This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Claude Fable 5: a Mythos-class1 model
Anthropic's most capable model, now available to everyone
Claude Fable 5 is Anthropic's first Mythos-class model available to the public. Instead of refusing risky queries, it routes them to Opus 4.8 through safety classifiers, triggering in less than 5% of sessions. Stripe used it to migrate 50M lines of Ruby in a day. API: claude-fable-5 at $10/M input, $50/M output. Free on Pro/Max/Team plans through June 22.
Anthropic just made their most powerful model available to the public for the first time. What it is: Claude Fable 5 is a Mythos-class model, the same tier of AI that was locked behind Project Glasswing since April and only accessible to cybersecurity partners like Apple, Google, Microsoft, and JPMorgan. Fable 5 is the public version with safety classifiers layered on top.
What makes it different: Most model launches are either locked down with hard refusals or released wide open. Fable 5 does something new. When you hit a sensitive area like cybersecurity, biology, chemistry, or model distillation, your query quietly routes to Opus 4.8 instead. You still get a response, just from a slightly less capable model. No walls. This triggers in less than 5% of sessions.
What it can actually do:
Stripe used it to migrate 50 million lines of Ruby in a single day. That's a two-month team project compressed into hours
Scores highest among frontier models on Cognition's FrontierCode eval, even at medium effort
Beat Pokémon FireRed using only raw screenshots with zero helper tools
Top scores on Hebbia's finance benchmark for document reasoning, chart interpretation, and problem solving
The unrestricted Mythos 5 version accelerated drug design by 10x and autonomously conducted genomics research that outperformed a model published in Science
Who it's for: Developers building on the API (model string: claude-fable-5, $10/M input, $50/M output). Pro, Max, and Team subscribers get free access through June 22 before it moves to usage credits. Cybersecurity and biomedical teams can apply for the trusted access program to get full Mythos 5 without classifiers.
The key thing here isn't just the benchmarks. It's that the gap between Fable 5 and everything else gets wider the harder and longer the task is. That's a fundamentally different scaling behavior than what we've seen from previous models.
No comment highlights available yet. Please check back later!
About Claude Fable 5: a Mythos-class1 model on Product Hunt
“Anthropic's most capable model, now available to everyone”
Claude Fable 5: a Mythos-class1 model was submitted on Product Hunt and earned 21 upvotes and 1 comments, placing #28 on the daily leaderboard. Claude Fable 5 is Anthropic's first Mythos-class model available to the public. Instead of refusing risky queries, it routes them to Opus 4.8 through safety classifiers, triggering in less than 5% of sessions. Stripe used it to migrate 50M lines of Ruby in a day. API: claude-fable-5 at $10/M input, $50/M output. Free on Pro/Max/Team plans through June 22.
Claude Fable 5: a Mythos-class1 model was featured in Productivity (653.5k followers) and Artificial Intelligence (470.6k followers) on Product Hunt. Together, these topics include over 237.3k products, making this a competitive space to launch in.
Who hunted Claude Fable 5: a Mythos-class1 model?
Claude Fable 5: a Mythos-class1 model was hunted by Sidra Arif. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Claude Fable 5: a Mythos-class1 model stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Anthropic just made their most powerful model available to the public for the first time.
What it is: Claude Fable 5 is a Mythos-class model, the same tier of AI that was locked behind Project Glasswing since April and only accessible to cybersecurity partners like Apple, Google, Microsoft, and JPMorgan. Fable 5 is the public version with safety classifiers layered on top.
What makes it different: Most model launches are either locked down with hard refusals or released wide open. Fable 5 does something new. When you hit a sensitive area like cybersecurity, biology, chemistry, or model distillation, your query quietly routes to Opus 4.8 instead. You still get a response, just from a slightly less capable model. No walls. This triggers in less than 5% of sessions.
What it can actually do:
Stripe used it to migrate 50 million lines of Ruby in a single day. That's a two-month team project compressed into hours
Scores highest among frontier models on Cognition's FrontierCode eval, even at medium effort
Beat Pokémon FireRed using only raw screenshots with zero helper tools
Top scores on Hebbia's finance benchmark for document reasoning, chart interpretation, and problem solving
The unrestricted Mythos 5 version accelerated drug design by 10x and autonomously conducted genomics research that outperformed a model published in Science
Who it's for: Developers building on the API (model string: claude-fable-5, $10/M input, $50/M output). Pro, Max, and Team subscribers get free access through June 22 before it moves to usage credits. Cybersecurity and biomedical teams can apply for the trusted access program to get full Mythos 5 without classifiers.
The key thing here isn't just the benchmarks. It's that the gap between Fable 5 and everything else gets wider the harder and longer the task is. That's a fundamentally different scaling behavior than what we've seen from previous models.