Muse Wonder vs Gemini 3.6 Flash

  • Muse Wonder rates higher on LMArena’s text leaderboard: 1501 against 1480.
  • Gemini 3.6 Flash is cheaper: $0.75 / $3.75 per million input / output tokens, against $4 / $20 for Muse Wonder.
  • On the 4 Vals AI benchmarks both have taken, Muse Wonder wins 4 and Gemini 3.6 Flash wins 0.
LMArena text rating over time
14601468147514831490Jul 21Aug 13Sep 5Sep 28Oct 22
LatestGemini 3.6 Flash 1480

Side by side

Models (2/6)
  • Muse Wonder
  • Gemini 3.6 Flash
BenchmarkMuse WonderGemini 3.6 Flash
The model
LabMetaGoogle
Released2026-10-122026-07-21
WeightsProprietaryProprietary
Context window1M1M
Input, per 1M tokens$4$0.75
Output, per 1M tokens$20$3.75
LMArena, people’s votes
LMArena TextMillions of people compare two anonymous models side by side and vote for the better answer1501#7 of 3511480#20 of 351
LMArena WebDevPeople ask two anonymous models to build the same web app, try both and vote for the better one1651#18 of 1241538#49 of 124
LMArena VisionSide-by-side votes on prompts that include an image—1299#20 of 146
LMArena CodingLMArena’s text votes on prompts that ask for code1518#11 of 3461491#34 of 346
LMArena MathLMArena’s text votes on math prompts1484#30 of 3391507#11 of 339
LMArena Creative writingLMArena’s text votes on stories, poems and other creative writing1493#7 of 3491466#21 of 349
LMArena Hard promptsLMArena’s text votes on the hardest prompts1505#12 of 3511486#25 of 351
LMArena Instruction followingLMArena’s text votes on prompts with specific instructions to follow1493#10 of 3511467#31 of 351
Vals AI, overall
Vals IndexVals AI’s headline score64.88%#6 of 27—
Vals AI, coding
Terminal-Bench 4.0Frontier-difficulty tasks an agent completes in a real terminal49.49%#10 of 55—
SWE-benchReal GitHub issues from open-source projects—79.60%#25 of 85
Vibe Code BenchBuilding complete web apps from a plain-language brief, graded on whether the app works83.09%#20 of 11564.00%#50 of 115
Code MigrationRewriting working programs in a new language, graded on whether the new program still passes its tests72.36%#5 of 28—
LiveCodeBenchFresh competitive programming problems, collected after models’ training cut-offs to avoid contamination—88.08%#8 of 143
Vals AI, finance
Finance AgentThe core tasks of a financial analyst, done as an agent with research tools65.55%#6 of 31—
Finance IndexVals AI’s composite of finance tasks61.23%#6 of 31—
Tax Agent BenchAgentic research into US corporate tax questions36.27%#12 of 7618.04%#53 of 76
Vals AI, law
Legal IndexVals AI’s composite of legal tasks75.26%#3 of 28—
Legal Research BenchAgentic US legal research50.48%#6 of 8525.00%#60 of 85
Vals AI, medicine
MedCodeAssigning the right medical billing codes from clinical notes—53.15%#11 of 107
Vals AI, reasoning
GPQA DiamondGraduate-level questions in biology, physics and chemistry that experts answer well and search does not—93.43%#7 of 138
MMLU-ProHarder, reasoning-focused multiple choice across 14 subjects, from law to engineering—89.28%#13 of 138
MMMUCollege-level questions that need both an image and text—88.38%#7 of 93
Terminal-Bench ScienceExpert-written scientific research workflows, run by an agent in a terminal22.86%#10 of 424.29%#28 of 42

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Questions

Which is better, Muse Wonder or Gemini 3.6 Flash?

Muse Wonder rates higher on LMArena’s text leaderboard: 1501 against 1480. Gemini 3.6 Flash is cheaper: $0.75 / $3.75 per million input / output tokens, against $4 / $20 for Muse Wonder. On the 4 Vals AI benchmarks both have taken, Muse Wonder wins 4 and Gemini 3.6 Flash wins 0.

Which is cheaper, Muse Wonder or Gemini 3.6 Flash?

Gemini 3.6 Flash is cheaper: $0.75 / $3.75 per million input / output tokens, against $4 / $20 for Muse Wonder.

Sources

Every number on this page comes from these sources; models without a published number show none. Download the data. Cite as “Nexus Explorer, nexus.inc/models”.