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Gemma 3 27B vs Nemotron Nano 9B v2

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

Google · NVIDIA · Updated for 2026

Which is better?

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.

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

Choose Gemma 3 27B

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

Choose Nemotron Nano 9B v2

  • 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

At a glance

The differences that matter most.

Benchmark wins
1 of 3
2 of 3
Input price
$0.10 / M
— / M
Output price
$0.20 / M
— / M
Context window
131,072
Released
Mar 2025
Aug 2025
License
Gemma
NVIDIA Open Model License Agreement

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.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

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
Tue Aug 25 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

1.5 years ago

Nemotron Nano 9B v2

Aug 18, 2025

1.0 years 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

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

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.