Model Comparison

Gemini 3.5 Flash-Lite vs Qwen2-VL-72B-InstructWhich is better in 2026?

Comparing Gemini 3.5 Flash-Lite and Qwen2-VL-72B-Instruct across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.5 Flash-Lite vs Qwen2-VL-72B-Instruct — which is better?

Gemini 3.5 Flash-Lite (by Google) and Qwen2-VL-72B-Instruct (by Alibaba Cloud / Qwen Team) 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 3.5 Flash-Lite if…

  • you want the most recent training data — it shipped Jul 2026

Choose Qwen2-VL-72B-Instruct if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.5 Flash-Lite and Qwen2-VL-72B-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 3.5 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 3.5 Flash-Lite specifies output context (65,536 tokens).

Google
Gemini 3.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Wed Jul 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.5 Flash-Lite and Qwen2-VL-72B-Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 3.5 Flash-Lite

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.5 Flash-Lite is licensed under a proprietary license, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.

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

Gemini 3.5 Flash-Lite

Proprietary

Closed source

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Gemini 3.5 Flash-Lite was released on 2026-07-21, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Gemini 3.5 Flash-Lite is 23 months newer than Qwen2-VL-72B-Instruct.

Gemini 3.5 Flash-Lite

Jul 21, 2026

1 days ago

1.9yr newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Gemini 3.5 Flash-Lite has a knowledge cutoff of 2026-03-31, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.

Gemini 3.5 Flash-Lite has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to Qwen2-VL-72B-Instruct (2023-06-30).

Gemini 3.5 Flash-Lite

Mar 2026

2.8 yr newer
Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Alibaba Cloud / Qwen Team

Qwen2-VL-72B-Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.5 Flash-Lite and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.

Gemini 3.5 Flash-Lite
✓ Preferred
Qwen2-VL-72B-Instruct
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.5 Flash-Lite
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct

FAQ

Common questions about Gemini 3.5 Flash-Lite vs Qwen2-VL-72B-Instruct.

Which is better, Gemini 3.5 Flash-Lite or Qwen2-VL-72B-Instruct?

Gemini 3.5 Flash-Lite (Google) and Qwen2-VL-72B-Instruct (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 3.5 Flash-Lite compare to Qwen2-VL-72B-Instruct in benchmarks?

Gemini 3.5 Flash-Lite scores CharXiv-R: 76.5%, OSWorld-Verified: 74.0%, SWE-Bench Pro: 54.2%, Terminal-Bench 2.1: 54.0%, MLE-Bench: 39.2%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%.

What are the context window sizes for Gemini 3.5 Flash-Lite and Qwen2-VL-72B-Instruct?

Gemini 3.5 Flash-Lite supports 1.0M tokens and Qwen2-VL-72B-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 3.5 Flash-Lite and Qwen2-VL-72B-Instruct?

Key differences include licensing (Proprietary vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.5 Flash-Lite and Qwen2-VL-72B-Instruct?

Gemini 3.5 Flash-Lite is developed by Google and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.

Related comparisons