Model Comparison

Gemini 2.0 Flash-Lite vs Qwen3-Next-80B-A3B-Base

Comparing Gemini 2.0 Flash-Lite and Qwen3-Next-80B-A3B-Base across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 2.0 Flash-Lite and Qwen3-Next-80B-A3B-Base don'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 2.0 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash-Lite specifies output context (8,192 tokens).

Gemini 2.0 Flash-Lite

Input1,048,576 tokens

Output8,192 tokens

Qwen3-Next-80B-A3B-Base

Input- tokens

Output- tokens

Fri May 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash-Lite supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Base does not.

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

Gemini 2.0 Flash-Lite

Text

Images

Audio

Video

Qwen3-Next-80B-A3B-Base

Text

Images

Audio

Video

License

Usage and distribution terms

Gemini 2.0 Flash-Lite is licensed under a proprietary license, while Qwen3-Next-80B-A3B-Base uses Apache 2.0.

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

Gemini 2.0 Flash-Lite

Proprietary

Closed source

Qwen3-Next-80B-A3B-Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash-Lite was released on 2025-02-05, while Qwen3-Next-80B-A3B-Base was released on 2025-09-10.

Qwen3-Next-80B-A3B-Base is 7 months newer than Gemini 2.0 Flash-Lite.

Gemini 2.0 Flash-Lite

Feb 5, 2025

1.3 years ago

Qwen3-Next-80B-A3B-Base

Sep 10, 2025

8 months ago

7mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash-Lite has a documented knowledge cutoff of 2024-06-01, while Qwen3-Next-80B-A3B-Base's cutoff date is not specified.

We can confirm Gemini 2.0 Flash-Lite's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen3-Next-80B-A3B-Base's cutoff date.

Gemini 2.0 Flash-Lite

Jun 2024

Qwen3-Next-80B-A3B-Base

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Outputs Comparison

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Key Takeaways

Gemini 2.0 Flash-Lite

View details

Google

Larger context window (1,048,576 tokens)

Supports multimodal inputs

Qwen3-Next-80B-A3B-Base

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature	Gemini 2.0 Flash-Lite	Qwen3-Next-80B-A3B-Base

FAQ

Common questions about Gemini 2.0 Flash-Lite vs Qwen3-Next-80B-A3B-Base.

Which is better, Gemini 2.0 Flash-Lite or Qwen3-Next-80B-A3B-Base?

Gemini 2.0 Flash-Lite (Google) and Qwen3-Next-80B-A3B-Base (Alibaba Cloud / Qwen Team) 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 2.0 Flash-Lite compare to Qwen3-Next-80B-A3B-Base in benchmarks?

Gemini 2.0 Flash-Lite scores MATH: 86.8%, FACTS Grounding: 83.6%, Global-MMLU-Lite: 78.2%, MMLU-Pro: 71.6%, MMMU: 68.0%.

What are the context window sizes for Gemini 2.0 Flash-Lite and Qwen3-Next-80B-A3B-Base?

Gemini 2.0 Flash-Lite supports 1.0M tokens and Qwen3-Next-80B-A3B-Base 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-Lite and Qwen3-Next-80B-A3B-Base?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash-Lite and Qwen3-Next-80B-A3B-Base?

Gemini 2.0 Flash-Lite is developed by Google and Qwen3-Next-80B-A3B-Base is developed by Alibaba Cloud / Qwen Team.