Model Comparison

Gemini 2.5 Flash-Lite vs Llama 3.1 Nemotron 70B InstructWhich is better in 2026?

Comparing Gemini 2.5 Flash-Lite and Llama 3.1 Nemotron 70B Instruct across benchmarks, pricing, and capabilities.

Verdict: Gemini 2.5 Flash-Lite vs Llama 3.1 Nemotron 70B Instruct — which is better?

Gemini 2.5 Flash-Lite (by Google) and Llama 3.1 Nemotron 70B Instruct (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.

Choose Gemini 2.5 Flash-Lite if…

  • you want the most recent training data — it shipped Jun 2025

Choose Llama 3.1 Nemotron 70B Instruct if…

  • you are already invested in the NVIDIA ecosystem
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 2.5 Flash-Lite and Llama 3.1 Nemotron 70B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 2.5 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 2.5 Flash-Lite specifies output context (65,536 tokens).

Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
NVIDIA
Llama 3.1 Nemotron 70B Instruct
Input- tokens
Output- tokens
Fri Jun 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Flash-Lite supports multimodal inputs, whereas Llama 3.1 Nemotron 70B Instruct does not.

Gemini 2.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Flash-Lite

Text
Images
Audio
Video

Llama 3.1 Nemotron 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 License, while Llama 3.1 Nemotron 70B Instruct uses Llama 3.1 Community License.

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

Gemini 2.5 Flash-Lite

Creative Commons Attribution 4.0 License

Open weights

Llama 3.1 Nemotron 70B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Flash-Lite was released on 2025-06-17, while Llama 3.1 Nemotron 70B Instruct was released on 2024-10-01.

Gemini 2.5 Flash-Lite is 9 months newer than Llama 3.1 Nemotron 70B Instruct.

Gemini 2.5 Flash-Lite

Jun 17, 2025

12 months ago

8mo newer
Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash-Lite has a knowledge cutoff of 2025-01-01, while Llama 3.1 Nemotron 70B Instruct has a cutoff of 2023-12-01.

Gemini 2.5 Flash-Lite has more recent training data (up to 2025-01-01), making it potentially better informed about events through that date compared to Llama 3.1 Nemotron 70B Instruct (2023-12-01).

Gemini 2.5 Flash-Lite

Jan 2025

1.1 yr newer
Llama 3.1 Nemotron 70B Instruct

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
NVIDIA

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Flash-Lite
NVIDIA
Llama 3.1 Nemotron 70B Instruct

FAQ

Common questions about Gemini 2.5 Flash-Lite vs Llama 3.1 Nemotron 70B Instruct.

Which is better, Gemini 2.5 Flash-Lite or Llama 3.1 Nemotron 70B Instruct?

Gemini 2.5 Flash-Lite (Google) and Llama 3.1 Nemotron 70B Instruct (NVIDIA) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 2.5 Flash-Lite compare to Llama 3.1 Nemotron 70B Instruct in benchmarks?

Gemini 2.5 Flash-Lite scores FACTS Grounding: 84.1%, Global-MMLU-Lite: 81.1%, MMMU: 72.9%, GPQA: 64.6%, Vibe-Eval: 51.3%. Llama 3.1 Nemotron 70B Instruct scores GSM8k: 91.4%, HellaSwag: 85.6%, Winogrande: 84.5%, GSM8K Chat: 81.9%, MMLU Chat: 80.6%.

What are the context window sizes for Gemini 2.5 Flash-Lite and Llama 3.1 Nemotron 70B Instruct?

Gemini 2.5 Flash-Lite supports 1.0M tokens and Llama 3.1 Nemotron 70B Instruct 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 2.5 Flash-Lite and Llama 3.1 Nemotron 70B Instruct?

Key differences include multimodal support (yes vs no), licensing (Creative Commons Attribution 4.0 License vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Flash-Lite and Llama 3.1 Nemotron 70B Instruct?

Gemini 2.5 Flash-Lite is developed by Google and Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA.

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