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Step 5 PreviewGemini 3.7 Flash vs Muse Spark
- Gemini 3.7 Flash rates higher on LMArena’s text leaderboard: 1490 against 1474.
- On the 6 Vals AI benchmarks both have taken, Gemini 3.7 Flash wins 6 and Muse Spark wins 0.
LatestMuse Spark 1474
Side by side
Models (2/6)
- Gemini 3.7 Flash
- Muse Spark
| Benchmark | Gemini 3.7 Flash | Muse Spark |
|---|---|---|
| The model | ||
| Lab | Meta | |
| Released | 2026-08-13 | — |
| Weights | Proprietary | Proprietary |
| Context window | 1M | — |
| Input, per 1M tokens | $0.75 | — |
| Output, per 1M tokens | $3.75 | — |
| LMArena, people’s votes | ||
| LMArena TextMillions of people compare two anonymous models side by side and vote for the better answer | 1490#14 of 351 | 1474#26 of 351 |
| LMArena WebDevPeople ask two anonymous models to build the same web app, try both and vote for the better one | 1590#33 of 124 | — |
| LMArena VisionSide-by-side votes on prompts that include an image | 1314#8 of 146 | 1306#15 of 146 |
| LMArena CodingLMArena’s text votes on prompts that ask for code | 1501#24 of 346 | 1481#56 of 346 |
| LMArena MathLMArena’s text votes on math prompts | 1510#10 of 339 | 1456#65 of 339 |
| LMArena Creative writingLMArena’s text votes on stories, poems and other creative writing | 1489#9 of 349 | 1459#26 of 349 |
| LMArena Hard promptsLMArena’s text votes on the hardest prompts | 1497#15 of 351 | 1474#41 of 351 |
| LMArena Instruction followingLMArena’s text votes on prompts with specific instructions to follow | 1486#15 of 351 | 1443#58 of 351 |
| Vals AI, coding | ||
| Terminal-Bench 4.0Frontier-difficulty tasks an agent completes in a real terminal | 12.12%#37 of 55 | — |
| SWE-benchReal GitHub issues from open-source projects | 80.80%#22 of 85 | 74.40%#45 of 85 |
| Vibe Code BenchBuilding complete web apps from a plain-language brief, graded on whether the app works | 70.39%#43 of 115 | 19.67%#84 of 115 |
| LiveCodeBenchFresh competitive programming problems, collected after models’ training cut-offs to avoid contamination | 88.65%#5 of 143 | — |
| Vals AI, finance | ||
| Tax Agent BenchAgentic research into US corporate tax questions | 22.80%#44 of 76 | — |
| Vals AI, law | ||
| Legal Research BenchAgentic US legal research | 34.62%#45 of 85 | — |
| Vals AI, medicine | ||
| MedCodeAssigning the right medical billing codes from clinical notes | 53.39%#9 of 107 | 51.31%#16 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 | 89.65%#28 of 138 |
| MMLU-ProHarder, reasoning-focused multiple choice across 14 subjects, from law to engineering | 90.12%#6 of 138 | 87.32%#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 text | 88.96%#5 of 93 | 87.40%#16 of 93 |
| Terminal-Bench ScienceExpert-written scientific research workflows, run by an agent in a terminal | 7.14%#20 of 42 | — |
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Questions
Which is better, Gemini 3.7 Flash or Muse Spark?
Gemini 3.7 Flash rates higher on LMArena’s text leaderboard: 1490 against 1474. On the 6 Vals AI benchmarks both have taken, Gemini 3.7 Flash wins 6 and Muse Spark wins 0.