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Gemini 3.7 Flash vs Nemotron 3.5 Lightning

Gemini 3.7 Flash (Google DeepMind) and Nemotron 3.5 Lightning (NVIDIA) compared on benchmarks, pricing, context window, and use-case rankings.

AttributeGemini 3.7 FlashGoogle DeepMind · 1 in the newsNemotron 3.5 LightningNVIDIA · 1 in the news
Scores
Intelligence (ECI)157—
Coding887
Math73—
Reasoning & Knowledge8210
Agentic & Tools94—
Specifications
DeveloperGoogle DeepMindNVIDIA
FamilyGeminiNemotron
ReleasedAug 13, 2026Aug 11, 2026
Parameters——
AvailabilityAPI access—
Context window1M262K
Price — $/M input$0.75$0.06
Price — $/M output$3.75$0.16
Inputstext, image, video, file, audiotext
Outputstexttext
Benchmarks
AIME 2024/202597%—
APEX68%—
ARC-AGI96%—
ARC-AGI-285%—
GPQA Diamond95%74%
Humanity's Last Exam39%11%
SciCode60%32%
SimpleQA Verified69%—
WebDev Arena1587—

Use-case scores are 0–100 percentile composites across each area’s benchmarks, ranked against every model from the past year. Highlighted cells lead each row. Open a model for the full picture.

Frequently asked questions

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

Nemotron 3.5 Lightning is cheaper on input tokens at $0.06 per million, versus $0.75 (representative OpenRouter pricing).

Which has a larger context window, Gemini 3.7 Flash or Nemotron 3.5 Lightning?

Gemini 3.7 Flash supports up to 1M tokens, compared with 262K for the other.

Which is better for coding, Gemini 3.7 Flash or Nemotron 3.5 Lightning?

Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Gemini 3.7 Flash ranks higher — 88th vs 7th percentile among the models tracked on Model Beat.

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Benchmarks & model data from Epoch AI (CC BY); pricing & specs from OpenRouter. ECI = Epoch Capabilities Index.