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Gemma 3 27B vs Nemotron Nano 9B v2

Nemotron Nano 9B v2 leads the LLM Stats Score 17.8 to 7.7.

Google · NVIDIA · Updated for 2026

Which is better?

Nemotron Nano 9B v2 leads the overall LLM Stats Score 17.8 to 7.7, ranking #254 overall.

In the 3 individual benchmarks reported for both models, Nemotron Nano 9B v2 wins 2; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemma 3 27B

  • you want predictable pricing at $0.08/M input and $0.16/M output

Choose Nemotron Nano 9B v2

  • overall performance matters — it scores 17.8 and ranks #254 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you want the most recent training data — it shipped Aug 2025

At a glance

The differences that matter most.

Gemma 3 27B
Google
Nemotron Nano 9B v2
NVIDIA
Core performance indexes
LLM Stats Score
7.7
#323
17.8
#254
Reasoning
8.1
#313
16.6
#252
Coding
5.2
#237
14.3
#166
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
$0.08 / M
— / M
Output price
$0.16 / M
— / M
Context window
131,072
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 3 27B
Nemotron Nano 9B v2
Math
17.3#213
16.4#223
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

27 reported for Gemma 3 27B · 6 for Nemotron Nano 9B v2

3 shared

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.

Wed Nov 11 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground 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
Wed Nov 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

1.7 years ago

Nemotron Nano 9B v2

Aug 18, 2025

1.2 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?

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 leads the LLM Stats Score 17.8 to 7.7. 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 capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (7.7 vs 17.8), 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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