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Model Comparison

Gemma 3 27B vs Nemotron Nano 9B v2Which is better in 2026?

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

Verdict: Gemma 3 27B vs Nemotron Nano 9B v2 — which is better?

Gemma 3 27B (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.

Gemma 3 27B outperforms in 1 benchmarks (IFEval), while Nemotron Nano 9B v2 is better at 2 benchmarks (GPQA, LiveCodeBench). Nemotron Nano 9B v2 shows notably better performance in the majority of benchmarks.

Choose Gemma 3 27B if…

  • you want predictable pricing at $0.10/M input and $0.20/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

Gemma 3 27B outperforms in 1 benchmarks (IFEval), while Nemotron Nano 9B v2 is better at 2 benchmarks (GPQA, LiveCodeBench).

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

Fri Aug 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

18.1B diff

Gemma 3 27B has 18.1B more parameters than Nemotron Nano 9B v2, making it 203.4% larger.

Google
Gemma 3 27B
27.0Bparameters
NVIDIA
Nemotron Nano 9B v2
8.9Bparameters
27.0B
Gemma 3 27B
8.9B
Nemotron Nano 9B v2

Context Window

Maximum input and output token capacity

Only Gemma 3 27B specifies input context (131,072 tokens). Only Gemma 3 27B specifies output context (131,072 tokens).

Google
Gemma 3 27B
Input131,072 tokens
Output131,072 tokens
NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Fri Aug 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 27B supports multimodal inputs, whereas Nemotron Nano 9B v2 does not.

Gemma 3 27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3 27B

Text
Images
Audio
Video

Nemotron Nano 9B v2

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 27B is licensed under Gemma, 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.

Gemma 3 27B

Gemma

Open weights

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

Gemma 3 27B was released on 2025-03-12, while Nemotron Nano 9B v2 was released on 2025-08-18.

Nemotron Nano 9B v2 is 5 months newer than Gemma 3 27B.

Gemma 3 27B

Mar 12, 2025

1.4 years ago

Nemotron Nano 9B v2

Aug 18, 2025

11 months ago

5mo newer

Knowledge Cutoff

When training data ends

Nemotron Nano 9B v2 has a documented knowledge cutoff of 2024-09-01, while Gemma 3 27B's cutoff date is not specified.

We can confirm Nemotron Nano 9B v2's training data extends to 2024-09-01, but cannot make a direct comparison without Gemma 3 27B's cutoff date.

Gemma 3 27B

—

Nemotron Nano 9B v2

Sep 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (131,072 tokens)
Supports multimodal inputs
Higher IFEval score (90.4% vs 90.3%)
NVIDIA
Higher GPQA score (64.0% vs 42.4%)
Higher LiveCodeBench score (71.1% vs 29.7%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 3 27B and Nemotron Nano 9B v2 side-by-side, then vote on the output you prefer.

Gemma 3 27B
✓ Preferred
Nemotron Nano 9B v2
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 3 27B
NVIDIA
Nemotron Nano 9B v2

FAQ

Common questions about Gemma 3 27B vs Nemotron Nano 9B v2.

Which is better, Gemma 3 27B or Nemotron Nano 9B v2?

Nemotron Nano 9B v2 shows notably better performance in the majority of benchmarks. Gemma 3 27B 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 Gemma 3 27B compare to Nemotron Nano 9B v2 in benchmarks?

Gemma 3 27B scores GSM8k: 95.9%, IFEval: 90.4%, MATH: 89.0%, HumanEval: 87.8%, BIG-Bench Hard: 87.6%. 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 Gemma 3 27B and Nemotron Nano 9B v2?

Gemma 3 27B supports 131K 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 Gemma 3 27B and Nemotron Nano 9B v2?

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

Who makes Gemma 3 27B and Nemotron Nano 9B v2?

Gemma 3 27B is developed by Google and Nemotron Nano 9B v2 is developed by NVIDIA.

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