Model Comparison

Gemini 2.5 Flash-Lite vs Nemotron Nano 9B v2Which is better in 2026?

Nemotron Nano 9B v2 shows notably better performance in the majority of benchmarks.

Verdict: Gemini 2.5 Flash-Lite vs Nemotron Nano 9B v2 — which is better?

Gemini 2.5 Flash-Lite (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 2.5 Flash-Lite outperforms in 1 benchmarks (GPQA), while Nemotron Nano 9B v2 is better at 2 benchmarks (AIME 2025, LiveCodeBench). Nemotron Nano 9B v2 shows notably better performance in the majority of benchmarks.

Choose Gemini 2.5 Flash-Lite 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 3 shared benchmarks
  • you want the most recent training data — it shipped Aug 2025

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 2.5 Flash-Lite outperforms in 1 benchmarks (GPQA), while Nemotron Nano 9B v2 is better at 2 benchmarks (AIME 2025, LiveCodeBench).

Nemotron Nano 9B v2 shows notably better performance in the majority of benchmarks.

Sat Jun 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

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

Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Gemini 2.5 Flash-Lite

Text
Images
Audio
Video

Nemotron Nano 9B v2

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 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-Lite

Creative Commons Attribution 4.0 License

Open weights

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Flash-Lite was released on 2025-06-17, while Nemotron Nano 9B v2 was released on 2025-08-18.

Nemotron Nano 9B v2 is 2 months newer than Gemini 2.5 Flash-Lite.

Gemini 2.5 Flash-Lite

Jun 17, 2025

1.0 years ago

Nemotron Nano 9B v2

Aug 18, 2025

10 months ago

2mo newer

Knowledge Cutoff

When training data ends

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

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

Gemini 2.5 Flash-Lite

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 (64.6% vs 64.0%)
NVIDIA
Higher AIME 2025 score (72.1% vs 49.8%)
Higher LiveCodeBench score (71.1% vs 33.7%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 2.5 Flash-Lite and Nemotron Nano 9B v2 side-by-side, then vote on the output you prefer.

Gemini 2.5 Flash-Lite
✓ Preferred
Nemotron Nano 9B v2
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 2.5 Flash-Lite
NVIDIA
Nemotron Nano 9B v2

FAQ

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

Which is better, Gemini 2.5 Flash-Lite or Nemotron Nano 9B v2?

Nemotron Nano 9B v2 shows notably better performance in the majority of benchmarks. Gemini 2.5 Flash-Lite 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 2.5 Flash-Lite compare to Nemotron Nano 9B v2 in benchmarks?

Gemini 2.5 Flash-Lite scores FACTS Grounding: 84.1%, Global-MMLU-Lite: 81.1%, MMMU: 72.9%, GPQA: 64.6%, Vibe-Eval: 51.3%. 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 2.5 Flash-Lite and Nemotron Nano 9B v2?

Gemini 2.5 Flash-Lite 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 2.5 Flash-Lite and Nemotron Nano 9B v2?

Key differences include multimodal support (yes vs no), licensing (Creative Commons Attribution 4.0 License vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Flash-Lite and Nemotron Nano 9B v2?

Gemini 2.5 Flash-Lite is developed by Google and Nemotron Nano 9B v2 is developed by NVIDIA.

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