The AI arena is free today

Open Superagent

Gemma 4 26B-A4B vs Nemotron 3.5 Super VL (120B A12B)

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 29.4. Gemma 4 26B-A4B is 2.9x 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 29.4, ranking #108 overall.

In the 4 individual benchmarks reported for both models, Nemotron 3.5 Super VL (120B A12B) wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, Gemma 4 26B-A4B is roughly 2.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

Choose Gemma 4 26B-A4B

  • cost matters — it's about 2.9x cheaper per token

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 — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Gemma 4 26B-A4B
Google
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
29.4
#150
35.0
#108
Reasoning
29.0
#145
36.2
#94
Agents
12.7
#120
16.5
#99
Cost, coverage & limits
Benchmark wins
1 of 4
3 of 4
Input price
$0.07 / M
$0.20 / M
Output price
$0.34 / M
$1.00 / M
Context window
262,144
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemma 4 26B-A4B
Nemotron 3.5 Super VL (120B A12B)
Math
25.3#118
28.1#101
Vision
14.7#109
20.3#86
Multimodal
18.8#92
22.0#76
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Gemma 4 26B-A4B · 19 for Nemotron 3.5 Super VL (120B A12B)

4 shared

Gemma 4 26B-A4B outperforms in 1 benchmarks (MathVision), while Nemotron 3.5 Super VL (120B A12B) is better at 3 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench v6).

Nemotron 3.5 Super VL (120B A12B) shows notably better performance in the majority of 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

Gemma 4 26B-A4B costs less

For input processing, Gemma 4 26B-A4B ($0.07/1M tokens) is 2.9x cheaper than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, Gemma 4 26B-A4B ($0.34/1M tokens) is 2.9x cheaper than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).

In conclusion, Nemotron 3.5 Super VL (120B A12B) is more expensive than Gemma 4 26B-A4B.*

* 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 4 26B-A4B
Input tokens$0.07
Output tokens$0.34
Best providerDeepinfra
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

94.8B diff

Nemotron 3.5 Super VL (120B A12B) has 94.8B more parameters than Gemma 4 26B-A4B, making it 376.2% larger.

Google
Gemma 4 26B-A4B
25.2Bparameters
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
25.2B
Gemma 4 26B-A4B
120.0B
Nemotron 3.5 Super VL (120B A12B)

Context Window

Maximum input and output token capacity

Both models have the same input context window of 262,144 tokens. Both models can generate responses up to 262,144 tokens.

Google
Gemma 4 26B-A4B
Input262,144 tokens
Output262,144 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 4 26B-A4B 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 4 26B-A4B

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 4 26B-A4B is licensed under Apache 2.0, 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 4 26B-A4B

Apache 2.0

Open weights

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Gemma 4 26B-A4B was released on 2026-04-02, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 7 months newer than Gemma 4 26B-A4B.

Gemma 4 26B-A4B

Apr 2, 2026

6 months ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

5 days ago

6mo newer

Knowledge Cutoff

When training data ends

Gemma 4 26B-A4B has a documented knowledge cutoff of 2025-01-01, while Nemotron 3.5 Super VL (120B A12B)'s cutoff date is not specified.

We can confirm Gemma 4 26B-A4B's training data extends to 2025-01-01, but cannot make a direct comparison without Nemotron 3.5 Super VL (120B A12B)'s cutoff date.

Gemma 4 26B-A4B

Jan 2025

Nemotron 3.5 Super VL (120B A12B)

—

Provider Availability

Gemma 4 26B-A4B is available from DeepInfra, Novita. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.

Gemma 4 26B-A4B

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.34/1M
novita logo
Novita
Input Price:Input: $0.13/1MOutput Price:Output: $0.40/1M

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 4 26B-A4B and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

Gemma 4 26B-A4B
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about Gemma 4 26B-A4B vs Nemotron 3.5 Super VL (120B A12B).

Which is better, Gemma 4 26B-A4B or Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 29.4. Gemma 4 26B-A4B 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 4 26B-A4B compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

Gemma 4 26B-A4B scores AIME 2026: 88.3%, MMMLU: 86.3%, t2-bench: 85.5%, MMLU-Pro: 82.6%, MathVision: 82.4%. 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 4 26B-A4B cheaper than Nemotron 3.5 Super VL (120B A12B)?

Gemma 4 26B-A4B is 2.9x cheaper for input tokens. Gemma 4 26B-A4B costs $0.07/M input and $0.34/M output via deepinfra. 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 4 26B-A4B and Nemotron 3.5 Super VL (120B A12B)?

Gemma 4 26B-A4B supports 262K 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 4 26B-A4B and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (29.4 vs 35.0), input pricing ($0.07 vs $0.20/M), licensing (Apache 2.0 vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 4 26B-A4B and Nemotron 3.5 Super VL (120B A12B)?

Gemma 4 26B-A4B is developed by Google and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

Related comparisons