. If you’re stuck on “where do I start,” this group’s worth it. I always read them.Steve Erickson, AI Profit Boardroom member review (5 stars, paying member for 4 months): I asked Julian a simple question, and he ended up creating a 10-minute video and a guide breaking down in extreme detail what I had asked. Amazing response!Rod Martin, AI Profit Boardroom member review (5 stars, paying member for 3 months): Julian is brilliant, and more prolific than I can keep up with (which is a great thing). His AgentOS is remarkable, and he is THE go-to guy for what you can really do (and not do) with the ever-increasing deluge of new AI upgrades and tools. HIGHLY recommend.Daniel Shulman, AI Profit Boardroom member review (5 stars, paying member for 4 months): Julian is very helpful. He doesn't try sell stuff you dont need and will give you a straight answer to your questions.Rj Herzog, AI Profit Boardroom member review (5 stars, paying member for 5 months): Top notch. If you are searching & searching thinking there is always something better out there.... You just found it. No need to look any further. Goldie covers it all & is super helpful. Can't beat the group either. Really can't recommend this group enough.Jermey Matthews, AI Profit Boardroom member review (5 stars, paying member for 6 months): While he has the capacity to do it, Julian is definitely doing the unscalable things to support his community.

Ready To Join The #1 AI Community?

Join 3,400+ entrepreneurs inside the AI Profit Boardroom. Get the Agent OS, 1,000+ plug-and-play AI agent workflows, daily Q&A with Julian and 4 live coaching calls every week.

Join The AI Profit Boardroom →

7-Day No-Questions Refund • 30-Day ROI Guarantee

← Back to all posts