The AI arena is free today

Open Superagent

Gemma 4 31B vs Nemotron 3.5 Super VL (120B A12B)

Gemma 4 31B and Nemotron 3.5 Super VL (120B A12B) are closely matched at 33.0 and 35.0 on the LLM Stats Score. Gemma 4 31B is 2.6x cheaper per token.

Google · NVIDIA · Updated for 2026

Which is better?

Gemma 4 31B and Nemotron 3.5 Super VL (120B A12B) are closely matched on the overall LLM Stats Score at 33.0 and 35.0.

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 31B is roughly 2.6x 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 31B

  • cost matters — it's about 2.6x cheaper per token

Choose Nemotron 3.5 Super VL (120B A12B)

  • 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 31B
Google
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
33.0
#121
35.0
#108
Reasoning
33.5
#113
36.2
#94
Agents
13.7
#112
16.5
#99
Cost, coverage & limits
Benchmark wins
1 of 4
3 of 4
Input price
$0.09 / 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

4 shared
Index
Gemma 4 31B
Nemotron 3.5 Super VL (120B A12B)
Math
29.5#90
28.1#101
Vision
19.7#89
20.3#86
Long context
16.4#46
22.9#17
Multimodal
22.4#74
22.0#76
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Gemma 4 31B · 19 for Nemotron 3.5 Super VL (120B A12B)

4 shared

Gemma 4 31B 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.

Mon Oct 19 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Gemma 4 31B costs less

For input processing, Gemma 4 31B ($0.09/1M tokens) is 2.2x cheaper than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, Gemma 4 31B ($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 31B.*

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

Lowest available price from all providers
Mon Oct 19 2026 • llm-stats.com
Google
Gemma 4 31B
Input tokens$0.09
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

89.3B diff

Nemotron 3.5 Super VL (120B A12B) has 89.3B more parameters than Gemma 4 31B, making it 290.9% larger.

Google
Gemma 4 31B
30.7Bparameters
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
30.7B
Gemma 4 31B
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 31B
Input262,144 tokens
Output262,144 tokens
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input262,144 tokens
Output262,144 tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 4 31B 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 31B

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 4 31B 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 31B

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 31B 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 31B.

Gemma 4 31B

Apr 2, 2026

6 months ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

4 days ago

6mo newer

Knowledge Cutoff

When training data ends

Gemma 4 31B 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 31B'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 31B

Jan 2025

Nemotron 3.5 Super VL (120B A12B)

—

Provider Availability

Gemma 4 31B is available from DeepInfra, FriendliAI, Novita, Together. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.

Gemma 4 31B

deepinfra logo
Deepinfra
Input Price:Input: $0.09/1MOutput Price:Output: $0.34/1M
friendli logo
FriendliAI
Input Price:Input: $0.14/1MOutput Price:Output: $0.40/1M
novita logo
Novita
Input Price:Input: $0.14/1MOutput Price:Output: $0.40/1M
together logo
Together
Input Price:Input: $0.39/1MOutput Price:Output: $0.97/1M

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 31B and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

Gemma 4 31B
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about Gemma 4 31B vs Nemotron 3.5 Super VL (120B A12B).

Which is better, Gemma 4 31B or Nemotron 3.5 Super VL (120B A12B)?

Gemma 4 31B and Nemotron 3.5 Super VL (120B A12B) are closely matched on the LLM Stats Score at 33.0 and 35.0. Gemma 4 31B 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 31B compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

Gemma 4 31B scores AIME 2026: 89.2%, MMMLU: 88.4%, t2-bench: 86.4%, MathVision: 85.6%, MMLU-Pro: 85.2%. 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 31B cheaper than Nemotron 3.5 Super VL (120B A12B)?

Gemma 4 31B is 2.2x cheaper for input tokens. Gemma 4 31B costs $0.09/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 31B and Nemotron 3.5 Super VL (120B A12B)?

Gemma 4 31B 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 31B and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (33.0 vs 35.0), input pricing ($0.09 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 31B and Nemotron 3.5 Super VL (120B A12B)?

Gemma 4 31B is developed by Google and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

Related comparisons