Claude Fable 5.1 and Mythos 5.1: what changed and who can use them
Anthropic reports better results on complex tasks and lower charges for reused input. We explain those changes, the evidence and the restrictions on Mythos access.
By Monolith

Anthropic announced Claude Fable 5.1 and Claude Mythos 5.1 on September 1, 2026. They share the same underlying model with different safeguards. Fable is generally available; Mythos is limited to trusted access programs for cybersecurity and life sciences. That distinction is about permitted use and safeguards, not a smaller versus larger model.12
Where the update could matter to a small team
Imagine an agency that produces regular client reports. Each report uses the same brand guidance and reporting instructions, but new figures. There are two possible improvements to investigate: whether Claude produces a more dependable draft, and whether it costs less to reuse the material that stays the same.
Those are separate questions. A lower processing bill does not repair a weak report, and a better report may still require careful review. Keep a copy of the current result so the team can compare accuracy, editing time and usage cost after the update.
What improved from Fable 5
Anthropic says Fable 5.1 improves work such as coding, research and tasks with several steps. It also reports that some tasks can match the older model’s result with less reasoning effort. Reasoning effort is the amount of processing the model spends working through the problem.1
Think of a task that requires checking several documents before answering. More processing may help it compare the details, but it can also add time and cost. When trying the new model, keep the setting the same at first so you can judge the version change. The announced defaults differ by product: High in Claude Code, and Medium in Claude Cowork and Claude.ai.1
| Evaluation | Fable 5 | Fable 5.1 | Mythos 5.1 |
|---|---|---|---|
| Terminal-Bench-Science 0.1 | 24.7% | 52.6% | Not listed here |
| Terminal-Bench 4.0 | 42.0% | 55.8% | 60.9% |
| AutomationBench | 17.1% | 31.4% | Not listed here |
A benchmark result belongs to a particular test setup. Two published figures can differ because the model used different tools or instructions. That is why this article keeps the testing details with the scores.
| Detail | What it means |
|---|---|
| Anthropic science-test setup | Fable 5: 24.7%. |
| Public Claude Code leaderboard | Fable 5: 21.4%. |
| Reported uncertainty | 3.5 to 4.5 percentage points. Do not substitute one setup’s score into another comparison. |
AutomationBench asks the system to complete jobs involving several steps. The 31.4% score describes performance on that test’s tasks. It does not predict how much of your company’s work can be automated.
For a practical trial, choose a job such as preparing a report from known documents. Give the old and new versions the same material and ask for the same result. Check the facts and calculations before comparing how polished the writing sounds.
The cache price changed, not every part of the bill
| Token category | Fable 5 | Fable 5.1 |
|---|---|---|
| Input | $10.00 | $10.00 |
| Output | $50.00 | $50.00 |
| Cache read | $1.00 | $0.25 |
A cache stores eligible information so the service can reuse it. That can reduce the charge for repeatedly supplying the same reference material. Anthropic estimates about 25% total savings for typical token-billed work and up to about 45% for work involving many agent steps. Those are the company's estimates for particular usage patterns, not guaranteed savings for your account.1
A recurring report is a useful example: its standing instructions may stay the same while the weekly figures change. Ask your developer to check how much input is actually reused and compare the full bill. Include review time. Repeatedly reading cheap information is not valuable if the report still needs extensive corrections.
Caching is similar to keeping a prepared reference packet ready for the next task. The service can reuse eligible material instead of charging the normal input rate each time. This is a billing and processing feature, not a promise that the model permanently remembers your company.
The saving depends on how much of each request stays unchanged. A repeated set of instructions may benefit; a different collection of documents every time may benefit less. Ask your developer to check the actual reused input on the bill before applying the headline savings estimate to your budget.
More precise safeguards
Anthropic permits Fable 5.1 to help find software vulnerabilities, meaning weaknesses that could put a system at risk. It restricts developing exploits, which are methods of taking advantage of those weaknesses. Mythos has separate trusted-access requirements; it is not an ordinary subscription upgrade.1
Anthropic also announced Enterprise Frontier Safeguards, including customer-controlled storage and a phased rollout starting later in the fall. Eligible customers can use zero data retention in the interim. Those options should be checked against the actual service terms and account settings; an announcement does not mean every account already includes them.1
For client work, ask where supplied files are stored and which retention rules apply to the service you are using. The answer should concern that specific product and account, rather than the Claude name in general.
Which work deserves a trial
Try one software repair, a research task or a report based on approved documents. Run the same task with the previous version where available, and keep the same instructions and review criteria. Record restarts and corrections as well as completed work. The results in this article come from published sources, not Monolith's own tests.
For an agency brief, ask the reviewer to check whether the client facts are correct and whether the proposed direction follows the brief. For a business report, check the record selection and calculations. These checks reveal useful differences between models that a well-written final paragraph can hide.
Terms used in this article
| Term | Plain-language meaning |
|---|---|
| Token | A small unit of information counted by the model. Usage fees often depend on how many are read and generated. |
| Input / output | The information you send / the response the model generates. |
| Cached input | Eligible information stored for reuse, sometimes charged at a lower rate. |
| Benchmark | A defined test. Its score depends on the tasks, settings and supporting tools. |
| Context window | How much information fits into one request; it is not a guarantee of perfect recall. |
Are Fable 5.1 and Mythos 5.1 different-sized models?
How much cheaper are cache reads?
Can Fable 5.1 help find vulnerabilities?
Read for this feature. The numbers match the markers in the text.
- Anthropic Fable and Mythos 5.1 announcementanthropic.com
- Anthropic newsroomanthropic.com
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