Model Comparison

Gemini 2.0 Flash vs Llama-3.3 Nemotron Super 49B v1Which is better in 2026?

Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks.

Verdict: Gemini 2.0 Flash vs Llama-3.3 Nemotron Super 49B v1 — which is better?

Gemini 2.0 Flash (by Google) and Llama-3.3 Nemotron Super 49B v1 (by NVIDIA) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemini 2.0 Flash outperforms in 0 benchmarks, while Llama-3.3 Nemotron Super 49B v1 is better at 1 benchmark (GPQA). Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks.

Choose Gemini 2.0 Flash if…

  • you want predictable pricing at $0.10/M input and $0.40/M output

Choose Llama-3.3 Nemotron Super 49B v1 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Mar 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 2.0 Flash outperforms in 0 benchmarks, while Llama-3.3 Nemotron Super 49B v1 is better at 1 benchmark (GPQA).

Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks.

Sat Jul 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 2.0 Flash specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
NVIDIA
Llama-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash supports multimodal inputs, whereas Llama-3.3 Nemotron Super 49B v1 does not.

Gemini 2.0 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash

Text
Images
Audio
Video

Llama-3.3 Nemotron Super 49B v1

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash is licensed under a proprietary license, while Llama-3.3 Nemotron Super 49B v1 uses Llama 3.1 Community License.

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

Gemini 2.0 Flash

Proprietary

Closed source

Llama-3.3 Nemotron Super 49B v1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18.

Llama-3.3 Nemotron Super 49B v1 is 4 months newer than Gemini 2.0 Flash.

Gemini 2.0 Flash

Dec 1, 2024

1.6 years ago

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.3 years ago

3mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a knowledge cutoff of 2024-08-01, while Llama-3.3 Nemotron Super 49B v1 has a cutoff of 2023-12-31.

Gemini 2.0 Flash has more recent training data (up to 2024-08-01), making it potentially better informed about events through that date compared to Llama-3.3 Nemotron Super 49B v1 (2023-12-31).

Gemini 2.0 Flash

Aug 2024

8 mo newer
Llama-3.3 Nemotron Super 49B v1

Dec 2023

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
NVIDIA
Has open weights
Higher GPQA score (66.7% vs 62.1%)
GoogleGemini 2.0 Flash
NVIDIALlama-3.3 Nemotron Super 49B v1
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Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash and Llama-3.3 Nemotron Super 49B v1 side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash
✓ Preferred
Llama-3.3 Nemotron Super 49B v1
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AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash
NVIDIA
Llama-3.3 Nemotron Super 49B v1

FAQ

Common questions about Gemini 2.0 Flash vs Llama-3.3 Nemotron Super 49B v1.

Which is better, Gemini 2.0 Flash or Llama-3.3 Nemotron Super 49B v1?

Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks. Gemini 2.0 Flash is made by Google and Llama-3.3 Nemotron Super 49B v1 is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.0 Flash compare to Llama-3.3 Nemotron Super 49B v1 in benchmarks?

Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%. Llama-3.3 Nemotron Super 49B v1 scores MATH-500: 96.6%, MT-Bench: 91.7%, MBPP: 91.3%, Arena Hard: 88.3%, BFCL v2: 73.7%.

What are the context window sizes for Gemini 2.0 Flash and Llama-3.3 Nemotron Super 49B v1?

Gemini 2.0 Flash supports 1.0M tokens and Llama-3.3 Nemotron Super 49B v1 supports an unknown number of 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 and Llama-3.3 Nemotron Super 49B v1?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash and Llama-3.3 Nemotron Super 49B v1?

Gemini 2.0 Flash is developed by Google and Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA.

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