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Gemini 3.7 Flash vs Nemotron Nano 9B v2

Comparing Gemini 3.7 Flash and Nemotron Nano 9B v2 across benchmarks, pricing, and capabilities.

Google · NVIDIA · Updated for 2026

Which is better?

Gemini 3.7 Flash and Nemotron Nano 9B v2 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemini 3.7 Flash

  • you want the most recent training data — it shipped Aug 2026

Choose Nemotron Nano 9B v2

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 3.7 Flash
Google
Nemotron Nano 9B v2
NVIDIA
Benchmark wins
—
—
Input price
$0.75 / M
— / M
Output price
$3.75 / M
— / M
Context window
1,048,576
—
Released
Aug 2026
Aug 2025
License
Proprietary
NVIDIA Open Model License Agreement

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.7 Flash and Nemotron Nano 9B v2don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only Gemini 3.7 Flash specifies input context (1,048,576 tokens). Only Gemini 3.7 Flash specifies output context (65,536 tokens).

Google
Gemini 3.7 Flash
Input1,048,576 tokens
Output65,536 tokens
NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.7 Flash supports multimodal inputs, whereas Nemotron Nano 9B v2 does not.

Gemini 3.7 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.7 Flash

Text
Images
Audio
Video

Nemotron Nano 9B v2

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.7 Flash is licensed under a proprietary license, while Nemotron Nano 9B v2 uses NVIDIA Open Model License Agreement .

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 3.7 Flash

Proprietary

Closed source

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

Gemini 3.7 Flash was released on 2026-08-13, while Nemotron Nano 9B v2 was released on 2025-08-18.

Gemini 3.7 Flash is 12 months newer than Nemotron Nano 9B v2.

Gemini 3.7 Flash

Aug 13, 2026

1 weeks ago

12mo newer
Nemotron Nano 9B v2

Aug 18, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

Gemini 3.7 Flash has a knowledge cutoff of 2026-03-31, while Nemotron Nano 9B v2 has a cutoff of 2024-09-01.

Gemini 3.7 Flash has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to Nemotron Nano 9B v2 (2024-09-01).

Gemini 3.7 Flash

Mar 2026

1.5 yr newer
Nemotron Nano 9B v2

Sep 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.7 Flash and Nemotron Nano 9B v2 side-by-side, then vote on the output you prefer.

Gemini 3.7 Flash
✓ Preferred
Nemotron Nano 9B v2
Open in Playground

FAQ

Common questions about Gemini 3.7 Flash vs Nemotron Nano 9B v2.

Which is better, Gemini 3.7 Flash or Nemotron Nano 9B v2?

Gemini 3.7 Flash (Google) and Nemotron Nano 9B v2 (NVIDIA) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.7 Flash compare to Nemotron Nano 9B v2 in benchmarks?

Gemini 3.7 Flash scores MRCR v2 (8-needle): 97.0%, Harvey LAB-AA: 90.7%, CharXiv-R: 88.7%, Terminal-Bench 2.1: 85.8%, LVBench: 85.4%. Nemotron Nano 9B v2 scores MATH-500: 97.8%, IFEval: 90.3%, AIME 2025: 72.1%, LiveCodeBench: 71.1%, BFCL_v3_MultiTurn: 66.9%.

What are the context window sizes for Gemini 3.7 Flash and Nemotron Nano 9B v2?

Gemini 3.7 Flash supports 1.0M tokens and Nemotron Nano 9B v2 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.7 Flash and Nemotron Nano 9B v2?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.7 Flash and Nemotron Nano 9B v2?

Gemini 3.7 Flash is developed by Google and Nemotron Nano 9B v2 is developed by NVIDIA.

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