Introducing Claude Fable 5 and Claude Mythos 5: Capabilities, API Changes, and Availability
What Are Claude Fable 5 and Claude Mythos 5?
Anthropic's fifth-generation model family consists of two variants that share the same underlying neural network but differ in how their safety guardrails are applied.
✅ Claude Fable 5 — Public
- Mythos-class capabilities
- Safety classifiers active
- Available on Claude API, AWS, Bedrock, Vertex AI, Azure
- $10/M input · $50/M output tokens
- Pro, Max, Team, Enterprise plans
🔒 Claude Mythos 5 — Restricted
- Same base model as Fable 5
- Classifiers lifted in key areas
- Project Glasswing partners only
- US government collaboration
- Strongest cybersecurity AI in the world
The key distinction: Claude Fable 5 includes safety classifiers that block high-risk queries, falling back to Claude Opus 4.8 when triggered. Claude Mythos 5, deployed through Project Glasswing, removes those restrictions in areas like cybersecurity — making it powerful enough to both identify and defend against sophisticated software vulnerabilities.
Claude Fable 5 is the model you can use today via the API or claude.ai. Claude Mythos 5 is the same model without safety filters, available only to vetted cyberdefense partners. Both cost $10 per million input tokens and $50 per million output tokens.
Benchmark Performance: How Fable 5 Compares
Numbers tell the clearest story here. Fable 5 doesn't just edge out competitors — it wins by a margin wide enough to matter in real work.
| Benchmark | Claude Fable 5 | Claude Opus 4.8 | GPT-5.5 | Gemini 3.1 Pro |
|---|---|---|---|---|
| SWE-Bench Pro | 80.3% | 69.2% | 58.6% | 54.2% |
| FrontierCode | 29.3% | 13.4% | — | — |
| Finance Benchmark (Hebbia) | Highest | Below Fable 5 | — | — |
| Vision & Code Rebuilding | State-of-art | Below Fable 5 | — | — |
On Cognition's FrontierCode evaluation — which tests whether AI can pass demanding coding tasks while meeting the standards of production codebases — Fable 5 scores highest among all frontier models, even at medium effort settings. That 29.3% versus Opus 4.8's 13.4% is not a narrow gap.
Key Capabilities Breakdown
Software Engineering
This is where Fable 5 makes the most striking impression. Stripe ran a real-world test: migrating a 50-million-line Ruby codebase. With Fable 5, the migration was done in a day. Without it, the same task would take a whole team more than two months.
The model also demonstrated superior token efficiency — doing more with less output, which matters enormously in production agentic workflows. Cursor's CEO called Fable 5 "state of the art" and said it "opened up a class of long-horizon problems that were out of reach for earlier models."
Vision Capabilities
Fable 5 handles vision tasks that earlier Claude models simply couldn't manage without heavy scaffolding. One notable example from Anthropic: earlier Claude models required complex helper tools to play Pokémon FireRed at all. Fable 5 completed the game using only raw game screenshots — no maps, no navigation aids, nothing beyond what a human player would see on screen.
The model can also extract precise numbers from dense scientific figures and rebuild a web app's source code from screenshots alone.
Knowledge Work and Finance
On Hebbia's Finance Benchmark — which tests senior-level analytical reasoning — Fable 5 achieved the highest score of any model tested. IMC, a trading firm, reported that Fable 5 "aced their trading-analysis evaluations nearly across the board," including factual lookup, root-cause analysis, and expected-value calculations.
Memory and Long-Context Performance
Fable 5 operates with a 1 million token context window by default and improves its outputs by taking and referencing its own notes during long tasks. In a test using the card game Slay the Spire, giving Fable 5 persistent file-based memory improved performance three times more than the equivalent setup did for Opus 4.8.
Life Sciences and Drug Design (Mythos 5)
Anthropic's internal protein design team used Mythos 5 to accelerate aspects of drug design by roughly ten times. In one experiment, Mythos 5 worked autonomously — choosing binding sites, selecting tools, and recovering from failures — on 14 protein targets. Nine of the 14 yielded strong candidates that the team is currently investigating.
— Sean Ward, CEO, Imbue (early access partner)
Safety Classifiers: What Developers Need to Know
This is the most important change for developers integrating Fable 5 into production systems. The model includes safety classifiers that can refuse requests, and when they fire, the API behavior is different from what you may be used to.
-
1Refusals return HTTP 200, not an error
When Fable 5 declines a request, the Messages API returns
stop_reason: "refusal"as a successful response. It also reports which classifier triggered the block. You need to check for this in your response handling. -
2Server-side fallback is available
Pass the
fallbacksparameter in your API call and the server will automatically retry refused requests on Claude Opus 4.8 or another available model. This is currently in beta. -
3Client-side fallback via SDK middleware
SDK middleware is available for TypeScript, Python, Go, Java, and C# to handle retries on the client side, compatible with any platform.
