Model Comparison

Gemini 2.5 Flash vs Nemotron Nano 9B v2

Both models are evenly matched across the benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 2.5 Flash outperforms in 1 benchmarks (GPQA), while Nemotron Nano 9B v2 is better at 1 benchmark (AIME 2025).

Both models are evenly matched across the benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Google
Gemini 2.5 Flash
Input tokens$0.30
Output tokens$2.50
Best providerGoogle
NVIDIA
Nemotron Nano 9B v2
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

Only Gemini 2.5 Flash specifies input context (1,048,576 tokens). Only Gemini 2.5 Flash specifies output context (65,536 tokens).

Google
Gemini 2.5 Flash
Input1,048,576 tokens
Output65,536 tokens
NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Flash supports multimodal inputs, whereas Nemotron Nano 9B v2 does not.

Gemini 2.5 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Flash

Text
Images
Audio
Video

Nemotron Nano 9B v2

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 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 2.5 Flash

Proprietary

Closed source

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Flash was released on 2025-05-20, while Nemotron Nano 9B v2 was released on 2025-08-18.

Nemotron Nano 9B v2 is 3 months newer than Gemini 2.5 Flash.

Gemini 2.5 Flash

May 20, 2025

11 months ago

Nemotron Nano 9B v2

Aug 18, 2025

8 months ago

3mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash has a knowledge cutoff of 2025-01-31, while Nemotron Nano 9B v2 has a cutoff of 2024-09-01.

Gemini 2.5 Flash has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to Nemotron Nano 9B v2 (2024-09-01).

Gemini 2.5 Flash

Jan 2025

4 mo newer
Nemotron Nano 9B v2

Sep 2024

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (82.8% vs 64.0%)
NVIDIA
Has open weights
Higher AIME 2025 score (72.1% vs 72.0%)
GoogleGemini 2.5 Flash
NVIDIANemotron Nano 9B v2
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Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Flash
NVIDIA
Nemotron Nano 9B v2

FAQ

Common questions about Gemini 2.5 Flash vs Nemotron Nano 9B v2

Both models are evenly matched across the benchmarks. Gemini 2.5 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.
Gemini 2.5 Flash scores Global-MMLU-Lite: 88.4%, AIME 2024: 88.0%, FACTS Grounding: 85.3%, GPQA: 82.8%, MMMU: 79.7%. Nemotron Nano 9B v2 scores MATH-500: 97.8%, IFEval: 90.3%, AIME 2025: 72.1%, LiveCodeBench: 71.1%, BFCL_v3_MultiTurn: 66.9%.
Gemini 2.5 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.
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.
Gemini 2.5 Flash is developed by Google and Nemotron Nano 9B v2 is developed by NVIDIA.