Model Comparison

Gemini 2.5 Pro vs Qwen2.5-Omni-7B

Gemini 2.5 Pro significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 2.5 Pro outperforms in 2 benchmarks (GPQA, MMMU), while Qwen2.5-Omni-7B is better at 0 benchmarks.

Gemini 2.5 Pro significantly outperforms across most benchmarks.

Sat May 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 2.5 Pro specifies input context (1,048,576 tokens). Only Gemini 2.5 Pro specifies output context (65,536 tokens).

Gemini 2.5 Pro

Input1,048,576 tokens

Output65,536 tokens

Qwen2.5-Omni-7B

Input- tokens

Output- tokens

Sat May 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.5 Pro and Qwen2.5-Omni-7B support multimodal inputs.

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

Gemini 2.5 Pro

Text

Images

Audio

Video

Qwen2.5-Omni-7B

Text

Images

Audio

Video

License

Usage and distribution terms

Gemini 2.5 Pro is licensed under a proprietary license, while Qwen2.5-Omni-7B uses Apache 2.0.

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

Gemini 2.5 Pro

Proprietary

Closed source

Qwen2.5-Omni-7B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro was released on 2025-05-20, while Qwen2.5-Omni-7B was released on 2025-03-27.

Gemini 2.5 Pro is 2 months newer than Qwen2.5-Omni-7B.

Gemini 2.5 Pro

May 20, 2025

11 months ago

1mo newer

Qwen2.5-Omni-7B

Mar 27, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while Qwen2.5-Omni-7B's cutoff date is not specified.

We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Qwen2.5-Omni-7B's cutoff date.

Gemini 2.5 Pro

Jan 2025

Qwen2.5-Omni-7B

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Outputs Comparison

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Key Takeaways

Gemini 2.5 Pro

View details

Google

Larger context window (1,048,576 tokens)

Higher GPQA score (83.0% vs 30.8%)

Higher MMMU score (79.6% vs 59.2%)

Qwen2.5-Omni-7B

View details

Alibaba Cloud / Qwen Team

Has open weights

Gemini 2.5 Pro

Qwen2.5-Omni-7B

Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature	Gemini 2.5 Pro	Qwen2.5-Omni-7B

FAQ

Common questions about Gemini 2.5 Pro vs Qwen2.5-Omni-7B.

Which is better, Gemini 2.5 Pro or Qwen2.5-Omni-7B?

Gemini 2.5 Pro significantly outperforms across most benchmarks. Gemini 2.5 Pro is made by Google and Qwen2.5-Omni-7B 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 2.5 Pro compare to Qwen2.5-Omni-7B in benchmarks?

Gemini 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%. Qwen2.5-Omni-7B scores DocVQA: 95.2%, VocalSound: 93.9%, GSM8k: 88.7%, GiantSteps Tempo: 88.0%, ChartQA: 85.3%.

What are the context window sizes for Gemini 2.5 Pro and Qwen2.5-Omni-7B?

Gemini 2.5 Pro supports 1.0M tokens and Qwen2.5-Omni-7B 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 2.5 Pro and Qwen2.5-Omni-7B?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Pro and Qwen2.5-Omni-7B?

Gemini 2.5 Pro is developed by Google and Qwen2.5-Omni-7B is developed by Alibaba Cloud / Qwen Team.