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Gemma 2 9B vs Nemotron 3.5 Super VL (120B A12B)

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to -5.2.

Google · NVIDIA · Updated for 2026

Which is better?

Nemotron 3.5 Super VL (120B A12B) leads the overall LLM Stats Score 35.0 to -5.2, ranking #108 overall.

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

Choose Gemma 2 9B

  • you are already invested in the Google ecosystem

Choose Nemotron 3.5 Super VL (120B A12B)

  • overall performance matters — it scores 35.0 and ranks #108 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Gemma 2 9B
Google
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
-5.2
#378
35.0
#108
Reasoning
-5.5
#371
36.2
#94
Coding
-11.1
#288
21.0
#108
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.20 / M
Output price
— / M
$1.00 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 2 9B
Nemotron 3.5 Super VL (120B A12B)
Math
-3.8#326
28.1#101
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 9B · 19 for Nemotron 3.5 Super VL (120B A12B)

No common benchmarks found

Gemma 2 9B and Nemotron 3.5 Super VL (120B A12B)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

110.8B diff

Nemotron 3.5 Super VL (120B A12B) has 110.8B more parameters than Gemma 2 9B, making it 1198.7% larger.

Google
Gemma 2 9B
9.2Bparameters
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
9.2B
Gemma 2 9B
120.0B
Nemotron 3.5 Super VL (120B A12B)

Context Window

Maximum input and output token capacity

Only Nemotron 3.5 Super VL (120B A12B) specifies input context (262,144 tokens). Only Nemotron 3.5 Super VL (120B A12B) specifies output context (262,144 tokens).

Google
Gemma 2 9B
Input- tokens
Output- tokens
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input262,144 tokens
Output262,144 tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Nemotron 3.5 Super VL (120B A12B) supports multimodal inputs, whereas Gemma 2 9B does not.

Nemotron 3.5 Super VL (120B A12B) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 2 9B

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while Nemotron 3.5 Super VL (120B A12B) uses OpenMDW License v1.1.

License differences may affect how you can use these models in commercial or open-source projects.

Gemma 2 9B

Gemma

Open weights

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 28 months newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

2.3 years ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

2 days ago

2.3yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemma 2 9B and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

Gemma 2 9B
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about Gemma 2 9B vs Nemotron 3.5 Super VL (120B A12B).

Which is better, Gemma 2 9B or Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to -5.2. Gemma 2 9B is made by Google and Nemotron 3.5 Super VL (120B A12B) 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 2 9B compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. Nemotron 3.5 Super VL (120B A12B) scores GPQA: 89.5%, LiveCodeBench v6: 88.2%, CharXiv-R: 80.8%, MathVision: 78.2%, BrowseComp: 78.0%.

What are the context window sizes for Gemma 2 9B and Nemotron 3.5 Super VL (120B A12B)?

Gemma 2 9B supports an unknown number of tokens and Nemotron 3.5 Super VL (120B A12B) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 2 9B and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (-5.2 vs 35.0), multimodal support (no vs yes), licensing (Gemma vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 9B and Nemotron 3.5 Super VL (120B A12B)?

Gemma 2 9B is developed by Google and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

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