Claude Fable 5 (Anthropic)
Status (2026-06-16): Very new — released 2026-06-09, one week old at time of writing. Core specs (model ID, pricing, context, safeguards) are confirmed from Anthropic's own announcement + API docs. Several capability claims are first-party or third-party and are flagged inline. Numbers in this article are quoted, not invented — where a figure is missing or contested, it says so.
What it is
Claude Fable 5 (model id claude-fable-5) is Anthropic's most capable publicly available model as of June 2026. It is the first generally-released member of Anthropic's new top capability tier, internally called the Mythos class — a tier above the Opus class.
There are two models in the launch, sharing the same weights/capabilities:
| Model | API model ID | Who gets it |
|---|---|---|
| Claude Fable 5 | claude-fable-5 | Generally available. Ships with safety classifiers that can refuse requests. |
| Claude Mythos 5 | claude-mythos-5 | Limited release only, via Project Glasswing (approved enterprise / select biology researchers). No safety classifiers. Successor to Claude Mythos Preview. |
The key framing from Anthropic: Fable 5 is Mythos 5, but made safe for the public by bolting on refusal classifiers in high-risk domains. Where Fable refuses, the request falls back to Claude Opus 4.8 to produce a safe answer. So Fable 5 is best understood as "Mythos-class intelligence behind a safety gate, with Opus 4.8 as the fallback responder."
This sits alongside — not replacing — the existing Claude 4.X family (Opus 4.8, plus Sonnet / Haiku at the 4.x generation). Opus/Sonnet/Haiku Messages-API behaviour is explicitly unchanged; the new behaviours below are Fable/Mythos-only.
Why it matters
- A new capability tier went public. Anthropic had been signalling that its most powerful models were too dangerous to release broadly; Fable 5 is the compromise — Mythos-class capability shipped to everyone, gated by classifiers. TechCrunch framed the release as coming "days after warning AI is getting too dangerous."
- It topped independent rankings on day one. Per Artificial Analysis (analysis dated 2026-06-10), Fable 5 launched at #1 on the Intelligence Index with a score of 64.9, ~5 points ahead of the closest non-Anthropic model (GPT-5.5), and set the highest score on 5 of the 10 underlying benchmarks. (See caveats — this is one aggregator's methodology, one day after launch.)
- It's built for long-horizon agentic work. Anthropic positions it for "large migrations, complex implementations, and multi-day autonomous sessions" — exactly the agentic-RL / long-horizon coding regime. Relevant to OpenAlice's autonomous repo→PR ambitions.
- It introduced a refusal-as-success API contract. Refusals return
stop_reason: "refusal"as an HTTP 200, not an error, with server-side / client-side / manual fallback paths and "fallback credit" billing. This is a real integration change, not just a bigger model — see model routing.
Capabilities & positioning (confirmed specs)
Shared specs (Fable 5 == Mythos 5):
- Context window: 1M tokens (default).
- Max output: up to 128k tokens per request.
- Pricing: $10 / M input tokens, $50 / M output tokens. 90% input-token discount with prompt caching. (Anthropic notes this is "less than half the price of Claude Mythos Preview"; TechCrunch notes it is roughly double Opus 4.8's rate.)
- Data retention: 30-day retention, no zero-data-retention option — both are designated "Covered Models."
- Thinking: Adaptive thinking is always on — it's the only mode;
thinking: {"type":"disabled"}is unsupported. Depth is controlled via the effort parameter (cf. test-time compute & reasoning). - Raw chain-of-thought is never returned — only
"summarized"or"omitted"(default) thinking blocks. - Supported at launch: effort, task budgets (beta), the memory tool, code execution, programmatic tool calling, context editing / tool-result clearing (beta), compaction, vision.
Safeguards / fallback architecture (Fable 5 only): Three classifier domains can decline a request, falling back to Opus 4.8:
- Cybersecurity (exploitation / offensive tasks)
- Biology / chemistry (e.g. bioweapon, toxin synthesis)
- Distillation (attempts to extract the model's capabilities — cf. distillation)
Anthropic states >95% of Fable sessions involve no fallback at all, and that a 1,000+ hour external bug-bounty found no universal jailbreak (though the UK AI Security Institute reportedly "made progress toward one" in early testing). See AI safety, jailbreaks & red-teaming.
Benchmark claims (attribution matters — read the caveats):
- Anthropic (first-party): state-of-the-art on "nearly all tested benchmarks"; first to break 90% on Anthropic's core analytics benchmark ("a 10-point jump over Opus"); highest score among frontier models on Cognition's FrontierCode and Hebbia's finance benchmark.
