Gemini 3.7 Flash vs Muse Spark 1.2

  • Gemini 3.7 Flash rates higher on LMArena’s text leaderboard: 1490 against 1482.
  • Gemini 3.7 Flash is cheaper: $0.75 / $3.75 per million input / output tokens, against $1.25 / $4.25 for Muse Spark 1.2.
  • On the 8 Vals AI benchmarks both have taken, Gemini 3.7 Flash wins 4 and Muse Spark 1.2 wins 4 (Gemini 3.7 Flash: Terminal-Bench 4.0, MedCode, MMLU-Pro).
LMArena text rating over time
14701478148514931500Aug 6Aug 25Sep 13Oct 2Oct 22
LatestMuse Spark 1.2 1482

Side by side

Models (2/6)
  • Gemini 3.7 Flash
  • Muse Spark 1.2
BenchmarkGemini 3.7 FlashMuse Spark 1.2
The model
LabGoogleMeta
Released2026-08-132026-08-05
WeightsProprietaryProprietary
Context window1M1M
Input, per 1M tokens$0.75$1.25
Output, per 1M tokens$3.75$4.25
LMArena, people’s votes
LMArena TextMillions of people compare two anonymous models side by side and vote for the better answer1490#14 of 3511482#17 of 351
LMArena WebDevPeople ask two anonymous models to build the same web app, try both and vote for the better one1590#33 of 1241533#52 of 124
LMArena VisionSide-by-side votes on prompts that include an image1314#8 of 1461304#17 of 146
LMArena CodingLMArena’s text votes on prompts that ask for code1501#24 of 3461505#18 of 346
LMArena MathLMArena’s text votes on math prompts1510#10 of 3391483#31 of 339
LMArena Creative writingLMArena’s text votes on stories, poems and other creative writing1489#9 of 3491435#56 of 349
LMArena Hard promptsLMArena’s text votes on the hardest prompts1497#15 of 3511490#20 of 351
LMArena Instruction followingLMArena’s text votes on prompts with specific instructions to follow1486#15 of 3511463#39 of 351
Vals AI, coding
Terminal-Bench 4.0Frontier-difficulty tasks an agent completes in a real terminal12.12%#37 of 556.06%#46 of 55
SWE-benchReal GitHub issues from open-source projects80.80%#22 of 8586.60%#14 of 85
Vibe Code BenchBuilding complete web apps from a plain-language brief, graded on whether the app works70.39%#43 of 11579.10%#27 of 115
LiveCodeBenchFresh competitive programming problems, collected after models’ training cut-offs to avoid contamination88.65%#5 of 143—
Vals AI, finance
Tax Agent BenchAgentic research into US corporate tax questions22.80%#44 of 7632.80%#17 of 76
Vals AI, law
Legal Research BenchAgentic US legal research34.62%#45 of 8543.75%#22 of 85
Vals AI, medicine
MedCodeAssigning the right medical billing codes from clinical notes53.39%#9 of 10749.35%#24 of 107
Vals AI, reasoning
GPQA DiamondGraduate-level questions in biology, physics and chemistry that experts answer well and search does not93.94%#5 of 138—
MMLU-ProHarder, reasoning-focused multiple choice across 14 subjects, from law to engineering90.12%#6 of 13888.28%#20 of 138
MMMUCollege-level questions that need both an image and text88.96%#5 of 9386.13%#22 of 93
Terminal-Bench ScienceExpert-written scientific research workflows, run by an agent in a terminal7.14%#20 of 42—

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Questions

Which is better, Gemini 3.7 Flash or Muse Spark 1.2?

Gemini 3.7 Flash rates higher on LMArena’s text leaderboard: 1490 against 1482. Gemini 3.7 Flash is cheaper: $0.75 / $3.75 per million input / output tokens, against $1.25 / $4.25 for Muse Spark 1.2. On the 8 Vals AI benchmarks both have taken, Gemini 3.7 Flash wins 4 and Muse Spark 1.2 wins 4 (Gemini 3.7 Flash: Terminal-Bench 4.0, MedCode, MMLU-Pro).

Which is cheaper, Gemini 3.7 Flash or Muse Spark 1.2?

Gemini 3.7 Flash is cheaper: $0.75 / $3.75 per million input / output tokens, against $1.25 / $4.25 for Muse Spark 1.2.

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”.