Muse Wonder Full 1.0

MetaKey muse-wonder-full-1.0

Rank
#108
by active users
Active users
10
Up 7 from 3 active users in the previous 30 days. vs previous 30 days
Adoption
1.0%
of 958 accounts
Tokens
3B
cache included
Est. cost
$42
at public list prices
First seen
Oct 12, 2026
in any submission

Oct 14 – Nov 12, 2026 (UTC)958 accounts100% of tokens from an identified modelData through Nov 12, 2026, 00:36 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

0 active users on Nov 12, 2026

Daily active users for Muse Wonder Full 1.0, Oct 14, 2026 to Nov 12, 2026. Peak 4. Use the left and right arrow keys to read each day.420
Show daily values
Daily active users and tokens for Muse Wonder Full 1.0
Date (UTC)Active usersTokens
Oct 14, 2026420.5M
Oct 15, 20262361.3M
Oct 16, 20263946.7M
Oct 17, 2026497.3M
Oct 18, 202627.2M
Oct 19, 20264340.7M
Oct 20, 20263400.1M
Oct 21, 202600
Oct 22, 202600
Oct 23, 20261445K
Oct 24, 202614.1M
Oct 25, 20261128.7M
Oct 26, 202624.7M
Oct 27, 202600
Oct 28, 202600
Oct 29, 202600
Oct 30, 202600
Oct 31, 202614.8M
Nov 1, 2026441.2M
Nov 2, 20263126.5M
Nov 3, 20262219.2M
Nov 4, 2026259.9M
Nov 5, 202600
Nov 6, 2026215.8M
Nov 7, 20263140.5M
Nov 8, 2026243.2M
Nov 9, 202625.5M
Nov 10, 2026133.8M
Nov 11, 2026130.3M
Nov 12, 202600

Token mix

How the 3B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input4.2%
  • Output0.3%
  • Cache read95%
  • Cache write0%
  • Reasoning0.2%

Agents that carry Muse Wonder Full 1.0

Each agent's share of this model's tokens, and how many accounts used the model through it.

  1. Muse Code94% of this model's tokens6active users
  2. Codebuff2.8% of this model's tokens1active users
  3. Junie2.0% of this model's tokens1active users
  4. OpenCode0.8% of this model's tokens1active users
  5. Oh My Pi<0.1% of this model's tokens1active users
  6. Hermes Agent<0.1% of this model's tokens1active users

Benchmarks

The best result for Muse Wonder Full 1.0 in each benchmark Tokscale tracks. Each benchmark has its own unit, run conditions and source, so compare a score only with other models on the same benchmark. Rank is among the models Tokscale matched in that benchmark.

All benchmarks
  • WebDev ArenaWeb development · LMArena
    1,726
    Rank #6 of 110 matched modelsMaxPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)

Pricing

models.dev does not list Muse Wonder Full 1.0, so Tokscale has no list price or price estimate for it.

Specs

models.dev does not list Muse Wonder Full 1.0, so Tokscale has no specs for it.

Top public profiles

Public profiles that used Muse Wonder Full 1.0 most in this period, by tokens. Hidden accounts are never listed.

  1. 1Sunghyun Cho@anaclumos1.9Btokens—est. cost6active daysno price · 6 active days
  2. 2Zenco@notzenco374.7Mtokens—est. cost4active daysno price · 4 active days
  3. 3Ziyang Fang@Fangziyang0910314.1Mtokens—est. cost12active daysno price · 12 active days
  4. 4BlockedPath @BlockedPath156.6Mtokens—est. cost8active daysno price · 8 active days
  5. 5Baptiste@BaptisteFaisy84.2Mtokens—est. cost1active daysno price · 1 active days
  6. 6Yags@whyyagswhy64.2Mtokens$42est. cost4active days$42 est. cost · 4 active days
  7. 7ualtinok@ualtinok60.3Mtokens—est. cost9active daysno price · 9 active days
  8. 8Sachee@comicsansbestfont23.7Mtokens—est. cost1active daysno price · 1 active days
  9. 9Alec Z@offcall6.2Mtokens—est. cost1active daysno price · 1 active days
  10. 10Brad Lishman@bradlishman202Ktokens—est. cost4active daysno price · 4 active days

Other Meta models in the same period, by active users.

  1. Muse Spark 1.3 Contributor6.1% adoption58active users
  2. Muse Spark 1.3 Contributor Free4.9% adoption47active users
  3. Muse Spark 1.32.2% adoption21active users
  4. Muse Wonder 1.01.8% adoption17active users
  5. Muse Spark 1.2 Contributor0.6% adoption6active users
  6. Muse Wonder 1.0 Contributor0.5% adoption5active users
All models

Sources and attribution

Each score keeps its own source, unit and run conditions. Tokscale does not combine benchmarks into one score, and a missing score means the model was not evaluated, not that it scored zero.

  • LMArenaWebDev Arena and Agent Arena leaderboards.CC BY 4.0 · Retrieved Oct 21, 2026 · Data through Oct 19, 2026LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset), Hugging Face.
  • TokscaleActive users, tokens and token mix from public Tokscale submissions. Hidden accounts are excluded.How we count