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Analysis and Review: Anthropic's Best AI Model Still Struggles to Attract Users as Low-Cost Tools Rapidly Expand

Analyzing the strengths, limitations, and value for money of Anthropic's top-tier AI model amid competition from increasingly popular low-cost tools.

Analysis and Review: Anthropic's Best AI Model Still Struggles to Attract Users as Low-Cost Tools Rapidly Expand

Anthropic has the model widely considered the smartest in the Claude lineup, but actual corporate spending tells a different story. Data from Ramp, which tracks spending across more than 70,000 companies’ corporate cards, shows that Claude Fable 5, Anthropic’s flagship model, still accounts for only about 11% of all corporate spending on Anthropic models.

The main reason is price. When older models or cheaper competitors handle everyday work well enough, many companies see no urgency to pay a premium for the very best available.

Fable 5 is the smartest Claude model, but its spending share is still small

Fable 5 is positioned as Anthropic’s flagship, built for complex reasoning, long-document analysis, and multi-step coding tasks. But its higher price compared with other models in the same family means many companies still lean on Opus 4.8 or Sonnet 4.6, which cost less and cover most of the same work.

Diagram of an augmented LLM architecture with retrieval, external tools, and memory, following the pattern Anthropic has published

This should be read as a picture of a premium player that is genuinely capable, but still has to prove that its extra capability is worth the extra price in the eyes of enterprise buyers.

Opus 5 launched July 24 and overtook it faster than expected

Anthropic launched Claude Opus 5 on July 24, 2026, priced clearly lower than Fable 5. According to the Financial Times, Opus 5’s share of spending in the Ramp Index overtook Fable 5’s within a short time of launch.

This shows enterprise buyer behavior clearly: once a cheaper option with adequate quality shows up, companies switch right away instead of waiting to see if the flagship’s extra capability pays off.

Revenue is growing fast, but still trailing investor expectations

Anthropic’s annualized revenue climbed to $65 billion in July 2026, up from $47 billion in May — a very fast pace of growth over just a couple of months.

But that figure still falls short of what some investors had expected, which was for revenue to top $80 billion. That gap between actual growth and expectations is what’s fueling questions about whether a pricey flagship model is still the right strategy, even though Anthropic still has more than 6,000 enterprise customers paying over $100,000 a year — a solid enterprise customer base.

Chart comparing how many weeks each AI app took to reach $1 million in revenue on the App Store and Google Play, based on Appfigures Explorer data

Data from Appfigures Explorer in this chart tells a similar story. The Claude app took 16 weeks to reach $1 million in revenue on mobile app stores — faster than Copilot (19 weeks) and Perplexity (22 weeks), but still slower than ChatGPT, which took only 3 weeks. That suggests consumers, too, warmed up to Claude more slowly than to its biggest rival.

Competitors aren’t standing still: GPT-5.6 and cheap Chinese models

That same July, OpenAI launched GPT-5.6 priced clearly below Fable 5, and OpenAI’s annualized revenue jumped past $40 billion, up roughly 35% in a single quarter following the launch.

Chinese players are also offering cheaper, more versatile models, adding further pressure on Anthropic to compete on price as well as quality — not just on benchmark scores.

An investor’s take: “most people don’t need cutting-edge technology”

Miles Clements, a partner at Accel — a venture firm that has put nearly $1 billion into Anthropic — put it bluntly: “Most people don’t need to use cutting-edge technology.”

That comment matches exactly what the Ramp data shows. Most work at most companies doesn’t call for the smartest model on the market — it calls for a model that handles everyday tasks at a price the business is willing to pay.

How Fable 5, Opus 5, and GPT-5.6 compare

Factor Claude Fable 5Claude Opus 5GPT-5.6
Market position Anthropic's smartest flagship modelCheaper option in the same familyOpenAI's main competing model
Launch date Before Opus 5July 24, 2026July 2026
Price vs. Fable 5 Reference point (most expensive)CheaperClearly cheaper
Ramp Index spending share (Jul 2026) About 11% of Anthropic spendingOvertook Fable 5 shortly after launchNot tracked in the Ramp Index (different platform)
Annualized revenue after launch No model-specific figure availableNo model-specific figure availableOver $40B, up 35% in one quarter

The table shows a clear trend: the cheaper, later-launched model gained traction faster than the flagship built to be the smartest.

How it compares with ChatGPT, Gemini, and open source

Factor AnthropicChatGPTGeminiOpen source
Real-world quality Strong at writing and analysisBalanced across many tasksStrong at information retrievalDepends on the model and configuration
Price and quota Higher-tier plans require a larger budgetSeveral options availableSuitable for Google service usersCost-effective when self-hosted
Files and tools Good for documents and codeWide range of toolsEasy integration with Google servicesRequires setting everything up yourself
Accessibility Easy to use, but quota depends on the planEasy to get startedEasy to get startedBest suited to developers

General users tend to pick ChatGPT or Gemini for better overall value, while developers who want to control their own stack may prefer open source.

Why Fable 5 still earns its price for the most demanding work

SWE-bench Verified results comparing software-engineering accuracy of earlier Claude models against OpenAI Codex-1, o3, GPT-4.1, and Gemini 2.5 Pro

Results like the SWE-bench Verified scores shown here are part of why the Claude family has a reputation for accuracy on analysis and code work that requires holding context over long stretches. Teams that need to ship high-quality work and cut down on revision cycles still see value in Fable 5, even at a higher price than the rest of the lineup.

Pros

  • +Accurate on complex analysis and coding tasks
  • +Holds context well across long documents and multi-step work

Cons

  • Noticeably more expensive than other models in the same family
  • Everyday tasks may show little difference versus cheaper options

Price is the biggest weakness in enterprise buyers’ eyes

Fable 5’s biggest weakness is its price. The 11% figure from the Ramp Index says plainly that most enterprise customers aren’t ready to pay more for the absolute best, especially when the cheaper Opus 5 covers most of the same ground.

The arrival of GPT-5.6 and low-cost Chinese models only gives companies more alternatives, adding pressure on Anthropic to rethink how it prices its flagship.

Pros

  • +Well suited to work that demands top-tier accuracy
  • +Handles complex, multi-step tasks well

Cons

  • Enterprise spending share is far lower than expected
  • Cheaper competitors are taking share quickly

Who should pay to use Fable 5

Made for

  • Software developers who need to analyze complex code and solve multi-step problems
  • Analysts, professional writers, and teams working with large volumes of documents
!

Think twice

  • Small teams that need to weigh the cost against actual workload before upgrading from Opus 5
×

Skip this one

  • Companies whose work is mostly everyday tasks — Opus 5 or a cheaper model is enough

The bottom line: being the smartest model doesn’t guarantee winning the market

The Ramp Index numbers make it clear: Fable 5 isn’t the top choice for enterprise customers yet, even as the smartest model in the Claude lineup. Anthropic’s overall revenue is still growing fast, but it’s trailing investor expectations, while Opus 5, GPT-5.6, and cheap Chinese models keep chipping away at its share.

The 2026 AI market is no longer just about who tops the benchmarks. It’s about which model delivers value that matches what a company actually has to pay every month.