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Gemma 3n E2B Instructed LiteRT (Preview) vs Nemotron 3.5 Super VL (120B A12B)

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to -9.9.

Google · NVIDIA · Updated for 2026

Which is better?

Nemotron 3.5 Super VL (120B A12B) leads the overall LLM Stats Score 35.0 to -9.9, ranking #108 overall.

In the 1 individual benchmarks reported for both models, Nemotron 3.5 Super VL (120B A12B) wins 1; 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 3n E2B Instructed LiteRT (Preview)

  • 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 value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Gemma 3n E2B Instructed LiteRT (Preview)
Google
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
-9.9
#389
35.0
#108
Reasoning
-10.1
#382
36.2
#94
Coding
-4.5
#279
21.0
#108
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
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 3n E2B Instructed LiteRT (Preview)
Nemotron 3.5 Super VL (120B A12B)
Math
-6.4#334
28.1#101
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

28 reported for Gemma 3n E2B Instructed LiteRT (Preview) · 19 for Nemotron 3.5 Super VL (120B A12B)

1 shared

Gemma 3n E2B Instructed LiteRT (Preview) outperforms in 0 benchmarks, while Nemotron 3.5 Super VL (120B A12B) is better at 1 benchmark (GPQA).

Nemotron 3.5 Super VL (120B A12B) significantly outperforms across most benchmarks.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

118.1B diff

Nemotron 3.5 Super VL (120B A12B) has 118.1B more parameters than Gemma 3n E2B Instructed LiteRT (Preview), making it 6182.7% larger.

Google
Gemma 3n E2B Instructed LiteRT (Preview)
1.9Bparameters
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
1.9B
Gemma 3n E2B Instructed LiteRT (Preview)
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 3n E2B Instructed LiteRT (Preview)
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

Both Gemma 3n E2B Instructed LiteRT (Preview) and Nemotron 3.5 Super VL (120B A12B) support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 3n E2B Instructed LiteRT (Preview)

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed LiteRT (Preview) 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 3n E2B Instructed LiteRT (Preview)

Gemma

Open weights

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed LiteRT (Preview) was released on 2025-05-20, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 17 months newer than Gemma 3n E2B Instructed LiteRT (Preview).

Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

1.4 years ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

2 days ago

1.4yr newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed LiteRT (Preview) has a documented knowledge cutoff of 2024-06-01, while Nemotron 3.5 Super VL (120B A12B)'s cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed LiteRT (Preview)'s training data extends to 2024-06-01, but cannot make a direct comparison without Nemotron 3.5 Super VL (120B A12B)'s cutoff date.

Gemma 3n E2B Instructed LiteRT (Preview)

Jun 2024

Nemotron 3.5 Super VL (120B A12B)

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemma 3n E2B Instructed LiteRT (Preview) and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

Gemma 3n E2B Instructed LiteRT (Preview)
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about Gemma 3n E2B Instructed LiteRT (Preview) vs Nemotron 3.5 Super VL (120B A12B).

Which is better, Gemma 3n E2B Instructed LiteRT (Preview) or Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to -9.9. Gemma 3n E2B Instructed LiteRT (Preview) 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 3n E2B Instructed LiteRT (Preview) compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

Gemma 3n E2B Instructed LiteRT (Preview) scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. 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 3n E2B Instructed LiteRT (Preview) and Nemotron 3.5 Super VL (120B A12B)?

Gemma 3n E2B Instructed LiteRT (Preview) 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 3n E2B Instructed LiteRT (Preview) and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (-9.9 vs 35.0), licensing (Gemma vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E2B Instructed LiteRT (Preview) and Nemotron 3.5 Super VL (120B A12B)?

Gemma 3n E2B Instructed LiteRT (Preview) is developed by Google and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

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