Model Comparison

Gemini 1.5 Flash 8B 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 1.5 Flash 8B vs Llama-3.3 Nemotron Super 49B v1 — which is better?

Gemini 1.5 Flash 8B (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 1.5 Flash 8B 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 1.5 Flash 8B if…

  • you want predictable pricing at $0.07/M input and $0.30/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
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 1.5 Flash 8B 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 Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

41.9B diff

Llama-3.3 Nemotron Super 49B v1 has 41.9B more parameters than Gemini 1.5 Flash 8B, making it 523.8% larger.

Google
Gemini 1.5 Flash 8B
8.0Bparameters
NVIDIA
Llama-3.3 Nemotron Super 49B v1
49.9Bparameters
8.0B
Gemini 1.5 Flash 8B
49.9B
Llama-3.3 Nemotron Super 49B v1

Context Window

Maximum input and output token capacity

Only Gemini 1.5 Flash 8B specifies input context (1,048,576 tokens). Only Gemini 1.5 Flash 8B specifies output context (8,192 tokens).

Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
NVIDIA
Llama-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Flash 8B supports multimodal inputs, whereas Llama-3.3 Nemotron Super 49B v1 does not.

Gemini 1.5 Flash 8B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Flash 8B

Text
Images
Audio
Video

Llama-3.3 Nemotron Super 49B v1

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Flash 8B 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 1.5 Flash 8B

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 1.5 Flash 8B was released on 2024-03-15, while Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18.

Llama-3.3 Nemotron Super 49B v1 is 12 months newer than Gemini 1.5 Flash 8B.

Gemini 1.5 Flash 8B

Mar 15, 2024

2.2 years ago

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.2 years ago

1.0yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a knowledge cutoff of 2024-10-01, while Llama-3.3 Nemotron Super 49B v1 has a cutoff of 2023-12-31.

Gemini 1.5 Flash 8B has more recent training data (up to 2024-10-01), making it potentially better informed about events through that date compared to Llama-3.3 Nemotron Super 49B v1 (2023-12-31).

Gemini 1.5 Flash 8B

Oct 2024

10 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 38.4%)
GoogleGemini 1.5 Flash 8B
NVIDIALlama-3.3 Nemotron Super 49B v1
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Flash 8B
NVIDIA
Llama-3.3 Nemotron Super 49B v1

FAQ

Common questions about Gemini 1.5 Flash 8B vs Llama-3.3 Nemotron Super 49B v1.

Which is better, Gemini 1.5 Flash 8B or Llama-3.3 Nemotron Super 49B v1?

Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks. Gemini 1.5 Flash 8B 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 1.5 Flash 8B compare to Llama-3.3 Nemotron Super 49B v1 in benchmarks?

Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%. 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 1.5 Flash 8B and Llama-3.3 Nemotron Super 49B v1?

Gemini 1.5 Flash 8B 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 1.5 Flash 8B 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 1.5 Flash 8B and Llama-3.3 Nemotron Super 49B v1?

Gemini 1.5 Flash 8B is developed by Google and Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA.

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