Muse Wonder vs Gemini 3.7 Flash

  • Muse Wonder rates higher on LMArena’s text leaderboard: 1501 against 1490.
  • Gemini 3.7 Flash is cheaper: $0.75 / $3.75 per million input / output tokens, against $4 / $20 for Muse Wonder.
  • On the 5 Vals AI benchmarks both have taken, Muse Wonder wins 5 and Gemini 3.7 Flash wins 0.

Side by side

Models (2/6)
  • Muse Wonder
  • Gemini 3.7 Flash
BenchmarkMuse WonderGemini 3.7 Flash
The model
LabMetaGoogle
Released2026-10-122026-08-13
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 3511490#14 of 351
LMArena WebDevPeople ask two anonymous models to build the same web app, try both and vote for the better one1651#18 of 1241590#33 of 124
LMArena VisionSide-by-side votes on prompts that include an image—1314#8 of 146
LMArena CodingLMArena’s text votes on prompts that ask for code1518#11 of 3461501#24 of 346
LMArena MathLMArena’s text votes on math prompts1484#30 of 3391510#10 of 339
LMArena Creative writingLMArena’s text votes on stories, poems and other creative writing1493#7 of 3491489#9 of 349
LMArena Hard promptsLMArena’s text votes on the hardest prompts1505#12 of 3511497#15 of 351
LMArena Instruction followingLMArena’s text votes on prompts with specific instructions to follow1493#10 of 3511486#15 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 5512.12%#37 of 55
SWE-benchReal GitHub issues from open-source projects—80.80%#22 of 85
Vibe Code BenchBuilding complete web apps from a plain-language brief, graded on whether the app works83.09%#20 of 11570.39%#43 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—88.65%#5 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 7622.80%#44 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 8534.62%#45 of 85
Vals AI, medicine
MedCodeAssigning the right medical billing codes from clinical notes—53.39%#9 of 107
Vals AI, reasoning
GPQA DiamondGraduate-level questions in biology, physics and chemistry that experts answer well and search does not—93.94%#5 of 138
MMLU-ProHarder, reasoning-focused multiple choice across 14 subjects, from law to engineering—90.12%#6 of 138
MMMUCollege-level questions that need both an image and text—88.96%#5 of 93
Terminal-Bench ScienceExpert-written scientific research workflows, run by an agent in a terminal22.86%#10 of 427.14%#20 of 42

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Questions

Which is better, Muse Wonder or Gemini 3.7 Flash?

Muse Wonder rates higher on LMArena’s text leaderboard: 1501 against 1490. Gemini 3.7 Flash is cheaper: $0.75 / $3.75 per million input / output tokens, against $4 / $20 for Muse Wonder. On the 5 Vals AI benchmarks both have taken, Muse Wonder wins 5 and Gemini 3.7 Flash wins 0.

Which is cheaper, Muse Wonder or Gemini 3.7 Flash?

Gemini 3.7 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”.