Model Comparison

Gemini 2.0 Flash vs Qwen2.5 VL 72B InstructWhich is better in 2026?

Both models are evenly matched across the benchmarks.

Verdict: Gemini 2.0 Flash vs Qwen2.5 VL 72B Instruct — which is better?

Gemini 2.0 Flash (by Google) and Qwen2.5 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.

Gemini 2.0 Flash outperforms in 1 benchmarks (MMMU), while Qwen2.5 VL 72B Instruct is better at 1 benchmark (EgoSchema). Both models are evenly matched across the benchmarks.

Choose Gemini 2.0 Flash if…

  • you want predictable pricing at $0.10/M input and $0.40/M output

Choose Qwen2.5 VL 72B Instruct if…

  • you want the most recent training data — it shipped Jan 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 2.0 Flash outperforms in 1 benchmarks (MMMU), while Qwen2.5 VL 72B Instruct is better at 1 benchmark (EgoSchema).

Both models are evenly matched across the benchmarks.

Fri Jul 31 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 2.0 Flash specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
Input- tokens
Output- tokens
Fri Jul 31 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.0 Flash and Qwen2.5 VL 72B Instruct support multimodal inputs.

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

Gemini 2.0 Flash

Text
Images
Audio
Video

Qwen2.5 VL 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash is licensed under a proprietary license, while Qwen2.5 VL 72B Instruct uses tongyi-qianwen.

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

Gemini 2.0 Flash

Proprietary

Closed source

Qwen2.5 VL 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.

Qwen2.5 VL 72B Instruct is 2 months newer than Gemini 2.0 Flash.

Gemini 2.0 Flash

Dec 1, 2024

1.7 years ago

Qwen2.5 VL 72B Instruct

Jan 26, 2025

1.5 years ago

1mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while Qwen2.5 VL 72B Instruct's cutoff date is not specified.

We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without Qwen2.5 VL 72B Instruct's cutoff date.

Gemini 2.0 Flash

Aug 2024

Qwen2.5 VL 72B Instruct

—

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher MMMU score (70.7% vs 70.2%)
Alibaba Cloud / Qwen Team

Qwen2.5 VL 72B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher EgoSchema score (76.2% vs 71.5%)
GoogleGemini 2.0 Flash
Alibaba Cloud / Qwen TeamQwen2.5 VL 72B Instruct
Compare in Playground

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash and Qwen2.5 VL 72B Instruct side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash
✓ Preferred
Qwen2.5 VL 72B Instruct
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct

FAQ

Common questions about Gemini 2.0 Flash vs Qwen2.5 VL 72B Instruct.

Which is better, Gemini 2.0 Flash or Qwen2.5 VL 72B Instruct?

Both models are evenly matched across the benchmarks. Gemini 2.0 Flash is made by Google and Qwen2.5 VL 72B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.0 Flash compare to Qwen2.5 VL 72B Instruct in benchmarks?

Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%. Qwen2.5 VL 72B Instruct scores DocVQA: 96.4%, Android Control Low_EM: 93.7%, ChartQA: 89.5%, OCRBench: 88.5%, AI2D: 88.4%.

What are the context window sizes for Gemini 2.0 Flash and Qwen2.5 VL 72B Instruct?

Gemini 2.0 Flash supports 1.0M tokens and Qwen2.5 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 2.0 Flash and Qwen2.5 VL 72B Instruct?

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

Who makes Gemini 2.0 Flash and Qwen2.5 VL 72B Instruct?

Gemini 2.0 Flash is developed by Google and Qwen2.5 VL 72B Instruct is developed by Alibaba Cloud / Qwen Team.

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