Side by side · November 2026

Muse Wonder vs Muse Spark Open

Muse Wonder scores higher on the Models at Work leaderboard (58 vs 54 out of 100). On independent tests alone, Muse Wonder is ahead (64 vs 42). Muse Spark Open has no list price we could verify, so the two cannot be compared on cost. On the Artificial Analysis Intelligence Index, one of the independent tests, Muse Wonder leads 44 to 25.

Updated Nov 12, 2026 · every number links to who measured it
Muse Wonder · MetaMuse Spark Open · Meta
Leaderboard rank#22#26
Score (0–100)5854
Kind of workHardest problemsRun it yourself
Price per 1M tokens$4 to read · $20 to writeNot verified
Reads at once1M tokens (about 750,000 words)1M tokens (about 750,000 words)
Where you can get itMeta Model API, Muse Code, Gemini Enterprise Agent Platform (Google Cloud), previewAmazon SageMaker JumpStart
Can a company host it itselfNoYes (open weights)
Artificial Analysis Intelligence Index4425
Humanity's Last Exam, Diamond (Scale)37.3028.00
Humanity's Sixth Sense (Scale)43.7029.60
Best forAnalysis of images and video, Teams already buying from MetaRunning AI on your own servers or your AWS account, Keeping sensitive data in-house

Cost of 1,000 jobs

1,000 of theseMuse WonderMuse Spark Open
Support repliesthe customer message, the account notes and two help articles read; a 300-word reply written$20No list price
Documents processeda two-page invoice or form read; the fields pulled out$14No list price
Calls summariseda 40-minute call transcript read; a summary and next steps written$52No list price
Contracts revieweda 40-page contract read against a checklist; a memo of issues written$150No list price
Drafts writtena brief and one example read; a 600-word email or proposal section written$22No list price

Worked out from each vendor’s list price and a fixed size for each job. A product built on a model charges its own price on top. See what every model costs for the same jobs.

Choose Muse Wonder for

  • Analysis of images and video
  • Teams already buying from Meta

Meta charges Claude Opus 5.5's list price for a model that scores 44 on Artificial Analysis's index against Opus's 59: hard to justify unless images and video are the job.

Caveats: Meta's announcement gives no price; $4 in / $20 out per million tokens is the figure Artificial Analysis lists and TechCrunch reported. Level with Opus 5.5 on Scale's visual-reasoning test (43.7 against 44.6) but far behind on its expert-question exam (37.3 against 55.0). On Google's cloud it is labelled preview, which usually means no service guarantee. One user's test run spent $96 without finishing a task that Opus 5.5 finished for $8.44: the same list price is not the same bill. A stronger version, Muse Wonder Full, is sold only inside Meta's Muse Code subscription and is not ranked.

Choose Muse Spark Open for

  • Running AI on your own servers or your AWS account
  • Keeping sensitive data in-house

Meta's open model for running on your own servers: 25 on Artificial Analysis's index, level with Mistral Large 4, with no per-use price and Meta's own licence to read first.

Caveats: There is no per-use price: you pay for the hardware, and neither Meta nor AWS states what that costs. The licence is Meta's own, with a usage policy, not a standard open licence: have legal read it. It is a very large model that needs data-centre hardware. Meta's own test figures are not counted.

What people running them say

Muse Wonder: The one user report in Signals, from the r/ClaudeAI community on Reddit, is the owner of a model-testing site having it play the video game Pokemon Red: Muse Wonder cost $96.06 over six hours and ended stuck, while Opus 5.5, at the same price per token (the unit vendors bill by), won the game's first gym battle for $8.44. One uncontrolled run, so unscored.

Questions people ask

Which is better, Muse Wonder or Muse Spark Open?

Muse Wonder scores higher on the Models at Work leaderboard (58 vs 54 out of 100). On independent tests alone, Muse Wonder is ahead (64 vs 42). Muse Spark Open has no list price we could verify, so the two cannot be compared on cost. On the Artificial Analysis Intelligence Index, one of the independent tests, Muse Wonder leads 44 to 25.

When should I choose Muse Wonder over Muse Spark Open?

Choose Muse Wonder for analysis of images and video, teams already buying from meta. Meta charges Claude Opus 5.5's list price for a model that scores 44 on Artificial Analysis's index against Opus's 59: hard to justify unless images and video are the job.

When should I choose Muse Spark Open over Muse Wonder?

Choose Muse Spark Open for running ai on your own servers or your aws account, keeping sensitive data in-house. Meta's open model for running on your own servers: 25 on Artificial Analysis's index, level with Mistral Large 4, with no per-use price and Meta's own licence to read first.

Scores come from the Models at Work leaderboard: Score is 0 to 100 and computed, not typed. 40% is independent testing (Artificial Analysis, Arena, Scale, Epoch, Vals and others; each test is scaled against the best score on this board, and tests of real work, such as finished freelance projects or professional tasks, count double the exams). 30% is price: the vendor's list price for a typical mix of reading and writing, on a fixed scale from $0.05 to $60 per million tokens, so a model that costs a fifth as much gains real ground. 15% is what people report after running it, from Signals and linked threads. 15% is fit: how much text it can take in at once and where a business can get it (the products and clouds that carry it), with a small credit for open weights. A missing component drops out and the rest are reweighted. A model with no independent test yet is provisional and ranks below every measured one. Within three points is a tie. Vendor-published figures are labelled and never counted. Prices are vendor list prices where published; a typical mix assumes three parts reading to one part writing.