-
4Classifiers fire in less than 5% of sessions on average
Anthropic tuned these conservatively, which means some harmless requests will occasionally be blocked. They are working to reduce false positives as more capable models arrive. An external bug bounty produced no universal jailbreaks across 1,000+ hours of testing.
High-risk areas that trigger the classifiers include cybersecurity, biology, chemistry, and distillation. When triggered in these areas, the model falls back to Claude Opus 4.8 rather than refusing entirely.
Availability and Pricing
Pricing
$10/M input tokens · $50/M output tokens. Less than half the cost of Claude Mythos Preview.
Context Window
1 million tokens by default, with up to 128,000 output tokens per request.
Platforms
Claude API, Claude Platform on AWS, Amazon Bedrock, Google Vertex AI, Microsoft Foundry.
API Model IDs
claude-fable-5 for Fable 5. claude-mythos-5 for Mythos 5 (Project Glasswing only).
For subscription plans, Anthropic is rolling out access in stages. From launch through June 22, 2026, Fable 5 is included in Pro, Max, Team, and seat-based Enterprise plans at no extra cost. After June 22, usage credits will be required. Anthropic says they aim to restore Fable 5 as a standard part of subscription plans as soon as capacity allows, and will communicate changes ahead of time.
Both Claude Fable 5 and Claude Mythos 5 carry 30-day data retention and are not available under zero data retention. Both are classified as Covered Models under Anthropic's model-specific data retention requirements.
Project Glasswing and Claude Mythos 5
Project Glasswing is Anthropic's initiative — developed in collaboration with the US government — to deploy Mythos-class AI to trusted cyberdefenders and critical infrastructure providers. Claude Mythos 5 is the latest upgrade deployed through this program, succeeding Claude Mythos Preview.
The program has already shown results: Project Glasswing partners used earlier Mythos models to help secure critically important software systems. Access to Mythos 5 is expanding from initial US government partners to hundreds of organizations across 15 countries, with a focus on infrastructure operators.
Anthropic has been clear that the dual-use nature of Mythos-level capabilities is exactly why public access is gated. The same skills that help a defender find vulnerabilities could assist an attacker exploiting them. That tension drives the Fable 5 vs. Mythos 5 distinction — same model, different guardrails.
Frequently Asked Questions
Claude Fable 5 is Anthropic's most capable publicly available AI model, launched on June 9, 2026. It is a Mythos-class model made safe for general use through safety classifiers. It excels at software engineering, vision, knowledge work, and scientific research.
Both models share the same underlying base model. Claude Fable 5 includes safety classifiers that block high-risk requests and is publicly available. Claude Mythos 5 has those classifiers lifted in areas like cybersecurity and is reserved for approved partners through Project Glasswing.
Both Claude Fable 5 and Mythos 5 are priced at $10 per million input tokens and $50 per million output tokens — less than half the price of Claude Mythos Preview.
Claude Fable 5 is generally available on the Claude API, Claude Platform on AWS, Amazon Bedrock, Vertex AI, and Microsoft Foundry. Pro, Max, Team, and Enterprise subscription users get access at no extra cost through June 22, 2026.
Project Glasswing is Anthropic's cybersecurity initiative run in collaboration with the US government. It provides access to Claude Mythos models to a trusted group of cyberdefenders and critical infrastructure operators.
On SWE-Bench Pro, Claude Fable 5 scores 80.3%, well ahead of Claude Opus 4.8 at 69.2%, GPT-5.5 at 58.6%, and Gemini 3.1 Pro at 54.2%. It also leads on Cognition's FrontierCode benchmark with a score of 29.3%, compared to 13.4% for Opus 4.8.
What This Means for the AI Landscape
Claude Fable 5 is a genuine step forward, not a minor revision. The 50-million-line codebase migration at Stripe is the kind of real-world result that reframes how developers think about what AI agents can do. The Pokémon example is fun, but what it demonstrates — autonomous operation over long tasks with minimal scaffolding — is what matters for production use.
Anthropic is also threading a difficult needle here. Mythos-level capabilities are real and dual-use. The company's approach — restrict the most dangerous configurations to vetted partners, release a safety-filtered version publicly — is a considered one. Whether the classifiers are calibrated right is something developers will discover quickly in practice.
For anyone building on Claude today, the transition to Fable 5 requires updating how you handle API responses. But the performance gains — especially on complex, long-horizon coding tasks — make that update worth planning for now rather than later.
0 Comments
Leave a Comment