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Review
June 9, 202610 min read

Claude Fable 5: Anthropic's Mythos-Class Model Goes Public

Fable 5 tops SWE-bench Verified at 95% and brings Mythos-level capabilities to all developers at $10/$50 per million tokens. We break down the benchmarks, safety architecture, pricing economics, and real-world deployment results from the official system card.

Overview

What Is Claude Fable 5?

Claude Fable 5 launched on June 9, 2026 as Anthropic's first public release of Mythos-class capabilities. Until now, the Mythos tier was restricted to Project Glasswing partners for defensive cybersecurity. Fable 5 makes those capabilities available to all developers through the standard Claude API, with safety mechanisms that Anthropic describes as sufficient for general deployment. It currently ranks #1 out of 320 coding models with a composite score of 97/100.

The core distinction between Fable 5 and its predecessor Mythos is the safety layer: Fable 5 wraps Mythos-class intelligence in a deployment-safe architecture that keeps safeguards triggering in fewer than 5% of sessions, while maintaining zero compliance on adversarial jailbreak attempts. Anthropic's framing is explicit - this is Mythos for everyone, with the guardrails to make that responsible.

#1
Rank
of 320 models
97
Score
/100
95%
SWE-bench Verified
state of the art
94.1%
GPQA Diamond
science reasoning
$10
Input Price
/M tokens
$50
Output Price
/M tokens
90%
Cache Discount
prompt caching
200K
Context
tokens
Benchmarks

Performance: The Numbers From the System Card

Fable 5's benchmark profile is the strongest Anthropic has ever published. The system card reports five headline results, each representing a new high-water mark for the Claude model family:

SWE-bench Verified
95.0%
Real GitHub bug fixes - the single most demanding coding eval
Opus 4.8: 80.8%GPT-5.5: ~72%Gemini 3.1 Pro: ~70%
GPQA Diamond
94.1%
PhD-level science questions across physics, chemistry, biology
Opus 4.8: 91.3%GPT-5.5: ~88%Gemini 3.1 Pro: ~86%
Humanity's Last Exam (HLE)
59.0%
Expert-level questions designed to be unsolvable by current AI
Opus 4.8: 40.0%GPT-5.5: ~35%Gemini 3.1 Pro: ~33%
SWE-bench Pro
80.3%
Harder variant with multi-file, multi-step engineering tasks
Opus 4.8: 53.4%GPT-5.5: ~48%Gemini 3.1 Pro: ~45%
Terminal-Bench
84.3%
End-to-end terminal command sequences and system administration
Opus 4.8: 65.4%GPT-5.5: ~60%Gemini 3.1 Pro: ~58%

The standout result is SWE-bench Verified at 95% - a 14-point jump over Opus 4.8. SWE-bench tasks require models to navigate real GitHub repositories, understand thousands of files, locate bugs, and produce working patches. A 95% pass rate means Fable 5 solves nearly every real-world coding task the benchmark throws at it.

The HLE score of 59% deserves special attention. Humanity's Last Exam was specifically designed to resist AI progress - questions sourced from domain experts intended to stump frontier models. Fable 5's 19-point lead over Opus 4.8 suggests a qualitative leap in reasoning depth, not just incremental improvement. See our benchmarks explorer for per-benchmark rankings across all models.

Source: Claude Fable 5 System Card, June 2026
Pricing

$10/$50 Per Million Tokens - Premium With a Cache Advantage

Fable 5 is priced at $10 per million input tokens and $50 per million output tokens. This is premium pricing - roughly 67% more than Opus 4.8 on output. But the economics shift dramatically with prompt caching: a 90% discount on cached input tokens means repeated context (system prompts, codebases, documentation) costs just $1/M tokens after the first call.

Single complex bug fix (50K in, 5K out)
$0.75
Without caching
100 bug fixes against same codebase (cached)
$25.50
90% cache discount on input
Full-day agentic coding session (500K in, 100K out)
$10.00
With prompt caching
Stripe-scale migration (50M lines)
Custom
Anthropic reports 1-day completion vs weeks manually

For teams doing agentic coding where the same codebase context is passed repeatedly, the effective cost drops significantly. The 90% prompt cache discount is the most aggressive Anthropic has offered and makes Fable 5 economically viable for high-volume use cases that would be prohibitive at list price. Compare pricing against all models on our pricing calculator or see the Anthropic API pricing breakdown.

