Published context capacity
Review this signal against your actual prompt distribution and provider documentation.
Builder decision page
Claude Fable 5 Context Window: Capacity and Production Fit
Compare context-window capacity, pricing, and evidence so builders can assess long-document and multi-turn workload fit. Values below come from the canonical AIBuzzHub model profile and are marked as not verified when unavailable.
Builder answer
A larger context window is useful only when the model’s quality, cost, and latency remain appropriate for the application’s real prompt distribution.
Input / 1M tokens
$10.00
Output / 1M tokens
$50.00
Context window
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Weights
API / closed
context window signals
Long-prompt input economics
Review this signal against your actual prompt distribution and provider documentation.
Quality and latency trade-offs
Review this signal against your actual prompt distribution and provider documentation.
Operational and benchmark data
Latency p50
Not verified
TTFT
Not verified
Throughput
Not verified
License
Proprietary API
Operational fields and scores are only decision aids. Confirm methodology, model version, region, and workload-specific behavior before shipping.
Builder note
Standard API list pricing. Cache reads, cache writes, Batch API, Fast mode, and US-only inference can change the effective cost.