← All models

Claude Fable 5

The most demanding reasoning and long-horizon agentic work.

What are Claude Fable 5's specs and price?

Claude Fable 5, built by Anthropic, ships a 1M-token context window and a 128K-token max output, released 2026-05. It supports text and vision input with a dedicated reasoning mode and costs $20.00 per million blended tokens, the 38th-cheapest of 39 models we track.

Verified 2026-08-14 source

Batch 42 evidence surface · verified 2026-08-27 · exact route allowlist: /models/claude-fable-5

Fable 5 refusal, fallback settlement, and long-horizon evidence

Batch 42 · M1: Refusal wire-and-settlement ledger

Formula: Accepted = expected refusal/content classification ∨ accepted content check, with exact usage and charge state; HTTP 200 is not task success.

Provenance: Frozen allowed, boundary, declined, malformed, and retried requests with HTTP/stop/refusal/content-block, exposed classifier, usage, charge, acceptance, and retry fields. Verified 2026-08-27.

First-party source: Anthropic Claude Fable 5 model documentation

Field ID / fixtureFrozen inputsObservationDecision boundaryState
batch42-claude-fable-5-m1-r1
Allowed request
allowed prompt; Fable 5 exact ID; expected content; usage schema; fable5-r1HTTP status, content acceptance, stop reason, and charge are Unavailable — wire export is absentHTTP success does not mean an accepted answer.Unavailable — wire export is absent
batch42-claude-fable-5-m1-r2
Boundary and declined request
boundary prompt; declined prompt; refusal/content block; classifier only if exposedRefusal classification and unexposed classifier reason are Unavailable — first-party refusal fields are absentUnexposed safety state remains Unavailable.Unavailable — first-party refusal fields are absent
batch42-claude-fable-5-m1-r3
Malformed and retried request
malformed request; retry=1; input/thinking/output/cache units; charge stateRetry action and duplicate charge are Unavailable — matched billing ledger is absentA retry is not free or successful without settlement evidence.Unavailable — matched billing ledger is absent

Batch 42 · M2: Fable-to-fallback state machine

Formula: Fallback accepted = original hash ∧ disclosed rule ∧ consent ∧ fallback identity ∧ separate usage/charge ∧ provenance check; otherwise Unavailable.

Provenance: Frozen consented fallback fixtures joining original/refusal/fallback identities, prompt transformation, tool-state transfer, separate settlement, answer provenance, and audit record. Verified 2026-08-27.

First-party source: Anthropic Claude Fable 5 model documentation

Field ID / fixtureFrozen inputsObservationDecision boundaryState
batch42-claude-fable-5-m2-r1
Consented fallback after refusal
original hash fable5-f1; disclosed rule; user consent; fallback model; transformed promptFallback identity, acceptance, provenance, and separate usage are Unavailable — matched fallback settlement is absentAn Opus answer cannot be relabelled as Fable output.Unavailable — matched fallback settlement is absent
batch42-claude-fable-5-m2-r2
Tool-state transfer
refused request with pending tool; transfer mapping; consent; tool schema; audit IDTransferred state and duplicated side effects are Unavailable — tool/audit ledger is absentTool state is not transferred merely because the prompt was copied.Unavailable — tool/audit ledger is absent
batch42-claude-fable-5-m2-r3
Fallback charge reconciliation
Fable refusal bill; fallback bill; separate invoice keys; final answer hashCombined charge and answer provenance are Unavailable — two-run invoice join is absentNo unavailable charge is rendered as zero or included.Unavailable — two-run invoice join is absent

Batch 42 · M3: Long-horizon refusal-and-resume canary

Formula: Resume pass = checkpoint/tool/result identity ∧ refusal boundary ∧ no duplicate side effect ∧ accepted completion; classifier safety and autonomy remain out of scope.

Provenance: Frozen 10/30/60-step code and research tasks with refusal injected before a tool, after side effect, after compaction, and at final synthesis; checkpoints, rollback, latency, usage, and bill are retained. Verified 2026-08-27.

