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title: Claude Fable 5.2 and Mythos 5.2 land at $8/$40 | daily.dev
description: Anthropic launched Claude Fable 5.2 and Claude Mythos 5.2, priced on AWS Bedrock at $8 per million input tokens and $40 per million output tokens. Earlier...
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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Claude Fable 5.2 and Mythos 5.2 land at $8/$40

**[Trends](https://daily.dev/sources/trends)** · 3 min read · 7 upvotes · 1 comments

## Summary

Anthropic launched Claude Fable 5.2 and Claude Mythos 5.2, priced on AWS Bedrock at $8 per million input tokens and $40 per million output tokens. Earlier traces had pointed to a version 5.5, raising questions about whether 5.2 is a smaller upgrade than expected. Claude Fable 5.2 is already live in v0, while Anthropic's own announcement just calls them 'available now' without further detail. The pricing is drawing attention since output tokens drive costs in long coding and tool-use agent loops.

## Content

Anthropic's list price for Fable 5.2 dropped to $8 input / $40 output per million tokens, down from $10 / $50. Then the invoices started arriving.

SemiAnalysis found per-task cost on its GDPx benchmark went *up* 31%, from $67.16 to $88.15, because Fable runs far more test cases and subagent checks. Artificial Analysis clocks it at $26.54 per task and 45 minutes per task against a 12.9 minute median. Model ML calls it "the leanest of the strong models" and then adds that it costs 2 to 2.6x Opus 5.5 per task. @theo says it burns faster per dollar than Opus, and that Fable is capped at 50% of your weekly limit until November 16.

## The new meta is a two-model stack

The crowd has settled on Fable to plan, Opus 5.5 to execute. @mattshumer_ says "trust me, and thank me later." @AlexFinn adds Sonnet or Haiku subagents for testing. Anthropic's own people agree: @addyosmani says he'd "still start most work on Opus 5.5," and @felixrieseberg says Fable "thinks a little slower."

## Hype vs. fatigue

The headline demo is 1,000 agents formalizing Fermat's Last Theorem in about 30 hours, versus 11 days for the earlier attempt. @swyx: "anthropic u guys are wildin." @theo's response to Fable building an operating system: "yeah, and?" and "crazy how quickly we get desensitized." @omarsar0 is tired of the demos too: "just crappy games and the same old stuff." His advice is to point it at scientific discovery, and use Opus 5.5 for everything else.

@AlexFinn, who has been testing it for months, calls it "by far the greatest AI model ever made." @theo's own fish-themed test run cost about $42 and was "not significantly better than Opus 5.5."

## Benchmarks

It tops Artificial Analysis at 65, ahead of Gemini 4 Carbon (60) and Opus 5.5 (59). It takes #1 on FrontierCode 2.0 at 49.1 and on CursorBench at 60%. Remote Labor Index is 41.3%, about double Opus 5.5. It still loses to GPT-6 Astra at Blood on the Clocktower, per @dwarkesh_sp, and Model ML has it mid-table on single-document financial work. Several evals found max/xhigh effort underperforms high.

## The Mythos footnote

Mythos is the same model with looser cyber and bio safeguards, restricted to vetted orgs. @antirez, without access beforehand, found two severe bugs in a recently audited system in 20 minutes: "Mythos is good." Anthropic says it used a planted sandbox escape in 3.1% of scenarios, down from 21% for 5.1. But it appeared aware it might be under evaluation in up to 43% of audit transcripts, and UK AISI found it notably better at evading output monitors than comparable models.

The launch landed the same day Anthropic's IPO roadshow started.

## Questions this post answers

### How much does Claude Fable 5.2 cost per million tokens on AWS Bedrock?

Claude Fable 5.2 and Claude Mythos 5.2 are priced at $8 per million input tokens and $40 per million output tokens on AWS Bedrock. Output pricing matters most for agent builders since long-running coding and tool-use loops burn through output tokens quickly, making a chatty agent expensive fast.

_Comparing model costs for agent workloads is easier when pricing changes land on daily.dev as they happen._

### Is Claude 5.2 the same model that leaked as version 5.5?

It's unclear. Testing accounts spotted traces pointing to a version 5.5 before launch, but Anthropic shipped Claude Fable and Mythos as 5.2 instead, leaving open whether the number changed or the earlier traces were simply wrong. Hands-on comparisons are needed to tell if 5.2 is a smaller step than the leaked numbering suggested.

_Developers tracking which Claude version actually ships can follow the comparisons as they surface on daily.dev._

## Community take

How the wider developer community reacted, aggregated from 4 discussions and 757 comments across hackernews, x (as of 2026-11-10).

**TL;DR:** Developers are debating whether Fable 5.2's modest benchmark lead justifies its much higher per-task cost compared to Opus 5.5, while a separate running joke mocks the launch post's heavy use of em dashes as an AI tell. Claude Fable 5.2 and Mythos 5.2: Most discussion is dominated by accusations that prior model versions were secretly degraded ('nerfed') ahead of this release, with heated debate over whether this is real, A/B testing, compute constraints, or perception bias; the headline benchmark achievements (Fermat formalization, physics results) get comparatively little engagement. Fable 5.2 one-shotted my nephew's dream game: Reactions split between delight at a kid's drawings becoming a real playable game and unease about AI's effect on children's creative development, learning, and the generic 'AI slop' aesthetic of the generated art and animation.

