Model Comparison

Gemini 3.1 Pro vs Nemotron 3 Super (120B A12B)

Gemini 3.1 Pro significantly outperforms across most benchmarks. Nemotron 3 Super (120B A12B) is 28.1x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Gemini 3.1 Pro outperforms in 6 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, SciCode, SWE-Bench Verified, Terminal-Bench 2.0), while Nemotron 3 Super (120B A12B) is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Fri May 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Nemotron 3 Super (120B A12B) costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 25.0x more expensive than Nemotron 3 Super (120B A12B) ($0.10/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 30.0x more expensive than Nemotron 3 Super (120B A12B) ($0.50/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than Nemotron 3 Super (120B A12B).*

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

Lowest available price from all providers
Fri May 01 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
NVIDIA
Nemotron 3 Super (120B A12B)
Input tokens$0.10
Output tokens$0.50
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.1 Pro accepts 1,048,576 input tokens compared to Nemotron 3 Super (120B A12B)'s 262,144 tokens. Nemotron 3 Super (120B A12B) can generate longer responses up to 262,144 tokens, while Gemini 3.1 Pro is limited to 65,536 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
NVIDIA
Nemotron 3 Super (120B A12B)
Input262,144 tokens
Output262,144 tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Pro supports multimodal inputs, whereas Nemotron 3 Super (120B A12B) does not.

Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.1 Pro

Text
Images
Audio
Video

Nemotron 3 Super (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while Nemotron 3 Super (120B A12B) uses NVIDIA Open Model License Agreement .

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

Gemini 3.1 Pro

Proprietary

Closed source

Nemotron 3 Super (120B A12B)

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Nemotron 3 Super (120B A12B) was released on 2026-03-11.

Nemotron 3 Super (120B A12B) is 1 month newer than Gemini 3.1 Pro.

Gemini 3.1 Pro

Feb 19, 2026

2 months ago

Nemotron 3 Super (120B A12B)

Mar 11, 2026

1 months ago

2w newer

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a knowledge cutoff of 2025-01-31, while Nemotron 3 Super (120B A12B) has a cutoff of 2025-06-01.

Nemotron 3 Super (120B A12B) has more recent training data (up to 2025-06-01), making it potentially better informed about events through that date compared to Gemini 3.1 Pro (2025-01-31).

Gemini 3.1 Pro

Jan 2025

Nemotron 3 Super (120B A12B)

Jun 2025

5 mo newer

Provider Availability

Gemini 3.1 Pro is available from Google. Nemotron 3 Super (120B A12B) is available from DeepInfra.

Gemini 3.1 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

Nemotron 3 Super (120B A12B)

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher BrowseComp score (85.9% vs 31.3%)
Higher GPQA score (94.3% vs 82.7%)
Higher Humanity's Last Exam score (51.4% vs 22.8%)
Higher SciCode score (59.0% vs 42.0%)
Higher SWE-Bench Verified score (80.6% vs 53.7%)
Higher Terminal-Bench 2.0 score (68.5% vs 31.0%)
NVIDIA
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
NVIDIA
Nemotron 3 Super (120B A12B)

FAQ

Common questions about Gemini 3.1 Pro vs Nemotron 3 Super (120B A12B)

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and Nemotron 3 Super (120B A12B) is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. Nemotron 3 Super (120B A12B) scores HMMT 2025: 94.7%, RULER: 91.8%, AIME 2025: 90.2%, WMT24++: 86.7%, MMLU-Pro: 83.7%.
Nemotron 3 Super (120B A12B) is 25.0x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. Nemotron 3 Super (120B A12B) costs $0.10/M input and $0.50/M output via deepinfra.
Gemini 3.1 Pro supports 1.0M tokens and Nemotron 3 Super (120B A12B) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 262K), input pricing ($2.50 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.
Gemini 3.1 Pro is developed by Google and Nemotron 3 Super (120B A12B) is developed by NVIDIA.