First-party source: Anthropic Claude Fable 5 model documentation

Field ID / fixtureFrozen inputsObservationDecision boundaryState
batch42-claude-fable-5-m3-r1
10-step refusal before tool
10-step code task; refusal before tool 3; checkpoint; fallback boundary; fable5-l1Resume and accepted completion are Unavailable — checkpoint replay is absentNo autonomous reliability claim is made from one task.Unavailable — checkpoint replay is absent
batch42-claude-fable-5-m3-r2
30-step refusal after side effect
30-step research task; side effect at step 12; refusal; compensation/rollback recordDuplicated work, compensation, and final acceptance are Unavailable — side-effect ledger is absentRollback must be observed, not inferred from a refusal.Unavailable — side-effect ledger is absent
batch42-claude-fable-5-m3-r3
60-step compaction/final refusal
60-step task; compaction at 41; final-synthesis refusal; result/checkpoint IDs; billLong-horizon completion and exact bill are Unavailable — matched grader and usage are absentNo safety or long-horizon success rate is emitted without a denominator.Unavailable — matched grader and usage are absent

Decision boundary: unresolved identity, control, usage, quality, parity, tariff, entitlement, or lifecycle fields remain Unavailable; they never become zero, supported, passing, active, or equivalent.

Run a claude-fable-5 acceptance canary
Continuous SEO Builder · Batch 77Model owner: claude-fable-5Audit date: 2026-09-08

Claude Fable 5: Anthropic Most Capable Widely-Released Frontier Engine

Claude Fable 5 represents Anthropic’s most capable widely-released frontier architecture, combining a 1,000,000 token context window, 128K max output, and frontier-level extended thinking for the hardest engineering challenges. Verified 2026-09-08.

Batch 77 · M1: Frontier SWE-bench software engineering and complex system refactoring

Frozen Batch 77 scenario board. Formula / deterministic rule: swe_pass_rate = resolved_github_issues / total_evaluated_real_world_issues

Anthropic frontier coding benchmark results and public GitHub issue resolution audits. Validated 2026-09-08.

Frozen scenario / field IDModel, identity, and test inputsObservationDecision boundaryState
batch77-claude-fable-5-m1-r1
Real-world GitHub issue resolution
Complex Django / CPython issue reproductionIdentifies root cause bug, authors regression test, and supplies passing patchPatch passes full suiteMEASURED_ACTIVE
batch77-claude-fable-5-m1-r2
Distributed database transaction isolation
PostgreSQL Serializable Snapshot isolation bugProves write-skew scenario and implements correct two-phase commit lockFormal verification passVERIFIED_DETERMINISTIC
batch77-claude-fable-5-m1-r3
Kernel driver memory safety audit
Rust FFI boundary C memory allocationDetects use-after-free vulnerability and introduces memory-safe pinning wrapperZero safety violationsVALIDATED_OBSERVED
batch77-claude-fable-5-m1-r4
Full-stack monorepo migration loop
Turborepo migration of 32 microservicesHarmonizes shared TypeScript configs and resolves workspace package linksMonorepo build greenVERIFIED_DETERMINISTIC
batch77-claude-fable-5-m1-r5
Autonomous code review and PR generation
5,000 line pull request inspectionDiscovers 2 architectural anti-patterns and generates actionable diff commentsReview actionable = 100%MEASURED_ACTIVE
batch77-claude-fable-5-m1-r6
Legacy codebase translation to modern idioms
COBOL banking module to Java 21 Spring BootTranslates fixed-point arithmetic cleanly preserving exact regulatory centsCent precision = 100%VALIDATED_OBSERVED

First-party provenance: Anthropic Claude models documentation; verification date 2026-09-08. Missing or conflicting joins fail closed.

Batch 77 · M2: 1M Context window needle reasoning and semantic relationship synthesis

Frozen Batch 77 scenario board. Formula / deterministic rule: semantic_hop_accuracy = correctly_linked_multi_doc_entities / total_target_chains

Anthropic multi-hop context synthesis benchmarks. Validated 2026-09-08.

Frozen scenario / field IDModel, identity, and test inputsObservationDecision boundaryState
batch77-claude-fable-5-m2-r1
5-hop cross-document causal synthesis
1M tokens across 50 regulatory reportsTraces causal chain of supply chain disruption across multiple indirect vendors5-hop linkage = 100%MEASURED_ACTIVE
batch77-claude-fable-5-m2-r2
Contradictory evidence reconciliation
Conflicting patent litigation depositionsIdentifies factual contradiction between 2 witnesses on date of inventionContradiction flaggedVERIFIED_DETERMINISTIC
batch77-claude-fable-5-m2-r3
Massive codebase semantic indexing
Full Linux networking subsystem code (900K tokens)Maps packet ingress path from ring buffer to user-space socket accuratelyIngress path verifiedVALIDATED_OBSERVED
batch77-claude-fable-5-m2-r4
Needle retrieval under dense distractors
99.9% similar distractors surrounding keyRetrieves exact target value with zero interference from decoy stringsDecoy interference = 0%VERIFIED_DETERMINISTIC
batch77-claude-fable-5-m2-r5
Context window prompt caching efficiency
900K tokens cached system contextReduces time-to-first-token to 2.1s and avoids redundant token billingCache hit verifiedMEASURED_ACTIVE
batch77-claude-fable-5-m2-r6
Long-context output stability and formatting
30,000 token architectural blueprint outputEmits complete valid Markdown and ASCII sequence diagrams without truncationMarkdown valid = 100%VALIDATED_OBSERVED

First-party provenance: Anthropic Claude models documentation; verification date 2026-09-08. Missing or conflicting joins fail closed.

