Muse Spark 1.3 vs Muse Wonder
Muse Spark 1.3 and Muse Wonder are within three points on the Models at Work leaderboard, which we treat as a tie (59 vs 58 out of 100). On independent tests alone they are also level (61 vs 64). Muse Spark 1.3 is cheaper for a typical mix of reading and writing: $0.78 per million tokens against $8 on Muse Wonder, which is 10 times as much (at least one figure is an Artificial Analysis estimate, not a list price).
| Muse Spark 1.3 · Meta | Muse Wonder · Meta | |
|---|---|---|
| Leaderboard rank | #20 | #22 |
| Score (0–100) | 59 | 58 |
| Kind of work | Everyday default | Hardest problems |
| Price per 1M tokens | $0.78 for a typical mix (estimate) | $4 to read · $20 to write |
| Reads at once | Not verified | 1M tokens (about 750,000 words) |
| Where you can get it | Gemini Enterprise Agent Platform (Google Cloud), preview | Meta Model API, Muse Code, Gemini Enterprise Agent Platform (Google Cloud), preview |
| Can a company host it itself | Not verified | No |
| Artificial Analysis Intelligence Index | Not measured | 44 |
| Arena text score | 1494 | Not measured |
| DistressBench (Scale) | 84.88 | Not measured |
| Humanity's Last Exam, Diamond (Scale) | 25.40 | 37.30 |
| Humanity's Sixth Sense (Scale) | 37.40 | 43.70 |
| Best for | Customer-facing chat, Sensitive support conversations, Teams already buying from Meta | Analysis of images and video, Teams already buying from Meta |
Cost of 1,000 jobs
| 1,000 of these | Muse Spark 1.3 | Muse Wonder |
|---|---|---|
| Support repliesthe customer message, the account notes and two help articles read; a 300-word reply written | No list price | $20 |
| Documents processeda two-page invoice or form read; the fields pulled out | No list price | $14 |
| Calls summariseda 40-minute call transcript read; a summary and next steps written | No list price | $52 |
| Contracts revieweda 40-page contract read against a checklist; a memo of issues written | No list price | $150 |
| Drafts writtena brief and one example read; a 600-word email or proposal section written | No list price | $22 |
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 Spark 1.3 for
- Customer-facing chat
- Sensitive support conversations
- Teams already buying from Meta
Meta's earlier everyday model: near the top of Scale's test of replies to people in distress (84.88) but mid-table on hard exams, with no vendor list price on record.
Caveats: No vendor list price was found; the board uses Artificial Analysis's blended figure of $0.78 per million tokens from 10 October. Artificial Analysis dropped it when it rebuilt its index, so it has no current score there. On Google's cloud it is labelled preview, which usually means no service guarantee.
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.
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 Spark 1.3 or Muse Wonder?
Muse Spark 1.3 and Muse Wonder are within three points on the Models at Work leaderboard, which we treat as a tie (59 vs 58 out of 100). On independent tests alone they are also level (61 vs 64). Muse Spark 1.3 is cheaper for a typical mix of reading and writing: $0.78 per million tokens against $8 on Muse Wonder, which is 10 times as much (at least one figure is an Artificial Analysis estimate, not a list price).
When should I choose Muse Spark 1.3 over Muse Wonder?
Choose Muse Spark 1.3 for customer-facing chat, sensitive support conversations, teams already buying from meta. Meta's earlier everyday model: near the top of Scale's test of replies to people in distress (84.88) but mid-table on hard exams, with no vendor list price on record.
When should I choose Muse Wonder over Muse Spark 1.3?
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.
Which is cheaper, Muse Spark 1.3 or Muse Wonder?
Meta does not publish a simple list price for Muse Spark 1.3; Artificial Analysis estimates $0.78 per million tokens for a typical mix of three parts reading to one part writing. Muse Wonder costs $4 per million tokens it reads (input) and $20 per million tokens it writes (output) on Meta's list price (Artificial Analysis: Muse Wonder, read Nov 12, 2026). A token is about three-quarters of a word.
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.