Gemini 3.1 Pro Preview vs Muse Spark

  • Gemini 3.1 Pro Preview rates higher on LMArena’s text leaderboard: 1480 against 1474.
  • On the 7 Vals AI benchmarks both have taken, Gemini 3.1 Pro Preview wins 7 and Muse Spark wins 0.
LMArena text rating over time
14601473148514981510Feb 26Apr 26Jun 26Aug 26Oct 26
LatestGemini 3.1 Pro Preview 1480Muse Spark 1474

Side by side

Models (2/6)
  • Gemini 3.1 Pro Preview
  • Muse Spark
BenchmarkGemini 3.1 Pro PreviewMuse Spark
The model
LabGoogleMeta
Released2026-02-19—
WeightsProprietaryProprietary
Context window1M—
Input, per 1M tokens$2—
Output, per 1M tokens$12—
LMArena, people’s votes
LMArena TextMillions of people compare two anonymous models side by side and vote for the better answer1480#19 of 3511474#26 of 351
LMArena WebDevPeople ask two anonymous models to build the same web app, try both and vote for the better one1447#78 of 124—
LMArena VisionSide-by-side votes on prompts that include an image1296#22 of 1461306#15 of 146
LMArena CodingLMArena’s text votes on prompts that ask for code1484#48 of 3461481#56 of 346
LMArena MathLMArena’s text votes on math prompts1486#28 of 3391456#65 of 339
LMArena Creative writingLMArena’s text votes on stories, poems and other creative writing1482#14 of 3491459#26 of 349
LMArena Hard promptsLMArena’s text votes on the hardest prompts1485#30 of 3511474#41 of 351
LMArena Instruction followingLMArena’s text votes on prompts with specific instructions to follow1466#35 of 3511443#58 of 351
Vals AI, coding
Terminal-Bench 4.0Frontier-difficulty tasks an agent completes in a real terminal2.52%#49 of 55—
SWE-benchReal GitHub issues from open-source projects78.80%#28 of 8574.40%#45 of 85
Vibe Code BenchBuilding complete web apps from a plain-language brief, graded on whether the app works32.03%#72 of 11519.67%#84 of 115
LiveCodeBenchFresh competitive programming problems, collected after models’ training cut-offs to avoid contamination88.48%#6 of 143—
Vals AI, finance
Tax Agent BenchAgentic research into US corporate tax questions9.29%#62 of 76—
Vals AI, law
Legal Research BenchAgentic US legal research20.67%#62 of 85—
Vals AI, medicine
MedCodeAssigning the right medical billing codes from clinical notes59.06%#2 of 10751.31%#16 of 107
MedQAMedical licensing exam questions, measured on accuracy and on robustness to bias96.37%#3 of 92—
Vals AI, reasoning
GPQA DiamondGraduate-level questions in biology, physics and chemistry that experts answer well and search does not95.45%#1 of 13889.65%#28 of 138
MMLU-ProHarder, reasoning-focused multiple choice across 14 subjects, from law to engineering90.99%#4 of 13887.32%#30 of 138
AIMEProblems from the American Invitational Mathematics Examination, a qualifier for the US Math Olympiad98.13%#1 of 9696.88%#3 of 96
MMMUCollege-level questions that need both an image and text88.21%#10 of 9387.40%#16 of 93
Terminal-Bench ScienceExpert-written scientific research workflows, run by an agent in a terminal1.43%#35 of 42—

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Questions

Which is better, Gemini 3.1 Pro Preview or Muse Spark?

Gemini 3.1 Pro Preview rates higher on LMArena’s text leaderboard: 1480 against 1474. On the 7 Vals AI benchmarks both have taken, Gemini 3.1 Pro Preview wins 7 and Muse Spark wins 0.

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”.