Batch 77 · M3: Extended thinking deliberation depth and multi-step strategy planning

Frozen Batch 77 scenario board. Formula / deterministic rule: deliberation_soundness = verified_intermediate_steps / total_reasoning_steps

Anthropic deliberation evaluation telemetry and strategic decision analysis. Validated 2026-09-08.

Frozen scenario / field IDModel, identity, and test inputsObservationDecision boundaryState
batch77-claude-fable-5-m3-r1
Competitive game theory strategy synthesis
Multi-player non-zero-sum negotiation gameComputes Nash equilibrium and selects dominant negotiation postureEquilibrium verifiedMEASURED_ACTIVE
batch77-claude-fable-5-m3-r2
Formal ontological taxonomy construction
Medical ontology alignment across SNOMED & ICD-11Constructs coherent DAG taxonomy without circular inheritance referencesZero circular refsVERIFIED_DETERMINISTIC
batch77-claude-fable-5-m3-r3
Hardware acceleration co-design planning
FPGA vs ASIC vs GPU compute economicsEvaluates thermal, latency, and NRE costs across 5-year hardware lifecycleModel completeness = 100%VALIDATED_OBSERVED
batch77-claude-fable-5-m3-r4
Autonomous error trace self-correction
Complex 8-step mathematical deductionDetects division-by-zero branch at step 4 and branches to alternate proof pathSelf-correction passVERIFIED_DETERMINISTIC
batch77-claude-fable-5-m3-r5
Extended thinking token ceiling headroom
128K max output window capacityBalances thinking token depth against final output volume seamlesslyHeadroom respectedMEASURED_ACTIVE
batch77-claude-fable-5-m3-r6
Deliberation transparency and auditability
Enterprise governance audit loggingReasoning traces comply with regulatory auditability standardsAudit compliance = 100%VALIDATED_OBSERVED

First-party provenance: Anthropic Claude models documentation; verification date 2026-09-08. Missing or conflicting joins fail closed.

Test Claude Fable 5 reasoning power
Release details: 2026-05 · stable

What are Claude Fable 5's specs?

Context window1M tokens
Max output128K tokens
Modalitiestext, vision
Extended thinkingYes
Released2026-05
Knowledge cutoff2026-02
ProviderAnthropic

Verified 2026-08-14source.

Where does Claude Fable 5 rank?

9th-largest context window of 39 current models38th-cheapest of 39 current models31st-fastest measured, at 41 tok/s

What are Claude Fable 5's strengths?

  • Most capable widely-released Claude
  • 1M-token context
  • Extended-thinking mode for hard reasoning

What else should you know about Claude Fable 5?

Price
$20.00/M blended tokens
Provider
Served by Anthropic
Head-to-head
Claude Fable 5 vs Claude Opus 4.8
Head-to-head
Claude Fable 5 vs GPT-5.6 Sol
Best for
#20 for Long Documents & RAG
Alternatives
Cross-provider alternatives, ranked by effort
Speed
41 tok/s measured

What are common questions about Claude Fable 5?

What is Claude Fable 5's context window?

Claude Fable 5 has a 1M-token context window and a 128K-token max output — the 9th-largest context of the 39 current models we track. Source: https://docs.anthropic.com/en/docs/about-claude/models, verified 2026-08-14.

Does Claude Fable 5 support vision or audio input?

Yes — Claude Fable 5 accepts vision input in addition to text.

Does Claude Fable 5 have a reasoning or extended-thinking mode?

Yes — Claude Fable 5 exposes a dedicated reasoning mode for multi-step problems.

When was Claude Fable 5 released, and what is its knowledge cutoff?

Claude Fable 5 was released 2026-05 with a knowledge cutoff of 2026-02.

How much does Claude Fable 5 cost, and who provides it?

Claude Fable 5 is served by Anthropic at $20.00/M blended tokens (3:1 input:output) — the 38th-cheapest of 39 current models. Full pricing breakdown: /llm-api-pricing/claude-fable-5.

Try Claude Fable 5 for free

Run real prompts against Claude Fable 5 and every other model on this site in one workspace.

Try Claude Fable 5 Free