---
title: "Anthropic: Claude Fable 5 — price, capability and what beats it · Undominated.ai"
canonical: https://undominated.ai/models/anthropic__claude-fable-5/
description: "Anthropic: Claude Fable 5: $10.00/M in, $50.00/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements."
---

# Anthropic: Claude Fable 5 — price, capability and what beats it · Undominated.ai

> Anthropic: Claude Fable 5: $10.00/M in, $50.00/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements.

[Check base rates for this workload](/check/anthropic__claude-fable-5/) [Cheaper alternatives](/alternatives/anthropic__claude-fable-5/) [Family](/families/claude/) [Compare models](https://undominated.ai/compare/?models=anthropic%2Fclaude-fable-5) Comparison context

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MODEL PROOF

# Claude Fable 5

Anthropic · 09 Jun 2026 · proprietary

 Balanced Summarise Chat Code gen Agentic

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](/models/anthropic__claude-opus-5.5/) · Δ score 20 points · 60% lower measured price · $8.00 / 1M tokens

[Gemini 3.8 Flash](/models/google__gemini-3.8-flash/) is a further stored option with these losses: 128K → 66K max output

Evidence as of 06 Oct 2026

 [openrouter/models](https://openrouter.ai/api/v1/models) [Vendor cross-check](https://platform.claude.com/docs/en/about-claude/pricing) [LMArena · cc-by-4.0](https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset) 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](#billing-details) 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 |
| Reasoning | Unknown /M |
| Web search | $0.01 /call |
| Batch discount | 50% |

### 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.

| Seller | Input | Output | Precision | Uptime (1d) |
| --- | --- | --- | --- | --- |
| Seller Claude Platform on AWS claude-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 | Input $10.00 | Output $50.00 | Precision undeclared | Uptime (1d) 100.00% |
| Seller Azure azure 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 | Input $10.00 | Output $50.00 | Precision undeclared | Uptime (1d) 99.53% |
| Seller Amazon Bedrock amazon-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 | Input $10.00 | Output $50.00 | Precision undeclared | Uptime (1d) — |
| Seller Google google-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 | Input $10.00 | Output $50.00 | Precision undeclared | Uptime (1d) 98.71% |
| Seller Anthropic anthropic 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% | Input $10.00 | Output $50.00 | Precision undeclared | Uptime (1d) 99.83% |
| Seller Google google-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 | Input $11.00 | Output $55.00 | Precision undeclared | Uptime (1d) 100.00% |

### Independent scores

| LMArena Elo | 1491.7 high |
| --- | --- |

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](https://designarena.ai), via OpenRouter’s model feed. The rank is the feed’s, and it counts models OpenRouter does not list.

### Capability

| Context window | 1M |
| --- | --- |
| Max output | 128K |
| Input modes | text, image, file |
| Tool use | yes |
| Reasoning | always on |
| Open weights | no |

### Provenance

| Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) |
| --- | --- |
| Fetched | 2026-10-06 |
| Quality data | verified |
| Cross-checked | [vendor page](https://platform.claude.com/docs/en/about-claude/pricing) |

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.com](https://platform.claude.com/docs/en/about-claude/pricing) · [platform.claude.com](https://platform.claude.com/docs/en/about-claude/models/overview)

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.

MODEL MONUMENT

## Save or share this proof

 Download proof card · 1200 × 630 Preview and more sharing options

Anthropic: Claude Fable 5. Balanced workload. Better value option available. Evidence as of 06 Oct 2026.

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## Related

 - Both better and cheaper [Claude Opus 5.5](/models/anthropic__claude-opus-5.5/)
- Higher score and cheaper, with a named trade [Gemini 3.8 Flash](/models/google__gemini-3.8-flash/)
- Nearby on the capability axis [MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/)
- Same vendor [Claude Opus 5](/models/anthropic__claude-opus-5/)
- Anthropic models [Anthropic](/providers/anthropic/)
- Where this model appears [disagreement](/disagreement/)
- Nearby on the capability axis [Claude Opus 4.7](/models/anthropic__claude-opus-4.7/)
- Same vendor [Claude Opus 4.6](/models/anthropic__claude-opus-4.6/)
- Where this model appears [effort](/effort/)
- Nearby on the capability axis [Muse Spark 1.3](/models/meta__muse-spark-1.3/)
- Same vendor [Claude Fable 5.1](/models/anthropic__claude-fable-5.1/)
- Where this model appears [significance](/significance/)

## Badge

The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not.

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Direct file: [https://undominated.ai/badge/anthropic__claude-fable-5.svg](https://undominated.ai/badge/anthropic__claude-fable-5.svg) — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never older than the last deploy.

## Continue your investigation

 - [Explore model families](/families/)
- [Compare a shortlist](/compare/)
- [Check a model](/check/)
- [Understand the evidence](/methodology/)
