MODEL PROOF

Claude Fable 5

BETTER VALUE OPTION

A stored alternative has an equal-or-higher measured score and an equal-or-lower price.

$20.00 / 1M tokens Balanced · 3 tokens in per 1 out

Claude Opus 5.5 · Δ score 20 points · 60% lower measured price · $8.00 / 1M tokens

Gemini 3.8 Flash is a further stored option with these losses: 128K → 66K max output

Independent LMArena score
1,491.7 ± 4.39 · 38,387 votes
Context window
1M
Maximum output
128K
Input modalities
text, image, file
Output modalities
text
Published input price
$10.00 / 1M tokens
Published output price
$50.00 / 1M tokens
Pricing kind
fixed

Inspect complete billing conditions and endpoint terms below.

Price from Anthropic: the cheapest offer that is serving, at standard delivery and at the maker’s precision or better, at its standard rate.

Every price dimension · USD per million tokens
Input$10.00/M
Output$50.00/M
Cached input$1.00/M
Cache write$12.50/M
Cache write 1h$20.00/M
ReasoningUnknown/M
Web search$0.01/call
Batch discount50%

Who sells it

The same weights, different shops. Cheapest is not like-for-like when serving precision differs.

6 provider offers · rates, limits and conditions

Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test.

SellerInputOutputPrecisionUptime (1d)
Claude Platform on AWSclaude-on-aws
Endpoint terms
Cached input /M
$1.00
Context limit
1,000,000 tokens
Output limit
128,000 tokens
Tools
Listed by endpoint
Reasoning
Listed by endpoint
Promotional discount
None reported
Uptime · last 30 minutes
Unknown
$10.00 $50.00 undeclared 100.00%
Azureazure
Endpoint terms
Cached input /M
$1.00
Context limit
1,000,000 tokens
Output limit
128,000 tokens
Tools
Listed by endpoint
Reasoning
Listed by endpoint
Promotional discount
None reported
Uptime · last 30 minutes
Unknown
$10.00 $50.00 undeclared 99.53%
Amazon Bedrockamazon-bedrock
Endpoint terms
Cached input /M
$1.00
Context limit
1,000,000 tokens
Output limit
128,000 tokens
Tools
Listed by endpoint
Reasoning
Listed by endpoint
Promotional discount
None reported
Uptime · last 30 minutes
Unknown
$10.00 $50.00 undeclared —
Googlegoogle-vertex/global
Endpoint terms
Cached input /M
$1.00
Context limit
1,000,000 tokens
Output limit
128,000 tokens
Tools
Listed by endpoint
Reasoning
Listed by endpoint
Promotional discount
None reported
Uptime · last 30 minutes
Unknown
$10.00 $50.00 undeclared 98.71%
Anthropicanthropic
Endpoint terms
Cached input /M
$1.00
Context limit
1,000,000 tokens
Output limit
128,000 tokens
Tools
Listed by endpoint
Reasoning
Listed by endpoint
Promotional discount
None reported
Uptime · last 30 minutes
99.95%
$10.00 $50.00 undeclared 99.83%
Googlegoogle-vertex/europe
Endpoint terms
Cached input /M
$1.10
Context limit
1,000,000 tokens
Output limit
128,000 tokens
Tools
Listed by endpoint
Reasoning
Listed by endpoint
Promotional discount
None reported
Uptime · last 30 minutes
Unknown
$11.00 $55.00 undeclared 100.00%

Independent scores

LMArena Elo1491.7high

LMArena Elo under CC BY 4.0. Absence of another board is not a score of zero.

Best rankings by task

  • Agenticgamedev #1 1285
  • Htmlslides #1 1277
  • Agentichtmlslides #1 1254
  • Agenticslides(html) #1 1252
  • ASCII art #2 1338
  • Native Android apps #2 1297
  • Godot games #2 1292
  • Python pptxslides #3 1295

Per-task Elo and rank from Design Arena, via OpenRouter’s model feed. The rank is the feed’s, and it counts models OpenRouter does not list.

Capability

Context window1M
Max output128K
Input modestext, image, file
Tool useyes
Reasoningalways on
Open weightsno

Provenance

Price sourceopenrouter.ai
Fetched2026-10-06
Quality dataverified
Cross-checkedvendor page

A published time-to-first-token figure for this model was implausible (98s) and has been withheld rather than displayed.

Our take

editorial — not a measurement

Evaluate Fable for difficult agent workflows where an avoided failure could justify more spend. Compare it with Opus on the same tasks and reasoning settings before choosing it. Use the current proof and benchmark evidence on this page for measured standing. The data layer withholds a suspect latency figure, so that figure cannot establish suitability for interactive work.

Strengths

  • Tool use and structured outputs are listed in the accepted record
  • Cache and batch pricing are recorded separately

Weaknesses

  • Measure latency on your own prompts; the withheld figure is not usable evidence
  • Compare tokenizer counts on the actual text rather than assuming identical token bills across models

Reach for it when

  • Evaluation for difficult agent tasks
  • Workflows that can measure quality and cost per completed task

Avoid it if

  • Your application requires a latency guarantee you have not tested
  • A less expensive candidate already passes your evaluations

Sources: platform.claude.complatform.claude.com

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...

Questions this page answers

What does Claude Fable 5 cost?

$10.00/M in, $50.00/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription.

Does Claude Fable 5 have an independent quality score?

Claude Fable 5 has an LMArena score in this catalogue.

What beats Claude Fable 5?

Claude Opus 5.5 has an equal-or-higher measured score and an equal-or-lower price.

Does this page use Artificial Analysis scores for Claude Fable 5?

No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated.

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Claude Fable 5 — Undominated.ai dominance verdict

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