Model Comparison

Qwen2.5 VL 72B Instruct vs Gemini 2.0 FlashWhich is better in 2026?

Both models are evenly matched across the benchmarks.

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

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

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

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

Choose Gemini 2.0 Flash if…

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

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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

Both models are evenly matched across the benchmarks.

Fri Jul 17 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).

Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
Input- tokens
Output- tokens
Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Qwen2.5 VL 72B Instruct

Text
Images
Audio
Video

Gemini 2.0 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

Qwen2.5 VL 72B Instruct

tongyi-qianwen

Open weights

Gemini 2.0 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

Qwen2.5 VL 72B Instruct

Jan 26, 2025

1.5 years ago

1mo newer
Gemini 2.0 Flash

Dec 1, 2024

1.6 years ago

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.

Qwen2.5 VL 72B Instruct

—

Gemini 2.0 Flash

Aug 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

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%)
Google
Larger context window (1,048,576 tokens)
Higher MMMU score (70.7% vs 70.2%)
Alibaba Cloud / Qwen TeamQwen2.5 VL 72B Instruct
GoogleGemini 2.0 Flash
Compare in Playground

Detailed Comparison

Interactive Arena

Judge for yourself.

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

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

FAQ

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

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

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

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

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

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

Qwen2.5 VL 72B Instruct supports an unknown number of tokens and Gemini 2.0 Flash supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen2.5 VL 72B Instruct and Gemini 2.0 Flash?

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

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

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

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