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Gemma 3n E4B Instructed vs Nemotron 3.5 Super VL (120B A12B)

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to -5.0. Nemotron 3.5 Super VL (120B A12B) is 62.5x cheaper per token.

Google · NVIDIA · Updated for 2026

Which is better?

Nemotron 3.5 Super VL (120B A12B) leads the overall LLM Stats Score 35.0 to -5.0, 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.

On price, Nemotron 3.5 Super VL (120B A12B) is roughly 62.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Nemotron 3.5 Super VL (120B A12B) also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Gemma 3n E4B Instructed

  • you want predictable pricing at $20.00/M input and $40.00/M output

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
  • cost matters — it's about 62.5x cheaper per token
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemma 3n E4B Instructed
Google
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
-5.0
#374
35.0
#108
Reasoning
-5.8
#373
36.2
#94
Coding
-0.2
#264
21.0
#108
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$20.00 / M
$0.20 / M
Output price
$40.00 / M
$1.00 / M
Context window
32,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 3n E4B Instructed
Nemotron 3.5 Super VL (120B A12B)
Math
-1.8#318
28.1#101
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Gemma 3n E4B Instructed · 19 for Nemotron 3.5 Super VL (120B A12B)

1 shared

Gemma 3n E4B Instructed 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

Pricing Analysis

Price comparison per million tokens

Nemotron 3.5 Super VL (120B A12B) costs less

For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 100.0x more expensive than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 40.0x more expensive than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than Nemotron 3.5 Super VL (120B A12B).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Oct 20 2026 • llm-stats.com
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input tokens$0.20
Output tokens$1.00
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

112.0B diff

Nemotron 3.5 Super VL (120B A12B) has 112.0B more parameters than Gemma 3n E4B Instructed, making it 1400.0% larger.

Google
Gemma 3n E4B Instructed
8.0Bparameters
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
8.0B
Gemma 3n E4B Instructed
120.0B
Nemotron 3.5 Super VL (120B A12B)

Context Window

Maximum input and output token capacity

Nemotron 3.5 Super VL (120B A12B) accepts 262,144 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Nemotron 3.5 Super VL (120B A12B) can generate longer responses up to 262,144 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.

Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 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 E4B Instructed 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 E4B Instructed

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B Instructed is licensed under a proprietary license, 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 E4B Instructed

Proprietary

Closed source

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B Instructed was released on 2025-06-26, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 16 months newer than Gemma 3n E4B Instructed.

Gemma 3n E4B Instructed

Jun 26, 2025

1.3 years ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

5 days ago

1.3yr newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed 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 E4B Instructed'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 E4B Instructed

Jun 2024

Nemotron 3.5 Super VL (120B A12B)

—

Provider Availability

Gemma 3n E4B Instructed is available from Together. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.

Gemma 3n E4B Instructed

together logo
Together
Input Price:Input: $20.00/1MOutput Price:Output: $40.00/1M

Nemotron 3.5 Super VL (120B A12B)

deepinfra logo
Deepinfra
Input Price:Input: $0.20/1MOutput Price:Output: $1.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemma 3n E4B Instructed and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

Gemma 3n E4B Instructed
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about Gemma 3n E4B Instructed vs Nemotron 3.5 Super VL (120B A12B).

Which is better, Gemma 3n E4B Instructed or Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to -5.0. Gemma 3n E4B Instructed 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 E4B Instructed compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%. 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%.

Is Gemma 3n E4B Instructed cheaper than Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) is 100.0x cheaper for input tokens. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together. Nemotron 3.5 Super VL (120B A12B) costs $0.20/M input and $1.00/M output via deepinfra.

What are the context window sizes for Gemma 3n E4B Instructed and Nemotron 3.5 Super VL (120B A12B)?

Gemma 3n E4B Instructed supports 32K 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 E4B Instructed and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (-5.0 vs 35.0), context window (32K vs 262K), input pricing ($20.00 vs $0.20/M), licensing (Proprietary vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E4B Instructed and Nemotron 3.5 Super VL (120B A12B)?

Gemma 3n E4B Instructed is developed by Google and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

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