Model Comparison

Gemini 2.0 Flash vs Nemotron Nano 9B v2Which is better in 2026?

Nemotron Nano 9B v2 significantly outperforms across most benchmarks.

Verdict: Gemini 2.0 Flash vs Nemotron Nano 9B v2 — which is better?

Gemini 2.0 Flash (by Google) and Nemotron Nano 9B v2 (by NVIDIA) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemini 2.0 Flash outperforms in 0 benchmarks, while Nemotron Nano 9B v2 is better at 2 benchmarks (GPQA, LiveCodeBench). Nemotron Nano 9B v2 significantly outperforms across most benchmarks.

Choose Gemini 2.0 Flash if…

  • you want predictable pricing at $0.10/M input and $0.40/M output

Choose Nemotron Nano 9B v2 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Aug 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 2.0 Flash outperforms in 0 benchmarks, while Nemotron Nano 9B v2 is better at 2 benchmarks (GPQA, LiveCodeBench).

Nemotron Nano 9B v2 significantly outperforms across most benchmarks.

Tue Jul 28 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 2.0 Flash specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Tue Jul 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash supports multimodal inputs, whereas Nemotron Nano 9B v2 does not.

Gemini 2.0 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash

Text
Images
Audio
Video

Nemotron Nano 9B v2

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 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 2.0 Flash

Proprietary

Closed source

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while Nemotron Nano 9B v2 was released on 2025-08-18.

Nemotron Nano 9B v2 is 9 months newer than Gemini 2.0 Flash.

Gemini 2.0 Flash

Dec 1, 2024

1.7 years ago

Nemotron Nano 9B v2

Aug 18, 2025

11 months ago

8mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a knowledge cutoff of 2024-08-01, while Nemotron Nano 9B v2 has a cutoff of 2024-09-01.

Nemotron Nano 9B v2 has more recent training data (up to 2024-09-01), making it potentially better informed about events through that date compared to Gemini 2.0 Flash (2024-08-01).

Gemini 2.0 Flash

Aug 2024

Nemotron Nano 9B v2

Sep 2024

1 mo newer

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
NVIDIA
Has open weights
Higher GPQA score (64.0% vs 62.1%)
Higher LiveCodeBench score (71.1% vs 35.1%)
GoogleGemini 2.0 Flash
NVIDIANemotron Nano 9B v2
Compare in Playground

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash and Nemotron Nano 9B v2 side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash
✓ Preferred
Nemotron Nano 9B v2
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash
NVIDIA
Nemotron Nano 9B v2

FAQ

Common questions about Gemini 2.0 Flash vs Nemotron Nano 9B v2.

Which is better, Gemini 2.0 Flash or Nemotron Nano 9B v2?

Nemotron Nano 9B v2 significantly outperforms across most benchmarks. Gemini 2.0 Flash is made by Google and Nemotron Nano 9B v2 is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.0 Flash compare to Nemotron Nano 9B v2 in benchmarks?

Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%. 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 2.0 Flash and Nemotron Nano 9B v2?

Gemini 2.0 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 2.0 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 2.0 Flash and Nemotron Nano 9B v2?

Gemini 2.0 Flash is developed by Google and Nemotron Nano 9B v2 is developed by NVIDIA.

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