Gemini 3.8 Flash vs Gemini 3.7 Flash

  • Gemini 3.8 Flash rates higher on LMArena’s text leaderboard: 1498 against 1490.
  • Gemini 3.7 Flash is cheaper: $0.75 / $3.75 per million input / output tokens, against $0.82 / $4.13 for Gemini 3.8 Flash.
  • On the 11 Vals AI benchmarks both have taken, Gemini 3.8 Flash wins 9 and Gemini 3.7 Flash wins 2 (Gemini 3.8 Flash: Terminal-Bench 4.0, Vibe Code Bench, LiveCodeBench).

Side by side

Models (2/6)
  • Gemini 3.8 Flash
  • Gemini 3.7 Flash
BenchmarkGemini 3.8 FlashGemini 3.7 Flash
The model
LabGoogleGoogle
Released2026-09-022026-08-13
WeightsProprietaryProprietary
Context window1M1M
Input, per 1M tokens$0.82$0.75
Output, per 1M tokens$4.13$3.75
LMArena, people’s votes
LMArena TextMillions of people compare two anonymous models side by side and vote for the better answer1498#8 of 3511490#14 of 351
LMArena WebDevPeople ask two anonymous models to build the same web app, try both and vote for the better one1585#36 of 1241590#33 of 124
LMArena VisionSide-by-side votes on prompts that include an image1315#7 of 1461314#8 of 146
LMArena CodingLMArena’s text votes on prompts that ask for code1508#17 of 3461501#24 of 346
LMArena MathLMArena’s text votes on math prompts1532#4 of 3391510#10 of 339
LMArena Creative writingLMArena’s text votes on stories, poems and other creative writing1489#8 of 3491489#9 of 349
LMArena Hard promptsLMArena’s text votes on the hardest prompts1509#9 of 3511497#15 of 351
LMArena Instruction followingLMArena’s text votes on prompts with specific instructions to follow1492#11 of 3511486#15 of 351
Vals AI, overall
Vals IndexVals AI’s headline score55.95%#15 of 27—
Vals AI, coding
Terminal-Bench 4.0Frontier-difficulty tasks an agent completes in a real terminal19.70%#31 of 5512.12%#37 of 55
SWE-benchReal GitHub issues from open-source projects80.00%#23 of 8580.80%#22 of 85
Vibe Code BenchBuilding complete web apps from a plain-language brief, graded on whether the app works78.65%#29 of 11570.39%#43 of 115
Code MigrationRewriting working programs in a new language, graded on whether the new program still passes its tests38.65%#22 of 28—
LiveCodeBenchFresh competitive programming problems, collected after models’ training cut-offs to avoid contamination89.48%#3 of 14388.65%#5 of 143
Vals AI, finance
Finance AgentThe core tasks of a financial analyst, done as an agent with research tools65.76%#5 of 31—
Finance IndexVals AI’s composite of finance tasks60.46%#9 of 31—
Tax Agent BenchAgentic research into US corporate tax questions32.12%#21 of 7622.80%#44 of 76
Vals AI, law
Legal IndexVals AI’s composite of legal tasks69.78%#14 of 28—
Legal Research BenchAgentic US legal research38.94%#34 of 8534.62%#45 of 85
Vals AI, medicine
MedCodeAssigning the right medical billing codes from clinical notes48.13%#31 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 not94.44%#4 of 13893.94%#5 of 138
MMLU-ProHarder, reasoning-focused multiple choice across 14 subjects, from law to engineering90.22%#5 of 13890.12%#6 of 138
MMMUCollege-level questions that need both an image and text89.08%#4 of 9388.96%#5 of 93
Terminal-Bench ScienceExpert-written scientific research workflows, run by an agent in a terminal8.57%#19 of 427.14%#20 of 42

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Questions

Which is better, Gemini 3.8 Flash or Gemini 3.7 Flash?

Gemini 3.8 Flash rates higher on LMArena’s text leaderboard: 1498 against 1490. Gemini 3.7 Flash is cheaper: $0.75 / $3.75 per million input / output tokens, against $0.82 / $4.13 for Gemini 3.8 Flash. On the 11 Vals AI benchmarks both have taken, Gemini 3.8 Flash wins 9 and Gemini 3.7 Flash wins 2 (Gemini 3.8 Flash: Terminal-Bench 4.0, Vibe Code Bench, LiveCodeBench).

Which is cheaper, Gemini 3.8 Flash or Gemini 3.7 Flash?

Gemini 3.7 Flash is cheaper: $0.75 / $3.75 per million input / output tokens, against $0.82 / $4.13 for Gemini 3.8 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”.