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Gemini 2.0 Flash Thinking vs Nemotron 3.5 Super VL (120B A12B)

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 16.5.

Google · NVIDIA · Updated for 2026

Which is better?

Nemotron 3.5 Super VL (120B A12B) leads the overall LLM Stats Score 35.0 to 16.5, 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 Gemini 2.0 Flash Thinking

  • 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 — 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
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 2.0 Flash Thinking
Google
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
16.5
#243
35.0
#108
Reasoning
16.8
#236
36.2
#94
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

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 19 for Nemotron 3.5 Super VL (120B A12B)

1 shared

Gemini 2.0 Flash Thinking 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.

Mon Oct 19 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
Gemini 2.0 Flash Thinking
Input- tokens
Output- 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 Gemini 2.0 Flash Thinking 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.

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash Thinking 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.

Gemini 2.0 Flash Thinking

Proprietary

Closed source

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 21 months newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.7 years ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

4 days ago

1.7yr newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while Nemotron 3.5 Super VL (120B A12B)'s cutoff date is not specified.

We can confirm Gemini 2.0 Flash Thinking's training data extends to 2024-08-01, but cannot make a direct comparison without Nemotron 3.5 Super VL (120B A12B)'s cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

Nemotron 3.5 Super VL (120B A12B)

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash Thinking and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Nemotron 3.5 Super VL (120B A12B).

Which is better, Gemini 2.0 Flash Thinking or Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 16.5. Gemini 2.0 Flash Thinking 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 Gemini 2.0 Flash Thinking compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. 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 Gemini 2.0 Flash Thinking and Nemotron 3.5 Super VL (120B A12B)?

Gemini 2.0 Flash Thinking 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 Gemini 2.0 Flash Thinking and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (16.5 vs 35.0), licensing (Proprietary vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and Nemotron 3.5 Super VL (120B A12B)?

Gemini 2.0 Flash Thinking is developed by Google and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

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