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Gemini 3.7 Flash vs Nex-N2-Pro

Gemini 3.7 Flash (Google DeepMind) and Nex-N2-Pro (Nex AGI) compared on benchmarks, pricing, context window, and use-case rankings.

AttributeGemini 3.7 FlashGoogle DeepMind · 1 in the newsNex-N2-ProNex AGI
Scores
Intelligence (ECI)157—
Coding8839
Math73—
Reasoning & Knowledge8258
Agentic & Tools9422
Specifications
DeveloperGoogle DeepMindNex AGI
FamilyGemini—
ReleasedAug 13, 2026Jun 8, 2026
Parameters——
AvailabilityAPI access—
Context window1M262K
Price — $/M input$0.75$0.25
Price — $/M output$3.75$1.00
Inputstext, image, video, file, audiotext, image
Outputstexttext
Benchmarks
AIME 2024/202597%—
APEX68%—
ARC-AGI96%—
ARC-AGI-285%—
GPQA Diamond95%89%
Humanity's Last Exam39%34%
SciCode60%43%
SimpleQA Verified69%—
WebDev Arena1587—
τ²-bench—82%

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 Nex-N2-Pro?

Nex-N2-Pro is cheaper on input tokens at $0.25 per million, versus $0.75 (representative OpenRouter pricing).

Which has a larger context window, Gemini 3.7 Flash or Nex-N2-Pro?

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 Nex-N2-Pro?

Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Gemini 3.7 Flash ranks higher — 88th vs 39th 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.