Source: Anthropic pricing page, June 2026
Safety

How Anthropic Made Mythos Safe for Public Deployment

The central engineering challenge of Fable 5 was taking Mythos-class capabilities - including the cybersecurity skills that kept the original Mythos restricted - and making them safe for unrestricted API access. The system card details a multi-layered safety architecture:

Safeguard Trigger Rate: Under 5% of Sessions
Anthropic tested Fable 5 across thousands of real-world usage sessions. Safety interventions (refusals, redirections, content filtering) triggered in fewer than 5% of sessions. This means 95%+ of normal interactions proceed without any safety friction - the model does not over-refuse.
95% Self-Sufficient - Rarely Falls Back to Opus 4.8
Fable 5 handles 95% of requests without needing to route to a fallback model. In the remaining 5% of edge cases - typically involving requests at the boundary of safety policies - the system may route to Opus 4.8 for a more conservative response rather than refusing outright.
Zero Compliance on 30 Jailbreak Techniques
The red team tested 30 distinct jailbreak methodologies against Fable 5. The model achieved 0% compliance - meaning none of the tested attack vectors produced unsafe outputs. This includes prompt injection, role-play exploits, encoding tricks, and multi-turn manipulation sequences.
1,000+ Hours of Red Team Testing
Anthropic invested over 1,000 hours of dedicated red team effort, including external security researchers. This is the most extensive pre-deployment adversarial evaluation Anthropic has disclosed for any model.

The practical takeaway for developers: Fable 5 should behave like a capable, cooperative coding assistant in virtually all legitimate use cases. The safety layer is designed to be invisible during normal operation and only activates at the boundaries of Anthropic's usage policy. This contrasts with earlier Claude models where safety interventions were a more frequent friction point for developers.

Source: Claude Fable 5 System Card, Safety Evaluation Section
Real World

Production Results: Stripe, Hex, and Enterprise Deployments

Anthropic's system card includes real-world deployment results from enterprise partners. These are self-reported by Anthropic but provide concrete performance claims beyond synthetic benchmarks:

Stripe: 50 Million Line Codebase Migration in 1 Day
Stripe used Fable 5 to migrate a 50-million-line codebase - a task that would typically take a team of engineers weeks. The system card reports completion in a single day. This is the largest publicly disclosed AI-assisted code migration to date and demonstrates the model's ability to maintain coherence across massive codebases.
Hex: 90% of Data Analytics Queries Handled Autonomously
Hex, the data analytics platform, reports that Fable 5 handles 90% of user analytics queries without human intervention. The model writes SQL, generates visualizations, interprets results, and iterates on follow-up questions with high enough accuracy to operate as a first-line analyst.
Spreadsheet Tasks: 25-30% Faster Than Previous Models
Across structured data manipulation tasks (formula generation, data cleaning, pivot table creation, cross-sheet references), Fable 5 shows a 25-30% speed improvement over Opus 4.8. This reflects both faster inference and fewer retry loops due to higher first-attempt accuracy.

These case studies align with the benchmark data - a model that solves 95% of SWE-bench tasks should be capable of large-scale production engineering work. The Stripe result in particular suggests Fable 5 can handle the kind of marathon agentic sessions (thousands of sequential edits across thousands of files) that previously caused models to lose coherence.

Source: Claude Fable 5 System Card, Partner Results Section
Guidance

Who Should Use Fable 5 - and When to Stick With Opus 4.8

Fable 5 is not a universal replacement for Opus 4.8. Its premium pricing means you should be deliberate about when to deploy it. Here is the decision framework:

Choose Fable 5 When
Complex multi-file refactoring across large codebases
Agentic workflows requiring high first-attempt accuracy
Problems requiring deep reasoning (research, architecture decisions)
High-stakes code where correctness justifies premium cost
Tasks where prompt caching amortizes the input cost
Stick With Opus 4.8 When
High-volume, cost-sensitive tasks (chat, summarization, simple Q&A)
Tasks where Opus 4.8 already achieves sufficient accuracy
Prototyping and development where iteration speed matters more than perfection
Budget-constrained teams that cannot absorb the output price premium
Latency-sensitive applications where cheaper models respond faster

The optimal strategy for most teams will be a tiered approach: use Fable 5 for the hard problems where its superior reasoning justifies the cost, and route simpler tasks to Opus 4.8 or lighter models. Anthropic's own routing architecture (the 95%/5% fallback split) models this approach. Compare all Anthropic models on our Claude models page.

