Anthropic.claude Fable 5
AWS Bedrock (Converse)Chat1M context· released 2026-06-09Floating alias
anthropic.claude-fable-5Prices as of 2026-07-14 · rev 179affb· unknown is shown as unknown, never $0.00
Pricing
| Input · fresh prompt tokens | $10.00 / M |
|---|---|
| Output · generated tokens | $50.00 / M |
| Cache read · cached-input hit | $1.00 / M |
| Cache write · 5-minute TTL | $12.50 / M |
| Cache write · 1-hour TTL | $20.00 / M |
| Reasoning · thinking tokens | unknown |
Reasoning tokens: no separate rate is published. Providers typically bill thinking tokens at the output rate ($50.00 / M) — which is what the estimator assumes, so an extended-thinking workload isn't silently undercounted.
Model info
- Provider
- AWS Bedrock (Converse)
- Catalog key
- bedrock_converse/anthropic.claude-fable-5
- Identifier
- Floating alias (may re-point over time)
- Type
- Chat
- Max input
- 1,000,000 tokens
- Max output
- 128,000 tokens
- Released
- 2026-06-09
- Knowledge cutoff
- unknown
- Weights
- Proprietary
- Price snapshot
- 2026-07-14 · rev 179affb
Pricing from TokenTriage's resolved price artifact (TokenTriage resolved price artifact (internal/pricing/data/prices.json)); capability + model metadata is third-party (LiteLLM model_prices_and_context_window.json, models.dev). Unknown means unstated, not absent.
Prompt-cache break-even
reuse the same prefix ≥ 2 times and caching winsWriting a prefix to cache costs a premium, but each subsequent hit reads at $1.00/M instead of $10.00/M. For this model the crossover is 2 reuses — past that, the same prompt keeps getting cheaper. TokenTriage's semantic cache is built to cross that line for you.
Capabilities
7 documented as supportedInput & output
API behaviour
Agents & tools
✓ supported ·✕ not supported ·? not documented ·⚠ sources disagree. A models.dev tag means the LiteLLM catalog was silent and an independent source supplied the value (lower confidence); ? is never silently turned into a confident ✕.
Estimate a request
disjoint token buckets · input = fresh (uncached) tokensHow output length drives the bill
at a 1K-token prompt · cost scales linearly with outputOutput tokens overtake input spend at ~200 tokens for this model — past that, generation is your bill, whatever the headline input price says. Computed by the same cost engine as the estimate above.
Route to Anthropic.claude Fable 5
OpenAI-compatible · one base URLcurl https://YOUR-TOKENTRIAGE-HOST/v1/chat/completions \ -H "Authorization: Bearer $TOKENTRIAGE_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "bedrock_converse/anthropic.claude-fable-5", "messages": [{"role": "user", "content": "Hello"}] }'from openai import OpenAI client = OpenAI( base_url="https://YOUR-TOKENTRIAGE-HOST/v1", api_key="YOUR_TOKENTRIAGE_KEY", ) resp = client.chat.completions.create( model="bedrock_converse/anthropic.claude-fable-5", messages=[{"role": "user", "content": "Hello"}], ) print(resp.choices[0].message.content)
Point your existing OpenAI client at your TokenTriage host and pass the catalog key as the model. TokenTriage attributes the real cost per request and can route to a cheaper model once it's proven just as good on your traffic.
Data & API
machine-readable · rev 179affbPull this model's pricing, capabilities, benchmarks and cross-source provenance programmatically — every field carries the snapshot rev, and unknown is null, never 0. Free to reuse with attribution: benchmarks & Capabilities Index © Epoch AI (CC-BY (Epoch AI)); human-preference Elo © LMArena (CC-BY-4.0); capability & price cross-check via models.dev v2 (MIT) · Portkey (MIT) · TrueFoundry (MIT); open-weights facts via Hugging Face (per-repo license).
A price is a guess until it meets your traffic.
This page tells you what Anthropic.claude Fable 5 charges per token. TokenTriage tells you what it costs on your real requests — and cuts the bill only after proving a cheaper model is just as good.