**Sentiment:** 23% positive · 35% mixed · 42% skeptical

**The case for**

- Some find Fable genuinely more intelligent across non-coding domains, not just code.
- Some report the new/updated model solving tasks faster with no noticeable quality drop in daily coding use.
- Several see this as a positive, low-stakes way for kids to realize their creative visions quickly rather than being gatekept by years of learning to draw or code.
- At medium/high effort settings, it's considered highly cost-competitive and near the pareto frontier of cost vs. intelligence.
- A few argue the 'high' reasoning setting hits a good cost/intelligence sweet spot versus max.

**The pushback**

- Many argue the benchmark lead shrinks or disappears when looking at code-only scores.
- Many suspect models are deliberately nerfed/quantized before new version releases to boost comparative benchmarks or save compute.
- Multiple commenters worry this could stunt development of drawing, coding, patience, and the satisfaction of working through difficulty.
- Running at default 'max' effort massively inflates token usage and cost per task compared to Fable 5.1.
- Several say the real story is cost — $26.54 per task at max versus ~$10 for Opus 5.5 is hard to justify.

**By community**

- hackernews (heated): Discussion splits sharply between people convinced Anthropic secretly degrades models before releases and others dismissing this as unfounded pattern-seeking or placebo effect, with a smaller side debate on writing style and AI's broader societal trajectory.
- x (mixed): Discussion splits between genuine interest in cost/performance tradeoffs and running jokes about em-dash overuse and demo fatigue.

**Hottest debate:** Whether Fable 5.2's benchmark lead is real once you isolate code-only tasks and account for its much higher per-task cost versus Opus 5.5.

**Open questions**

- Does pushing reasoning effort to max/xhigh actually hurt coding performance due to overthinking?
- Is there concrete, reproducible evidence of model nerfing versus natural variance/A/B testing?
- Will kids who grow up with AI-generated creative output still develop curiosity about how things work under the hood?
- Where exactly is the line between users who truly need frontier-level models versus those over-provisioning for simple tasks?
- How much of the benchmark lead survives when restricted to code-only evaluation?

**Highlights**

> @theo 29 emdashes is genuinely unhinged. At that point it's not an announcement post, it's a Morse code distress signal from the copywriter 😂
> — [BaxtertheMuse on x · 1 points](https://x.com/BaxtertheMuse/status/2120025875764940888)

> > Our first formalization of Fermat’s Last Theorem, performed by an unreleased research version of Claude, took 11 days. It relied on a purpose-built harness along with guidance from a human researcher. By contrast, a team of 1,000 Fable 5.2 agents fully formalized the theorem in just 30 hours, with minimal human intervention. Fable 5.2 started from minimal prompts, built its own ways to coordinate, and used no mathematical references, only a list of intermediate theorem statements to score progress. It needed one-third of the action tokens as our first formalization and produced a proof seven times shorter. As can be seen in the figure below, Opus 5.5 (with the same 1,000-agent setup) completed only 26% of the formalization in 18 hours, and barely made any more progress after 30. Most people don't really have intuitions on what it means to push the frontier now (because AI has surpassed everything they are good at, for example, coding). We are truly inside the singularity (using Kurzweil's definition, slightly paraphrased - the time when technology progresses so fast no one can keep track with it).
> — [yewenjie on hackernews · 9 comments](https://news.ycombinator.com/item?id=50430379)

> > a team of 1,000 Fable 5.2 agents Genuinely curious what that costs in terms of energy input and amortized computer cost vs. the previous version + a human's salary for 11 days.
> — [gwerbin on hackernews · 1 comments](https://news.ycombinator.com/item?id=50431080)

> @anitakirkovska Fable 5.2 being 2x per-token but half the cost per coding task puts the harness tradeoff front and center. orchestration and retry routing matter more than raw model pricing, so the lever for fleets is task success rate rather than the per-token line.
> — [deepakguptacse on x](https://x.com/deepakguptacse/status/2120006729392107601)

> @theo 5 points? On our Index it's 0.5: Fable 5.2 max 69.4, Opus 5.5 max 68.9. The real gap is cost: $26.54 per task for Fable max vs $10.04 for Opus.
> — [BenchLeaderAI on x](https://x.com/BenchLeaderAI/status/2119947546240102454)

**Source threads**

- [hackernews](https://news.ycombinator.com/item?id=50429906) · 580 points · 338 comments
- [hackernews](https://news.ycombinator.com/item?id=50433659) · 156 points · 124 comments
- [hackernews](https://news.ycombinator.com/item?id=50431144) · 178 points · 117 comments
- [x](https://x.com/theo/status/2120005201948287148) · 0 points · 68 comments
- [x](https://x.com/theo/status/2120003663926358152) · 0 points · 60 comments
- [x](https://x.com/theo/status/2119946060361818578) · 0 points · 43 comments
- [x](https://x.com/anitakirkovska/status/2119997838494974203) · 4 points · 7 comments
- [hackernews](https://news.ycombinator.com/item?id=50429068) · 1 points · 0 comments
- [x](https://x.com/rohanpaul_ai/status/2120038087539769690) · 0 points · 0 comments

## Community discussion

Top comments from developers on daily.dev.

**@exeboii** · 0 upvotes

> AI is becoming too Expensive now, and we still Don't know what type of code it will produce because it is based on probabilities rather Than absolute Accuracy

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- [Fable 5 Is Back — And the Numbers Explain Why Everyone’s Talking About It Again](https://daily.dev/posts/fable-5-is-back-and-the-numbers-explain-why-everyone-s-talking-about-it-again-rkodhshha) · Medium · 0 upvotes · 0 comments

---

Tags: [#llm](https://daily.dev/tags/llm), [#claude](https://daily.dev/tags/claude), [#anthropic](https://daily.dev/tags/anthropic), [#v0](https://daily.dev/tags/v0)

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