Gemini 4 Argon vs Gemini 3.7 Flash

  • Gemini 4 Argon rates higher on LMArena’s text leaderboard: 1526 against 1490.
  • Gemini 3.7 Flash is cheaper: $0.75 / $3.75 per million input / output tokens, against $2 / $10 for Gemini 4 Argon.
  • On the 6 Vals AI benchmarks both have taken, Gemini 4 Argon wins 6 and Gemini 3.7 Flash wins 0.

Side by side

Models (2/6)
  • Gemini 4 Argon
  • Gemini 3.7 Flash
BenchmarkGemini 4 ArgonGemini 3.7 Flash
The model
LabGoogleGoogle
Released2026-10-132026-08-13
WeightsProprietaryProprietary
Context window1M1M
Input, per 1M tokens$2$0.75
Output, per 1M tokens$10$3.75
LMArena, people’s votes
LMArena TextMillions of people compare two anonymous models side by side and vote for the better answer1526#1 of 3511490#14 of 351
LMArena WebDevPeople ask two anonymous models to build the same web app, try both and vote for the better one1674#11 of 1241590#33 of 124
LMArena VisionSide-by-side votes on prompts that include an image—1314#8 of 146
LMArena CodingLMArena’s text votes on prompts that ask for code1539#2 of 3461501#24 of 346
LMArena MathLMArena’s text votes on math prompts1538#1 of 3391510#10 of 339
LMArena Creative writingLMArena’s text votes on stories, poems and other creative writing1523#2 of 3491489#9 of 349
LMArena Hard promptsLMArena’s text votes on the hardest prompts1538#1 of 3511497#15 of 351
LMArena Instruction followingLMArena’s text votes on prompts with specific instructions to follow1528#2 of 3511486#15 of 351
Vals AI, overall
Vals IndexVals AI’s headline score69.24%#3 of 27—
Vals AI, coding
Terminal-Bench 4.0Frontier-difficulty tasks an agent completes in a real terminal57.58%#7 of 5512.12%#37 of 55
SWE-benchReal GitHub issues from open-source projects—80.80%#22 of 85
Vibe Code BenchBuilding complete web apps from a plain-language brief, graded on whether the app works91.91%#2 of 11570.39%#43 of 115
Code MigrationRewriting working programs in a new language, graded on whether the new program still passes its tests70.80%#6 of 28—
LiveCodeBenchFresh competitive programming problems, collected after models’ training cut-offs to avoid contamination—88.65%#5 of 143
Vals AI, finance
Finance AgentThe core tasks of a financial analyst, done as an agent with research tools67.66%#2 of 31—
Finance IndexVals AI’s composite of finance tasks64.89%#2 of 31—
Tax Agent BenchAgentic research into US corporate tax questions44.56%#5 of 7622.80%#44 of 76
Vals AI, law
Legal IndexVals AI’s composite of legal tasks76.72%#2 of 28—
Legal Research BenchAgentic US legal research54.81%#4 of 8534.62%#45 of 85
Vals AI, medicine
MedCodeAssigning the right medical billing codes from clinical notes58.80%#3 of 10753.39%#9 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
MMLU-ProHarder, reasoning-focused multiple choice across 14 subjects, from law to engineering—90.12%#6 of 138
MMMUCollege-level questions that need both an image and text—88.96%#5 of 93
Terminal-Bench ScienceExpert-written scientific research workflows, run by an agent in a terminal44.29%#5 of 427.14%#20 of 42

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Questions

Which is better, Gemini 4 Argon or Gemini 3.7 Flash?

Gemini 4 Argon rates higher on LMArena’s text leaderboard: 1526 against 1490. Gemini 3.7 Flash is cheaper: $0.75 / $3.75 per million input / output tokens, against $2 / $10 for Gemini 4 Argon. On the 6 Vals AI benchmarks both have taken, Gemini 4 Argon wins 6 and Gemini 3.7 Flash wins 0.

Which is cheaper, Gemini 4 Argon or Gemini 3.7 Flash?

Gemini 3.7 Flash is cheaper: $0.75 / $3.75 per million input / output tokens, against $2 / $10 for Gemini 4 Argon.

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”.