On June 9, 2026, Anthropic launched Claude Fable 5.
Three days later, it was gone.
The model was withdrawn worldwide following a US export-control order, generating significant discussion across Reddit, Hacker News, social media, and the technology press. Much of that conversation focused on the implications of the launch and withdrawal itself. We were interested in something different: how users responded in the app ratings and reviews.
To find out, we analyzed 15,514 reviews from Claude's iOS and Google Play apps between May 15 and June 14, including 64 app reviews that specifically mentioned Fable or Mythos. The average app review rating was 3.7 stars across both platforms.
Using Appbot's ratings, sentiment analysis, emotion analysis, topic analysis, and word analysis tools, we looked beyond the headlines to understand not just what users were saying, but how they felt and what they were actually reacting to.
What we found is a useful reminder of why ratings alone rarely tell the full story.
The App Review Star Ratings Suggested One Story
When we isolated the 64 app reviews that specifically mentioned Fable or Mythos the average rating was 2.5 stars.
At first glance, the Fable reviews appeared sharply divided. While 57.8% of reviews were one-star reviews, 31.3% were five-star reviews, with very few landing in the middle.
That kind of distribution would normally suggest two opposing camps: users who loved the model and users who hated it. But when we compared ratings with Appbot’s sentiment analysis, a different picture emerged.
If we stopped the analysis there, we'd probably conclude that Fable was simply polarizing. Some users loved it. Some users hated it. That's a reasonable interpretation of the ratings, but it turns out to be incomplete.
On the surface, the app reviews that mention Fable or Mythos looks like a straightforward negative reaction. Analyzing the review text tells a richer story.
Sentiment Revealed Something More Complicated
Comparing the ratings with Appbot's sentiment analysis produced one of the most interesting findings in the dataset.
Among the 64 Fable app reviews the star rating and sentiment breakdown was:
What's striking is that while 37.6% of reviews carried a four- or five-star rating, only 15.6% were classified as genuinely positive.
The reason becomes obvious once you start reading the reviews themselves. Many users were expressing two reactions at the same time. They praised Fable's capabilities, sometimes describing it as the most capable model they had used, while also expressing disappointment that it was no longer available. Others described the model in glowing terms but focused most of their review on the experience of losing access to it.
One of the clearest examples came from several five-star reviews that were classified as mixed rather than positive. The rating suggested approval, but the review text revealed something more complicated. These users weren't simply celebrating the model. They were expressing frustration, disappointment, or concern about losing access to something they valued.
A five-star rating and a positive review are not always the same thing. Users can be highly satisfied with a product while simultaneously being unhappy about changes to its availability, pricing, access, or future. That's exactly the kind of nuance that disappears when feedback is reduced to an average rating.
Emotion Analysis Explained Why
Sentiment tells us whether a review is broadly positive or negative. Analyzing the emotion of the app review text helps explain what's driving the sentiment.
Across the Fable reviews, frustration and disappointment appeared frequently, particularly among users who upgraded specifically to access the model and then lost access shortly afterward. But those emotions rarely appeared in isolation. They often sat alongside appreciation, admiration, and even enthusiasm for the model itself.
That's what makes this dataset unusual. Many users weren't frustrated because they disliked Fable. They were frustrated because they liked it.
A traditional analysis might simply classify these reviews as negative and move on. Looking at the emotions behind them reveals a different story. Some of the strongest negative reactions were attached to some of the strongest praise. Users weren't simply saying that the experience was bad. Many were effectively saying that the experience was excellent and that losing it was disappointing.
That distinction matters. The emotional context changes how the feedback should be interpreted.
Topics Explained What Users Were Reacting To
Once we understood how users felt, the next question was what they were actually reacting to.
Using Appbot's topic analysis, the most common themes within the Fable review set centered around pricing, subscriptions, payments, account access, and availability. Those topics appeared far more frequently than discussions about model quality, hallucinations, or accuracy.
The dominant conversation wasn't about whether Fable was good or bad. Instead, it was about access.
Many reviewers referenced upgrading specifically to use Fable shortly before it became unavailable. Others discussed subscriptions, account access, regional restrictions, or payment-related concerns. While there were certainly discussions about the model itself, the dominant topics suggest that users were often reacting to access and availability rather than evaluating the model's capabilities in isolation.
Topic analysis doesn't tell us how users felt about those issues. It tells us what they were talking about. Combined with sentiment and emotion analysis, it becomes much easier to understand the context surrounding the reaction.
Comparing the broader review dataset of both iOS and android app reviews for the selected period also revealed notable differences between platforms.Sentiment distribution across all 15,514 Claude app reviews between 13 May - 13 June 2026
Google Play reviews during the period skewed more positive overall, while iOS reviews skewed more negative. The average rating during the period was 3.8 stars on Google Play compared to 3.1 stars on the App Store. The sentiment analysis told a similar story, with Android achieving an overall sentiment score of 77, compared to 62 for iOS.
Same product. Same event. Different audiences.
It's a useful reminder that aggregate metrics often hide meaningful differences in how users experience and discuss a product. Looking at platform-level feedback separately can uncover patterns that disappear when everything is averaged together.
In this case, Android users were both more positive in their written feedback and more generous with their ratings, while iOS users were substantially more critical. The result was a meaningful gap across both key measures of customer satisfaction: a 15-point difference in sentiment score and a 0.7-star difference in average rating between the two platforms during the same period.
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Claire is the Co-founder & Co-CEO of Appbot. Claire has been a product manager and marketer of digital products, from mobile apps to e-commerce sites and SaaS products for the past 15 years. She's led marketing teams to build multi-million dollar revenues and is passionate about growth and conversion optimization. Claire loves to work directly with the world's top app companies delivering tools to help them improve their apps. You can connect with her on LinkedIn.
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