Gemini 3.7 Flash vs Gemini 3.5 Flash

  • 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 $1.50 / $9 for Gemini 3.5 Flash.
  • On the 11 Vals AI benchmarks both have taken, Gemini 3.7 Flash wins 10 and Gemini 3.5 Flash wins 1 (Gemini 3.7 Flash: Terminal-Bench 4.0, SWE-bench, Vibe Code Bench).
LMArena text rating over time
14701478148514931500May 26Jun 26Aug 26Sep 26Oct 26
LatestGemini 3.5 Flash 1482

Side by side

Models (2/6)
  • Gemini 3.7 Flash
  • Gemini 3.5 Flash
BenchmarkGemini 3.7 FlashGemini 3.5 Flash
The model
LabGoogleGoogle
Released2026-08-132026-05-19
WeightsProprietaryProprietary
Context window1M1M
Input, per 1M tokens$0.75$1.50
Output, per 1M tokens$3.75$9
LMArena, people’s votes
LMArena TextMillions of people compare two anonymous models side by side and vote for the better answer1490#14 of 3511482#18 of 351
LMArena WebDevPeople ask two anonymous models to build the same web app, try both and vote for the better one1590#33 of 1241499#63 of 124
LMArena VisionSide-by-side votes on prompts that include an image1314#8 of 1461308#13 of 146
LMArena CodingLMArena’s text votes on prompts that ask for code1501#24 of 3461493#33 of 346
LMArena MathLMArena’s text votes on math prompts1510#10 of 3391504#12 of 339
LMArena Creative writingLMArena’s text votes on stories, poems and other creative writing1489#9 of 3491470#17 of 349
LMArena Hard promptsLMArena’s text votes on the hardest prompts1497#15 of 3511488#23 of 351
LMArena Instruction followingLMArena’s text votes on prompts with specific instructions to follow1486#15 of 3511467#33 of 351
Vals AI, coding
Terminal-Bench 4.0Frontier-difficulty tasks an agent completes in a real terminal12.12%#37 of 556.06%#45 of 55
SWE-benchReal GitHub issues from open-source projects80.80%#22 of 8578.80%#27 of 85
Vibe Code BenchBuilding complete web apps from a plain-language brief, graded on whether the app works70.39%#43 of 11548.68%#60 of 115
LiveCodeBenchFresh competitive programming problems, collected after models’ training cut-offs to avoid contamination88.65%#5 of 14387.60%#12 of 143
Vals AI, finance
Tax Agent BenchAgentic research into US corporate tax questions22.80%#44 of 7621.65%#47 of 76
Vals AI, law
Legal Research BenchAgentic US legal research34.62%#45 of 8530.77%#49 of 85
Vals AI, medicine
MedCodeAssigning the right medical billing codes from clinical notes53.39%#9 of 10755.83%#6 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 13892.68%#14 of 138
MMLU-ProHarder, reasoning-focused multiple choice across 14 subjects, from law to engineering90.12%#6 of 13889.52%#10 of 138
MMMUCollege-level questions that need both an image and text88.96%#5 of 9388.27%#8 of 93
Terminal-Bench ScienceExpert-written scientific research workflows, run by an agent in a terminal7.14%#20 of 425.71%#21 of 42

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Questions

Which is better, Gemini 3.7 Flash or Gemini 3.5 Flash?

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 $1.50 / $9 for Gemini 3.5 Flash. On the 11 Vals AI benchmarks both have taken, Gemini 3.7 Flash wins 10 and Gemini 3.5 Flash wins 1 (Gemini 3.7 Flash: Terminal-Bench 4.0, SWE-bench, Vibe Code Bench).

Which is cheaper, Gemini 3.7 Flash or Gemini 3.5 Flash?

Gemini 3.7 Flash is cheaper: $0.75 / $3.75 per million input / output tokens, against $1.50 / $9 for Gemini 3.5 Flash.

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”.