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Gemini 3.5 Flash-Lite vs QvQ-72B-Preview

Gemini 3.5 Flash-Lite leads the LLM Stats Score 29.9 to 7.9.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 3.5 Flash-Lite leads the overall LLM Stats Score 29.9 to 7.9, ranking #123 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 3.5 Flash-Lite

  • overall performance matters — it scores 29.9 and ranks #123 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jul 2026

Choose QvQ-72B-Preview

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

At a glance

The differences that matter most.

Core performance indexes
29.9
#123
7.9
#281
25.9
#148
8.2
#275
Cost, coverage & limits
Benchmark wins
Input price
$0.30 / M
— / M
Output price
$2.50 / M
— / M
Context window
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 3.5 Flash-Lite
QvQ-72B-Preview
19.5#73
6.3#147
21.9#61
9.6#118
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Gemini 3.5 Flash-Lite · 4 for QvQ-72B-Preview

No common benchmarks found

Gemini 3.5 Flash-Lite and QvQ-72B-Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

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
QvQ-72B-Preview
Input- tokens
Output- tokens
Sun Sep 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3.5 Flash-Lite and QvQ-72B-Preview 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

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.5 Flash-Lite is licensed under a proprietary license, while QvQ-72B-Preview uses Qwen.

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

Gemini 3.5 Flash-Lite

Proprietary

Closed source

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

Gemini 3.5 Flash-Lite was released on 2026-07-21, while QvQ-72B-Preview was released on 2024-12-25.

Gemini 3.5 Flash-Lite is 19 months newer than QvQ-72B-Preview.

Gemini 3.5 Flash-Lite

Jul 21, 2026

1 months ago

1.6yr newer
QvQ-72B-Preview

Dec 25, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Gemini 3.5 Flash-Lite has a documented knowledge cutoff of 2026-03-31, while QvQ-72B-Preview's cutoff date is not specified.

We can confirm Gemini 3.5 Flash-Lite's training data extends to 2026-03-31, but cannot make a direct comparison without QvQ-72B-Preview's cutoff date.

Gemini 3.5 Flash-Lite

Mar 2026

QvQ-72B-Preview

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

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

Gemini 3.5 Flash-Lite
✓ Preferred
QvQ-72B-Preview
Open in Playground

FAQ

Common questions about Gemini 3.5 Flash-Lite vs QvQ-72B-Preview.

Which is better, Gemini 3.5 Flash-Lite or QvQ-72B-Preview?

Gemini 3.5 Flash-Lite leads the LLM Stats Score 29.9 to 7.9. Gemini 3.5 Flash-Lite is made by Google and QvQ-72B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 3.5 Flash-Lite compare to QvQ-72B-Preview 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%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for Gemini 3.5 Flash-Lite and QvQ-72B-Preview?

Gemini 3.5 Flash-Lite supports 1.0M tokens and QvQ-72B-Preview 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 QvQ-72B-Preview?

Key differences include LLM Stats Score (29.9 vs 7.9), licensing (Proprietary vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.5 Flash-Lite and QvQ-72B-Preview?

Gemini 3.5 Flash-Lite is developed by Google and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.