---
title: "Meta: Muse Wonder — price, capability and what beats it · Undominated.ai"
canonical: https://undominated.ai/models/meta__muse-wonder/
description: "Meta: Muse Wonder: $4.00/M in, $20.00/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements."
---

# Meta: Muse Wonder — price, capability and what beats it · Undominated.ai

> Meta: Muse Wonder: $4.00/M in, $20.00/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements.

[Check base rates for this workload](/check/meta__muse-wonder/) [Cheaper alternatives](/alternatives/meta__muse-wonder/) [Family](/families/) [Compare models](https://undominated.ai/compare/?models=meta%2Fmuse-wonder) Comparison context

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Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls.

MODEL PROOF

# Muse Wonder

Meta · 12 Oct 2026

 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.

 **$8.00** / 1M tokens Balanced · 3 tokens in per 1 out

[Gemini 4 Argon](/models/google__gemini-4-argon/) · Δ score 29.3 points · same measured price · $8.00 / 1M tokens (Price under confirmation since Oct 21, 2026)

[Claude Opus 5.5](/models/anthropic__claude-opus-5.5/) is a further stored option with these losses: 1M → 1M context, 944K → 128K max output, no video, audio input

Evidence as of 21 Oct 2026

 [openrouter/models](https://openrouter.ai/api/v1/models) [LMArena · cc-by-4.0](https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset) Independent LMArena score 1,503.9 ± 13.18 · 1,944 votes
 Context window 1.05M
 Maximum output 943.72K
 Input modalities text, image, video, file, audio
 Output modalities text
 Published input price $4.00 / 1M tokens
 Published output price $20.00 / 1M tokens
 Pricing kind fixed

Inspect [complete billing conditions](#billing-details) and endpoint terms below.

Price from Meta: the cheapest offer that is serving, at standard delivery, with at least 90% of the reference context and at the maker’s precision or better, at its standard rate.

 Every price dimension · USD per million tokens

| Input | $4.00 /M |
| --- | --- |
| Output | $20.00 /M |
| Cached input | $0.200 /M |
| Cache write | Unknown /M |
| Cache write 1h | Unknown /M |
| Reasoning | Unknown /M |
| Web search | $0.0025 /call |

### Who sells it

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

 1 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 Meta meta Endpoint terms Cached input /M $0.200 Context limit 1,048,576 tokens Output limit 943,718 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $4.00 | Output $20.00 | Precision undeclared | Uptime (1d) 100.00% |

### Independent scores

| LMArena Elo | 1503.9 max |
| --- | --- |
| LMArena row | muse-wonder-max |

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

#### Best rankings by task

 - Websites #1 1361
- Code categories #2 1370
- UI components #2 1374
- 3D #4 1425
- Game development #5 1379
- Spreadsheet #8 1232
- Data visualisation #12 1321

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 | 943K |
| Input modes | text, image, video, file, audio |
| Tool use | yes |
| Reasoning | always on |
| Open weights | Unknown |

### Provenance

| Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) |
| --- | --- |
| Fetched | 2026-10-21 |
| Quality data | verified |

Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...

## Questions this page answers

 What does Muse Wonder cost?

$4.00/M in, $20.00/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription.

 Does Muse Wonder have an independent quality score?

Muse Wonder has an LMArena score in this catalogue.

 What beats Muse Wonder?

Gemini 4 Argon has an equal-or-higher measured score and an equal-or-lower price.

 Does this page use Artificial Analysis scores for Muse Wonder?

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

Meta: Muse Wonder. Balanced workload. Better value option available. Evidence as of 21 Oct 2026.

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## Related

 - Higher score or lower price, neither worse [Gemini 4 Argon](/models/google__gemini-4-argon/)
- Higher score or lower price, with a named trade [Claude Opus 5.5](/models/anthropic__claude-opus-5.5/)
- Nearby on the capability axis [Claude Fable 5.1](/models/anthropic__claude-fable-5.1/)
- Same vendor [Muse Spark 1.3](/models/meta__muse-spark-1.3/)
- Meta models [Meta](/providers/meta/)
- Where this model appears [effort](/effort/)
- Nearby on the capability axis [Claude Opus 5](/models/anthropic__claude-opus-5/)
- Same vendor [Muse Spark 1.2](/models/meta__muse-spark-1.2/)
- Where this model appears [significance](/significance/)
- Nearby on the capability axis [Claude Opus 4.6](/models/anthropic__claude-opus-4.6/)
- Same vendor [Muse Spark 1.1](/models/meta__muse-spark-1.1/)
- Where this model appears [cheapest-at](/cheapest-at/)

## 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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## Continue your investigation

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