Gemini 3.8 Flash vs Muse Spark

  • Gemini 3.8 Flash rates higher on LMArena’s text leaderboard: 1498 against 1474.
  • On the 6 Vals AI benchmarks both have taken, Gemini 3.8 Flash wins 5 and Muse Spark wins 1 (Gemini 3.8 Flash: SWE-bench, Vibe Code Bench, GPQA Diamond).
LMArena text rating over time
14601468147514831490Apr 26May 26Jul 26Sep 26Oct 26
LatestMuse Spark 1474

Side by side

Models (2/6)
  • Gemini 3.8 Flash
  • Muse Spark
BenchmarkGemini 3.8 FlashMuse Spark
The model
LabGoogleMeta
Released2026-09-02—
WeightsProprietaryProprietary
Context window1M—
Input, per 1M tokens$0.82—
Output, per 1M tokens$4.13—
LMArena, people’s votes
LMArena TextMillions of people compare two anonymous models side by side and vote for the better answer1498#8 of 3511474#26 of 351
LMArena WebDevPeople ask two anonymous models to build the same web app, try both and vote for the better one1585#36 of 124—
LMArena VisionSide-by-side votes on prompts that include an image1315#7 of 1461306#15 of 146
LMArena CodingLMArena’s text votes on prompts that ask for code1508#17 of 3461481#56 of 346
LMArena MathLMArena’s text votes on math prompts1532#4 of 3391456#65 of 339
LMArena Creative writingLMArena’s text votes on stories, poems and other creative writing1489#8 of 3491459#26 of 349
LMArena Hard promptsLMArena’s text votes on the hardest prompts1509#9 of 3511474#41 of 351
LMArena Instruction followingLMArena’s text votes on prompts with specific instructions to follow1492#11 of 3511443#58 of 351
Vals AI, overall
Vals IndexVals AI’s headline score55.95%#15 of 27—
Vals AI, coding
Terminal-Bench 4.0Frontier-difficulty tasks an agent completes in a real terminal19.70%#31 of 55—
SWE-benchReal GitHub issues from open-source projects80.00%#23 of 8574.40%#45 of 85
Vibe Code BenchBuilding complete web apps from a plain-language brief, graded on whether the app works78.65%#29 of 11519.67%#84 of 115
Code MigrationRewriting working programs in a new language, graded on whether the new program still passes its tests38.65%#22 of 28—
LiveCodeBenchFresh competitive programming problems, collected after models’ training cut-offs to avoid contamination89.48%#3 of 143—
Vals AI, finance
Finance AgentThe core tasks of a financial analyst, done as an agent with research tools65.76%#5 of 31—
Finance IndexVals AI’s composite of finance tasks60.46%#9 of 31—
Tax Agent BenchAgentic research into US corporate tax questions32.12%#21 of 76—
Vals AI, law
Legal IndexVals AI’s composite of legal tasks69.78%#14 of 28—
Legal Research BenchAgentic US legal research38.94%#34 of 85—
Vals AI, medicine
MedCodeAssigning the right medical billing codes from clinical notes48.13%#31 of 10751.31%#16 of 107
Vals AI, reasoning
GPQA DiamondGraduate-level questions in biology, physics and chemistry that experts answer well and search does not94.44%#4 of 13889.65%#28 of 138
MMLU-ProHarder, reasoning-focused multiple choice across 14 subjects, from law to engineering90.22%#5 of 13887.32%#30 of 138
AIMEProblems from the American Invitational Mathematics Examination, a qualifier for the US Math Olympiad—96.88%#3 of 96
MMMUCollege-level questions that need both an image and text89.08%#4 of 9387.40%#16 of 93
Terminal-Bench ScienceExpert-written scientific research workflows, run by an agent in a terminal8.57%#19 of 42—

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Questions

Which is better, Gemini 3.8 Flash or Muse Spark?

Gemini 3.8 Flash rates higher on LMArena’s text leaderboard: 1498 against 1474. On the 6 Vals AI benchmarks both have taken, Gemini 3.8 Flash wins 5 and Muse Spark wins 1 (Gemini 3.8 Flash: SWE-bench, Vibe Code Bench, GPQA Diamond).

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”.