- Artificial Analysis (third-party, 2026-06-10): Intelligence Index 64.9 (#1); AA-Omniscience 40; Humanity's Last Exam 53% (>7 pts ahead of next-best); GDPval-AA Elo 1932.
- Press / vendor blogs (lower confidence): SWE-bench Verified ~95.0%; SWE-bench Pro 80.3% (vs Opus 4.8 69.2%, GPT-5.5 58.6%, Gemini 3.1 Pro 54.2%). At least one outlet (TechJack) reports the SWE-bench Pro figure is contested — treat it as unverified.
Honest caveats & unknowns
- It's ~1 week old. Most numbers are from launch-window first-party material or single third-party aggregators. Expect revisions; independent replications are thin.
- SWE-bench Pro 80.3% is disputed. Quoted from vendor/news blogs and explicitly flagged as "contested" by at least one independent write-up. Do not cite it as settled.
- It was temporarily pulled offline. Within ~3 days of launch, a U.S. government export directive temporarily forced Fable 5 offline after Amazon's security team flagged a jailbreak vulnerability to the White House. White House AI adviser David Sacks suggested the block could be lifted once Anthropic remediates the safety issue. As of the sources read (mid-June 2026), no confirmed reinstatement date — current live availability is uncertain and should be re-verified before relying on the API.
- No public architecture / parameter / training details. Mythos-class internals (size, training recipe, knowledge cutoff) are not disclosed in the read sources. The API docs do not state a knowledge cutoff for Fable/Mythos 5.
- Anthropic's own benchmark table referenced in the announcement was not fully itemized in the page text we could fetch — granular per-benchmark first-party scores beyond the analytics/HLE/coding headlines were not captured.
- "Mythos" vs "Mythos Preview" — Mythos 5 supersedes an earlier "Mythos Preview." The exact lineage/timeline of the preview is not detailed here.
How it connects to OpenAlice
- Alice harness / sub-agent providers today are NOT Anthropic Fable. Per shared memory, OpenAlice's default provider is Codex OAuth, default model `gpt-5.5` on
mvp(prod stillgpt-5.4), with the gpt-5.x family + Lyria-3 for music. So Fable 5 is not currently wired as Alice's primary brain. - However, this very sub-agent runs on Claude (Opus 4.8 / Sonnet via Claude Code) for the orchestration/research/coding layer — the deep-research + delegate pattern. Fable 5's profile (1M context, always-on adaptive thinking, multi-day agentic sessions, programmatic tool calling, memory tool) maps directly onto that delegation substrate, and onto OpenAlice's stated goal that autonomous repo→PR coding is a base AGI capability of Alice (measured via SWE-bench).
- If/when OpenAlice evaluates Fable 5, the integration cost is non-trivial and worth flagging up front: - Refusal handling:
stop_reason:"refusal"arrives as HTTP 200 — any client that treats non-text completions as errors will mis-handle it. Plan the fallback path (→ Opus 4.8 or a non-Anthropic model) explicitly. Connects to model routing & cost-optimal serving. - Cost: at $10/$50 per M, Fable is roughly 2× Opus 4.8 — fine for hard, sparse, long-horizon tasks (migrations, multi-file RCA), wasteful for routine turns. A cost-ladder / router that reserves Fable for the top rung fits OpenAlice's existing cost-ladder research rig. - Data retention: the mandatory 30-day, no-ZDR "Covered Model" status conflicts with any zero-retention posture — relevant to OpenAlice's GDPR-compatible data-handling bar. - Until live availability re-stabilizes (see the export-directive caveat), treat Fable 5 as a candidate upgrade for the hardest agentic-coding tier, not a drop-in — and verify the API is actually serving before planning around it.
See also
- model-routing.md — fallback chains, cost-optimal serving (directly relevant to Fable's refusal→Opus fallback)
- agentic-rl-long-horizon-coding.md — the multi-day autonomous regime Fable targets
- test-time-compute-reasoning.md — adaptive thinking / effort parameter context
- ai-safety-and-jailbreaks.md — classifier safeguards, jailbreak red-teaming
- distillation.md — the anti-distillation classifier
- tool-use-function-calling.md · mcp.md — the tool/agent substrate Fable plugs into
- agent-evaluation.md · llm-evaluation.md — how to read the contested benchmark claims
- long-context.md — the 1M-token context window