Rankings

Where Fable 5 Sits in the Live Leaderboard

Here are the current top 10 coding models, with Fable 5 highlighted. Rankings update hourly based on live benchmark data across SWE-bench, GPQA, HumanEval, MMLU, and 15+ evaluations.

Score bracket: 10 models score within 5 points of Fable 5, including Claude Opus 5 (Fast) (95), Claude Opus 5 (95), Claude Opus 4.8 (Fast) (95), and 7 others. Use our compare tool for head-to-head breakdowns.

Anthropic now has 21 models in our coding leaderboard. Here is the full Claude lineup ranked by score:

Comparison

Fable 5 vs Opus 4.8: The Generational Leap

Claude Fable 5
Score: 97/100
Rank: #1
SWE-bench Verified: 95.0%
GPQA Diamond: 94.1%
HLE: 59.0%
Price: $10/$50 per M tokens
Context: 200K tokens
Claude Opus 4.8
Score: 95/100
Rank: #4
SWE-bench Verified: 80.8%
GPQA Diamond: 91.3%
HLE: 40.0%
Price: $50.00/M output
Context: 1.0M tokens

The biggest relative gains are on the hardest benchmarks: SWE-bench Pro jumps from 53.4% to 80.3% (a 50% relative improvement), and HLE from 40.0% to 59.0% (a 48% jump). These are the evaluations designed to separate frontier models from their predecessors, and Fable 5 clears the bar decisively. For a detailed comparison, use our compare tool.

Summary

Bottom Line

Claude Fable 5 ranks #1 with a score of 97/100 - placing it at the top of the coding leaderboard.
SWE-bench Verified at 95% is the highest score any model has achieved on the most demanding real-world coding benchmark.
The safety architecture (zero jailbreak compliance, <5% trigger rate, 1,000+ red team hours) sets a new standard for responsible deployment of frontier capabilities.
At $10/$50 per M tokens with 90% prompt cache discount, Fable 5 is expensive at list price but competitive for high-volume agentic workloads with caching.
Real-world results (Stripe 50M-line migration, Hex 90% autonomous analytics) validate the benchmarks with production evidence.
Frequently Asked Questions

Claude Fable 5 is Anthropic's first public release of Mythos-class capabilities, launched on June 9, 2026. It achieves 95% on SWE-bench Verified (the highest score recorded) and brings frontier coding, reasoning, and safety capabilities to all developers via the standard Claude API at $10/$50 per million tokens.

Fable 5 significantly outperforms Opus 4.8 on every major benchmark: SWE-bench Verified jumps from 80.8% to 95%, GPQA Diamond from 91.3% to 94.1%, Humanity's Last Exam from 40% to 59%, and SWE-bench Pro from 53.4% to 80.3%. The output price is roughly 67% higher at $50/M tokens versus Opus 4.8, but 90% prompt cache discounts offset this for high-volume use.

According to Anthropic's system card, Fable 5 achieved zero compliance across 30 tested jailbreak techniques and underwent 1,000+ hours of red team testing. Safety interventions trigger in fewer than 5% of sessions, meaning the vast majority of legitimate coding interactions proceed without friction. The model handles 95% of requests without falling back to a more conservative model.

Fable 5 costs $10 per million input tokens and $50 per million output tokens. Prompt caching offers a 90% discount on cached inputs (dropping to $1/M), which makes it significantly cheaper for agentic coding workflows where the same codebase context is reused across many calls.

Anthropic's system card reports that Stripe used Fable 5 to migrate a 50-million-line codebase in one day, Hex achieves 90% autonomous handling of analytics queries, and structured data tasks see 25-30% speed improvements over Opus 4.8. These are self-reported by Anthropic from enterprise partner deployments.

Claude Fable 5: Anthropic's Mythos-Class Model Goes Public | LM Market Cap